eChapters

Introduction
The accurate identification of crop varieties is crucial for agriculture, plant breeding, and intellectual property protection. DNA-based techniques have emerged as powerful tools for distinguishing between crop varieties due to their precision and reliability. However, several challenges persist in the adoption and implementation of these techniques. Conventionally, morphological descriptors are routinely used for establishing the identity of varieties. But these morphological descriptors suffer from many drawbacks such as influence of environment on trait expression, epistatic interactions, pleiotrophic effects etc. Furthermore, the paucity of sufficient number of these descriptors for unequivocal identification of increasing number of reference collection of varieties enforces to look for alternatives. Electrophoresis of seed proteins and isozyme analysis have overcome these limitations to some extent but now many powerful DNA based techniques are available. Since all genetic differences between individuals are laid down in the primary sequence of their genomic DNA, the straightforward method of identification of crop varieties and parental lines would be to determine this sequence for the genome under comparison. Sequencing requires huge monitory investment and it is practically impossible to sequence the whole genomes of all varieties. But with the automation in sequencing now possible, short stretches of amplified DNA can be sequenced. However, a more practical strategy would be to limit the comparisons to specific regions of the genome, which frequently differ between individuals.

Introduction
Identification of crop varieties is one of the major tasks required in modern agriculture, plant breeding, and seed certification systems. The correctness of identification ensures that the varietal purity is sustained, advocates the rights of plant breeders, and guarantees quality seeds that will perform expectedly under specified agro-climatic conditions to farmers (Yu and Chung, 2021). The growing number of crop varieties due to the intensive breeding programmes all over the world makes it equally important to be able to differentiate between cultivars. Variety identification serves several purposes, such as:
• Seed Quality Assurance: Used to prevent the sale of spurious or mislabeled seeds.
• Intellectual Property Rights (IPR): Legal protection of new plant varieties by acts like the Plant Variety Protection (PVP).
• Biodiversity Conservation: Tracking and documenting existing genetic resources.
• Regulatory Compliance: Aids in Distinctness, Uniformity and Stability (DUS) testing protocols.
• Traceability in Food Supply Chains: Ensures safety for consumers and compliance with labeling standards.
Thus, crop variety identification forms the basis of integrity in agricultural systems and is the coordination mechanism for protecting innovations in plant breeding with regulatory frameworks both at national and international levels (Jones et al., 2013; Kage et al., 2016; Cockram et al., 2012).

Introduction
With advancements in molecular biology, DNA-based technologies have shown great potential in enhancing the efficiency of crop breeding programs, preserving germplasm resources, improving the quality and yield of agricultural products, and protecting the environment. As a result, their role in modern agriculture is becoming increasingly important.
DNA is the main genetic materials of all cellular organisms; preserving DNA itself is one way of preserving germplasm resources (Geptset al.,2006). The advancement of biotechnology and molecular biology has made it possible to regulate or even control plant traits using DNA sequence information, including its structure, function, and mechanisms.DNA technologies based on DNA molecular markers, transgenic technology and gene expression have been widely used in agricultural production which have showed great potential in improving agricultural yields and quality, reducing the loss that various biotic and abiotic stress caused, promoting the utilization of germplasm resource, improving breeding efficiency and strengthening the regulation of plant growth. (Garciaet al.,2005)
These modern DNA technologies, with their high feasibility and necessity, play a crucial role in ensuring the sustainable development of agriculture. Although agriculture encompasses both plant and animal production, DNA technologies in these fields share similar technical purposes and types. Therefore, this study focuses on reviewing the agricultural applications of DNA technologies by exploring their utilization in plant production. Numerous reports have documented the application of various DNA technologies in agricultural production. However, as these technologies continue to evolve and advance, it becomes challenging to cover every DNA technique in detail..DNA technology holds immense promise for the future of crop identification, enabling precise and efficient breeding, accelerating the development of improved varieties, and contributing to sustainable food systems. Here’s a breakdown of the key future prospects:

1. Introduction
Crop health valuation plays a vital part in modern agriculture as it positively stimulates food security, economic constancy, and ecological sustainability. This process involves monitoring and evaluating the growth and development of crops, finding possible stressors or diseases, and executing suitable management practices. Judicious and precise evaluation of crop health permits early exposure of diseases, pests, and other irregularities. Detecting these problems at their early growth stages can aid prevent extensive occurrences and decrease the need for unnecessary pesticide use, indorsing justifiable crop management practices. Assessing crop health on a regular basis help in enhancing yields by detecting factors that could inhibit crop productivity. Agricultural systems can be made resource-efficient by incorporating tools, modern technologies and information management systems that come under the precision agriculture concept. Modern scientific improvements, comprising Global Positioning System (GPS), grain yield monitoring system, Variable Rate Technologies (VRT), sensor networks, and Femote Sensing (RS), have assisted farmers to detect in-field heterogeneity of crop and soil and adopt site-specific farm management practices. Varying the application of inputs with VRT can decrease the cost of inputs and labor, increase productivity, and decrease the potential environmental influences from the overuse of farm inputs. However, the success rate of VRT needs precise and consistent information on the location and extent of crop and soil health conditions, such as crop nutrient shortages, soil and crop water deficiency, and injury caused by insect pests, weeds, or pathogens. So far, the dominant remote sensing technologies that the farming sector has used are visible (VIS), Near-Infrared (NIR), and short-wave infrared (SWIR) sensors. The use of thermal sensors in agriculture is to some extent narrow despite its wide use in the areas of medical science (Ring and Ammer, 2012), intelligence/military (Hinz and Stilla, 2006), and the food processing sector (Vadivambal and Jayas, 2011). By providing temperature variations of soil and crop canopy, thermal remote sensing has the prospective to be used for various

1. Introduction
In the realm of modern agriculture, achieving sustainability is paramount. The judicious use of resources and the maintenance of soil and crop health are vital components of this endeavor. Remote sensing is a powerful technique used to gather information about the Earth’s atmosphere and surface without direct physical contact (Lillesand et al., 2015). It involves the acquisition, measurement, and analysis of data from sensors aboard platforms such as satellites, airplanes, drones, or ground-based instruments. These sensors record electromagnetic radiation, providing valuable insights into various aspects of the Earth’s environment. Remote sensing technology has emerged as an invaluable tool for achieving these objectives, offering a range of benefits for sustainable agriculture (Jensen, 2009). With the advent of modern technologies such as hyperspectral remote sensing (HRS) that collects information in narrow contiguous bands, many new avenues of applications have come up. This detailed spectral information enables the precise identification and classification of objects based on their unique spectral signatures. Further, the narrow spectral reflectance provides significant information regarding the biophysical, biochemical, and physiological parameters of crops. These characteristics of HRS provides opportunities for improved feature identification, anomaly detection, and quantification. Often HRS data also complement to the remote sensing data, such as LiDAR or SAR (Synthetic Aperture Radar), allowing for a more comprehensive understanding of the Earth’s surface and its features. All these features of HRS enables precision agriculture, allowing the management practices as per the specific needs of the fields. By assessing soil and crop conditions remotely, one can apply resources like water, fertilizers, and pesticides precisely where and when they are needed. This minimizes waste and reduces the environmental impact of agricultural operations. Hyperspectral remote sensing can also assess critical soil parameters such as moisture content, pH levels, and nutrient concentrations. Monitoring these factors over time helps farmers make informed decisions about soil management and the choice of suitable crops. It also aids in preventing soil degradation and erosion. Early detection of stressors like pests, diseases, and nutrient deficiencies is crucial for maintaining crop health and maximizing yields. Remote sensing provides a timely and accurate means of monitoring crop conditions across large areas, enabling rapid responses to threats and reducing yield losses. In regions with water scarcity, efficient water management is essential. Remote sensing can track soil moisture levels and assess irrigation needs. By optimizing irrigation practices, farmers can conserve water resources while maintaining crop productivity. Remote sensing, particularly hyperspectral remote sensing can detect changes in

1. Introduction
Soils stand out as an intricate and diverse ecosystem on our planet. Their significance extends beyond supplying 98.8% of the world’s food, encompassing a wide array of essential services such as carbon storage, regulation of greenhouse gas emissions, flood prevention, and offering support to burgeoning urban populations. However, it is crucial to recognize that soil is a finite natural resource. The unprecedented growth of the human population, escalating from 250 million in the year 1000 to 6.1 billion in 2000, with projections reaching 9.8 billion by 2050, along with the intensified practices of agricultural production, is exerting immense pressure on the sustainability of soils.
For long-term sustenance the concept of ‘Soil quality’ was propagated around three decades back from now in the United States of America, and further expanded to the scientists of European and Asian countries. Soil health and soil quality are two interweaving term that signifies the potentiality or capacity of soil towards mankind. These two words complement each other in such a way that one term automatically comes with another to determine both aspects i.e. agricultural sustainability and environmental quality in terms of plant, animal and human health (Haberern, 1992; Doran, 2002). Idowu et al. (2007) remarked that the term “soil quality” is more favoured by scientists, whereas “soil health” is a term favoured by farmers as it connotes a holistic approach to soil management. The inception and application of soil quality term was officially approved by Soil Science Society of America (SSSA). They defined soil quality as “The capacity of a specific kind of soil to function within natural or managed ecosystem boundaries, to sustain biological productivity, maintain environmental quality, and promote plant and animal health” as illustrated by Karlen et al. (1997). It is a complex composition of certain properties associated with physical (texture, bulk density, water holding capacity, infiltration capacity etc.), chemical (pH, EC, organic carbon, extractable macronutrient and micronutrient etc.) and biological (microbial activity and related parameters) conditions of soil (Prabha et al., 2020). There are primarily two key methodologies for assessing soil quality: the descriptive approach, which focuses on characterizing various aspects or attributes of soil quality, and the Indicative approach, which aims to identify the ability or capacity of an attribute in a desired manner. The comprehensive process of developing a soil quality index is guided by the 3-Is framework: the Identification of indicators, Interpretation, and Integration of selected soil quality indicators. It is important to note that the specific set of indicators utilized can vary between different soils, diverse agroecosystems, and from one crop to another. Additionally, climatic conditions and other abiotic factors may also significantly influence the assessment of soil quality.
The USDA has categorized soil quality indicators into four primary groups: visual, physical, chemical, and biological indicators. However, in the current context, the dominant indicators are physical, chemical, and biological. For a systematic assessment of soil quality, it is crucial to collect individual parameters and integrate them meaningfully. Consequently, integrated soil quality indicators

1. Introduction
Ecosystem Services (ES) are actually the benefits human beings derive from their interaction with nature (Reyers et al., 2013; Ernstson, 2013). Around 400 BC, Plato observed how important service provided to Attica by the forests and subsequent loss of forests lead to drying spring and soil erosion (Mooney and Ehrlich, 1997). Thus, the work of Plato highlights that how the people were even then aware of the critical services provided by nature much before the industrial revolution (Rapidel et al., 2011). These ES are categorised into mainly provisioning, supporting, regulating and cultural services as per the Millennium Ecosystem Assessment (MEA, 2005). In fact, the increasing population warrants more and more set of ES (Biggs et al., 2015). A combination of factors responsible for delivery of ES like geology, climate, ecosystem, management scenarios, society, techniques, skills etc. that led to ES in an agricultural ecosystem (Kroll et al., 2012; Swinton et al., 2007). The ordinary nature largely comprised of agricultural lands (i.e., intensive crops, species poor, artificial pasture) that covers around 37.4% of total Earths’ land surface (FAOSTAT, 2016; Leff et al., 2004). Converting large tract of pristine lands into agricultural land and other competing uses considered to be one of the main reasons for biodiversity loss and land degradation (Tilman et al., 2001). Thus, meeting the challenge of working with limited arable land to feed our population in an eco-friendly manner requires our proper understanding of processes/mechanisms involved in nutrient availability/dynamics including fixation/ release pattern and refining the best management practices (Kumar et al., 2022a). The production of food has been targeted at the cost of other ES like supporting, cultural and non-marketable provisioning services (Muller et al., 2016; Foley et al., 2005; MEA, 2005). There is complex interaction between ecosystem and societal changes in an agricultural landscape. One is intermittently connected to other. Thus, it requires thorough understanding of the processes and biophysical factors that affect ES research, in particular and social-ecosystem, in general (Reed
et al., 2013; Carpenter et al., 2006; Plieninger et al., 2013). The ES that contribute to the agricultural production are mostly linked to aspect of soil fertility, biological control as well as pollination (Bommarco et al., 2013; Duru et al., 2015).

1. Introduction
Water is the most crucial input for agricultural production. Globally, more than 80% of all freshwater used by humans are consumed in agriculture and most of it are for crop production (Morison et al., 2008). Currently about 60% of production in developing countries is derived from rainfall. Though irrigation provides only 10% of agricultural water use and covers just around 20% of the cropland, it can contribute about 40% of total food production since productivity of irrigated land is almost three times higher than that of rainfed land. The Food and Agriculture Organization (FAO) has predicted a net expansion of irrigated land of about 45 million is hectares in 93 developing countries (for a total of 242 million hectares in 2030). It projected that water withdrawals by the agriculture sector will increase by about 14% during 2000 – 2030 to meet the growing food demands (FAO, 2006). It is estimated that by 2050 in India, about 22 % of the geographic area and 17 % of the population will be under absolute water scarcity. The per capita availability of water which was about 1704 cubic meter in 2010 is projected to be 1235 cubic meter in 2050 (Anonymous, 2011). Infrastructure to increase the command area and minimize the gap of irrigation potential created and utilized is the dominant component of overall investment in agriculture (Anonymous, 2011). Besides this, judicious agricultural water management assists in ensuring good returns through efficient use of fertilizers and high yielding crop varieties. Above all, water will remain as a critical input for attaining sustainability in agricultural production. India’s current water supply is approximately 740 billion m3, which necessitates implementation of judicious water management technologies to enhance crop water productivity. In recent decades the world’s population has shown tremendous growth from an estimated 2.5 billion in the 1950’s to approximately 6.7 billion till date. It is expected that reduction in the average size of land holding, declining per capita water availability, deterioration of water quality etc. will seriously affect the sustainable use of water resources and will make it difficult to accomplish the target of producing 345 Mt of food grain in 2030 and 494 Mt in 2050 AD. To achieve the targeted food production, increase in the crop productivity from the present 2.3 to 4.0 t ha-1 under irrigated conditions and from 1.0 t ha-1 to 1.5 t ha-1 in rainfed area, productivity need to be increased at individual field level. This demands efficient use of water in agriculture, which can be achieved by reducing the losses of water and increasing the water uptake by the crops and it requires quantification of different water budgeting parameters like evapotranspiration and deep percolation.

1. Introduction
Soil hydrothermal regime refers to the distribution and movement of water and heat within the soil. It describes the patterns of soil moisture and temperature variation over time and space. Understanding the hydrothermal regime is important in agriculture, ecology, and engineering, as it affects various soil processes, plant growth, and the behaviour of soil-related structures. The hydrothermal regime of soil is influenced by several factors, including climate, topography, vegetation, soil properties, and land use practices. The movement of water within the soil is driven by precipitation, irrigation, evaporation, and plant uptake (Aggarwal et al., 2009). It can be affected by soil physical properties such as soil texture, structure, porosity, and permeability. Water moves through the soil in response to hydraulic gradients, which are determined by the difference in soil water potential. Soil temperature is influenced by solar radiation, air temperature, and heat fluxes at the soil surface. It varies with depth and can be affected by factors such as soil color, moisture content, vegetation cover, and the thermal properties of the soil. The hydrothermal regime of soil has significant implications for plant growth and development. It affects processes such as seed germination, root growth, nutrient availability, and microbial activity. It also plays a crucial role in soil erosion, groundwater recharge, and the movement of pollutants within the soil profile. Soil’s thermal properties are pivotal in determining the microclimate, which subsequently influences critical stages like seed germination, the growth of seedlings, and the successful established of a crop stand. These properties are vital for modelling the movement of energy, water, and nutrients in soil. Soil thermal regimes are shaped by static properties such as texture and mineralogy and dynamic properties including water content, compaction, organic matter, and porosity. These dynamic properties including water content, compaction, organic matter, and porosity. These dynamic properties, significant to significant change during various farming operations can be adjusted with suitable soil and crop management strategies. Soil moisture content has a significant effect on the soil thermal conductivity. The relationship between soil moisture and thermal conductivity

1. Introduction
Precision farming, often referred to as precision agriculture, is an advanced agricultural management approach that leverages technology and data-driven strategies to optimize various aspects of farming operations. At its core, precision farming involves the precise measurement and control of variables like soil conditions, crop growth and environmental factors to enhance productivity, sustainability and resource efficiency. This approach encompasses use of a wide range of automated technologies, including Global Positioning System (GPS), Geographic Information Systems (GIS), remote sensing, sensor networks and automated machinery.
The significance of precision farming lies in its potential to revolutionize agriculture by addressing sustainability and conservation of resources. Precision farming is able to tailor farming practices to specific field conditions. This sitespecific management approach minimizes resource wastage, incumbent costs and environmental hazards. It enhances crop management through real-time monitoring and data analysis. By the use of GPS fitted automated machinery, drones and robotic harvesters and advanced decision support system labour costs are reduced and efficiency is increased (Gebbers and Adamchuk, 2010).By employing soil sensors, and satellite imagery, farmers can gain valuable insights of soil moisture, nutrient levels and pest infestations which helps in irrigation scheduling and adequate fertilizer application (Srinivasan et al., 2019). In contemporary agriculture, the need for sensor-based approaches in soil management has become increasingly apparent. These approaches harness cuttingedge technology and data-driven solutions to optimize soil health, crop production and resource utilization. One of the primary advantages of sensor-based approaches is their ability to monitor soil moisture levels. Soil moisture sensors, such as those based on time-domain reflectometry (TDR) or capacitance technology, provide continuous data on soil moisture content at different depths (Dzikiti et al., 2012). In addition to monitoring moisture and nutrients, sensors can assess other vital soil parameters. Soil pH sensors help maintain the optimal pH level for crop growth, as soil pH can affect nutrient availability. Compaction sensors identify areas of soil compaction, allowing for targeted tillage practices to alleviate compaction and improve root growth. These are just a few examples of how physical parameter sensors can address soil health challenges, as documented in studies by Marchetti et al. (2018) which emphasizes the role of sensors in mitigating soil erosion. Chemical parameters sensors like soil nutrient sensors, such as ion-selective electrodes, can measure key nutrients like nitrogen, phosphorus and potassium. This information enables farmers to tailor their fertilization practices with pinpoint accuracy through variable rate technology (VRT) (Zhao et al., 2018). Moreover, sensor data can be integrated with Geographic Information Systems (GIS) and global positioning systems (GPS) to create detailed soil maps, aiding in sitespecific management strategies.

1. Introduction
Nanotechnology, which involves manipulating and controlling matter at the nanoscale, offers innovative solutions for enhancing soil quality, nutrient management, and remediation of contaminated soils (Lal et al., 2019). According to the Food and Agriculture Organization (FAO, 2015), approximately 33% of global soils are degraded due to erosion, nutrient depletion, and chemical contamination. This degradation poses a severe threat to food security and environmental sustainability. Moreover, the world population is projected to reach 9.7 billion by 2050, placing further pressure on agricultural systems to produce more food without degrading soil resources (Tripathi et al., 2019). In this context, nanotechnology presents a promising avenue for sustainable soil management. The unique properties exhibited by nanomaterials enable precise monitoring, targeted delivery of nutrients, and effective remediation of soil contaminants. Nanosensors equipped with nanomaterials and nanoparticles allow real-time monitoring of soil parameters, enabling farmers to make informed decisions regarding irrigation, fertilization, and pest management (Gogos et al., 2017). For instance, a case study conducted by Smith et al. (2021) demonstrated the effectiveness of nanosensors in monitoring soil moisture levels and optimizing irrigation practices, resulting in a 20% reduction in water usage while maintaining crop yield.
Furthermore, nanotechnology offers innovative solutions for nutrient management in agricultural soils. Nanoencapsulation techniques allow controlled release of fertilizers, minimizing nutrient leaching and improving nutrient uptake by plants (Lal et al., 2019). In a case study by Johnson et al. (2020), the application of nanoencapsulated fertilizers resulted in a 15% increase in nutrient use efficiency and a reduction in fertilizer runoff by 30%, thus improving soil health and reducing environmental pollution.
Moreover, nanomaterials exhibit high sorption and catalytic properties, enabling efficient removal of heavy metal contaminants and organic pollutants from soils, thus mitigating soil contamination risks (Wang et al., 2022). A case study conducted by Chen et al. (2019) demonstrated the successful remediation of a heavily contaminated soil site using iron oxide nanoparticles, resulting in a significant reduction in heavy metal concentrations and improvement in soil health indicators.

1. Introduction
Global food insecurity is a prominent concern today, and this concern continues to haunt with exponential population growth, coupled with significant climate changes. The global population has increased at a rapid rate to around 8 billion in number which has led to a corresponding rise in food demand worldwide (UNFPA, 2023). Consequently, ensuring ample crop production has emerged as a primary objective for the entire world. According to World Bank (2023), an important strategy to bring down extreme poverty levels, fostering shared prosperity and providing sustainability for the expected population rise of 9.7 billion is agricultural development by 2050. Nevertheless, optimizing the productivity of a crop is never an easy task. Crop plants continuously face exposure to different abiotic and/or biotic factors, which retard growth and development processes ensuing their reduced productivity and diminished crop quality. Agricultural crops are vulnerable to biotic stresses such as bacteria, nematodes, fungi and herbivores. In addition to biotic factors, these challenges are further exacerbated by abiotic stresses like flooding/waterlogging, drought, temperature variations, soil salinity/alkalinity, heavy metals, nutrient deficiencies and CO2. They have a detrimental impact on crop at different stages of plant growth, ranging from entire plant to tissue and sub-cellular structures. Moreover, the abiotic stressors cause a direct impact on crops by inducing protein denaturation and aggregation, while also increasing the fluidity of membrane lipids (Kumari, 2022). According to Oshunsanya et al. (2019) major abiotic stresses i.e. extreme temperatures, drought, and nutrient deficiency/toxicity, contributes to significant annual crop yield losses ranging from 51-82% worldwide. On the other hand, yield penalties due to waterlogging merely is supposed to increase from 3–11% today to around 10–20% by 2080 (Liu et al., 2023). Daryanto et al. (2016) reviewed the published literatures from 1980-2015 and reported global yield reductions due to drought estimating around 21 % and 40%, respectively in wheat and maize.

1. Introduction
Soil is an extremely complex ecosystem and performs many functions, i. e, biomass production; food contingency, fuel and fibre; buffering and transforming actions; breakdown of organic matter; nutrients recycling; carbon sequestration; providing a biological habitat; source of raw materials; and regulation of water quality and supply (Weil and Brady, 2017; Telo da Gama, 2023). However, because of natural as well as anthropogenic reasons, there is a widespread degradation of soils. Soil degradation means deterioration in overall soil functioning which leads to slowdown of distribution of ecosystem services because of the impairment of soil health through anthropogenic perturbations. Therefore, farmers and researchers are very much concerned about soil health and crop productivity. Soil health status and its quality are often used interchangeably and have been defined by research community differently but recently the word soil health is acquiring popularity due to its flexibility in allowing diverse stakeholders, including policymakers to use the term in their own way. Recently, soil health is a topic of much discussion and research (Bünemann et al., 2018). Soil health is described as “the continued capacity of soil to function as a vital living ecosystem that sustains plants, animals, and humans” (USDA-NRCS, 2019). A broader, ecologically based approach is “the capacity of soil to function as a vital living system, within ecosystem and land-use boundaries, to sustain plant and animal productivity, maintain or enhance water and air quality, and promote plant and animal health” (Doran et al., 2000). Soil health refers to the actual capacity of a soil to function, contributing to ecosystem services. Many have defined it as “fitness for use” while the rest regard as “capacity of the soil to function”. Lehmann et al. (2020) stated that the concept of soil health “connects agricultural and soil science to policy, stakeholder needs and sustainable supply-chain management” and compared the soil health concept to soil fertility, soil quality and soil security. Furthermore, they came to a conclusion that soil health is narrower concept than soil security, but more comprehensive than soil quality and even broader than soil fertility, in relation to the current sustainable development goals (SDGs) as proposed by United Nations. From an overall perspective. Soil health comprises of refinement and unification of the chemical, physical, physico-chemical, biophysical, biochemical indicators of soil that supports productivity and environmental quality (Figure 1). Soil can be classified as healthy or unhealthy based on its ability to sustain plant and animal productivity while maintaining air and water quality.

1. Introduction
Global food security threatened by climate change is one of the most important challenges in the 21st century to supply sufficient food for the increasing population on diminishing agricultural land while sustaining the already stressed environment. Global agricultural production is highly vulnerable as key crops such as maize, wheat, rice, and legumes will be negatively affected by climate change. The study showed that each degree Celsius increase in global mean temperature is estimated to reduce the average global yield of cereal crops by 6-15%. Further, predicted changes in climate may affect water availability and key soil processes such as respiration and nitrogen (N) mineralization, thus key ecosystem functions such as carbon (C) storage, nutrients, and water availability. Although crop growth simulation models are being utilized to understand the impact of climate change scenarios on aboveground biomass, the roots and their architecture, which are essential for plant adaptation and productivity, need to be studied more due to the difficulty of observing them during the plant life cycle. The root system and its architecture are highly responsive to external environmental conditions such as soil moisture, nutrients, temperature, pH and microbial communities; therefore, it is high time to study below-ground responses to future climate scenarios. The study of plant roots represents a highly promising yet underexplored area of research related to plant growth. While the aerial parts of plants have received significant attention due to their visibility and accessibility, the underground portions have been largely overlooked due to the challenges in observing and sampling them and the disruption caused when roots are removed from the soil. Plants’ efficiency of water and mineral nutrient uptake largely depends on how effectively new root tips penetrate soil horizons and how these roots eventually die and decompose. The plant’s ability to access soil resources depends on the size of its root system and the activity of its growing root tips. Root growth is influenced by both genetic factors and environmental conditions. For example, fine root dynamics vary with the seasons, with increased vegetative growth and nutrient release occurring during the monsoon months. (Kumar et al., 2020). Further research is needed to assess how different tillage and water management practices affect rooting behaviours, soil water extraction, and nutrient uptake.

1. Introduction
Sustainable crop production describes farming practices that do not negatively impact the environment, biodiversity, natural agroecosystem, or the quality of the crops produced. Growing crops sustainably improves the system’s capacity to sustain long-term, steady, and uniform levels of food production and quality without raising the need for or increasing the demand for agricultural inputs necessary for effective management. Sustainable crop production deals with keeping the soil healthy with the integrated approach of maintaining organic matter, protecting biodiversity while reducing use of pesticides, ensuring food safety and food quality. It is an approach to grow food to feed our population without adversely affecting the natural ecosystem, soil and biodiversity, natural resources, environment etc. Since the soil is one of the key natural resources for food production, establishing and preserving soil health is crucial for agricultural sustainability and ecosystem function. The distinction between soil quality and health is quite narrow, and the phrases are sometimes used interchangeably. The “fitness for use,” “capacity of a soil to function,” or “the ability of the soil to serve as a natural medium for the growth of plants that sustain human and animal life” are some basic definitions of soil quality (Karlen et al., 1992; Pierce & Larson, 1993; Doran & Parkin, 1994; Acton and Gregorich, 1995; Karlen et al., 1997). Assessment of soil health by analyzing different associated attributes is necessary to monitor its status. However, soil health or quality evaluation focuses on the physical, chemical, and biological parameters which are highly interlinked to one another. All the parameters have their significant effect in governing overall soil health. This chapter will discuss the chemical parameters only which are very much important for the sustainable crop production and have very crucial role in determining the soil health. It will cover important chemical parameters, essential plant and soil nutrients, heavy metals, agrochemicals etc. which having significant effect on soil health determination

1. Introduction
Studies on soil health and agricultural growth are increasingly using artificial intelligence (AI) and machine learning (ML) techniques. With the help of these technologies, it is possible to analyse vast amounts of data and gain insightful knowledge that will help to boost crop yields and optimise agricultural practises (Neethirajan, 2020). Applications of AI and ML to research crop development and soil health have enormous potential to revolutionise agriculture. In order to increase soil health and crop yield, farmers and researchers can use these technologies to analyse massive datasets, generate precise forecasts, and optimise farming practises. Overall, artificial intelligence (AI) and machine learning (ML) provide useful tools that can support efficient and sustainable agriculture, solving global concerns in food availability and the sustainability of the environment. Unquestionably, technical developments have significantly increased the productivity and efficiency of many industries, including agriculture. The advent of words like “big data,” “data analytics,” “artificial intelligence,” “Internet of Things,” “erosion modelling,” “smart farming,” and “machine learning” are just a few examples of this technological revolution (Almoussawi et al., 2022). Digital soil mapping (DSM) uses computational models to infer regional and temporal shifts of soil types and properties based on soil observations, prior knowledge, and relevant environmental variables in order to create and populate spatial soil information systems. The supply chain for agricultural production is extremely intricate (Lamichhane et al., 2019). The way our food is produced, distributed, and consumed is changing as a result of AI. When planning crop rotations, planting times, water and nutrient management, pest and disease control, optimal harvesting, food marketing, product distribution, food safety, and other agriculture-related tasks throughout every step of the food supply chain, researchers use powered by AI tools to supply advice and expertise. In “Harnessing AI to transform agriculture and inform agricultural research,” Peters et al. (2020) presented a summary of the most recent developments, difficulties, and prospects for AI technology in agriculture. They use the four main elements of the food system—production, distribution, consumption, and uncertainty—to show the possibilities of AI. They come to the conclusion that agricultural businesses are excellent candidates for using AI and other technologies. In “AI down on the farm,” Sudduth et al. (2020), examined a number of case studies in which machine learning (ML) has been used to model various aspects of agricultural production systems and give data that can be utilised to make management decisions at the farm level. These research efforts involve providing data, essential for creating precise and effective irrigation systems and improving tools for suggesting the best nitrogen fertilisation rates for maize. Traditional crop health monitoring techniques need a lot of work and time. Using AI to monitor and detect potential crop problems or nutrient deficits in the soil is an effective method. Applications to analyse plant health trends in agriculture are being created with the aid of deep learning. These AI-powered tools are essential for improving our understanding of soil quality, crop pests, and disease in plants (Virnodkar et al., 2020).

1. Introduction
Fish and fisheries remains to be an important sector for Indian economy providing food, nutrition as well as employment to a large share of the population. Initiating with a production of merely 7.7 lakh ton of fishes in 1951-52, the country was on its way of increasing the production steadily and has now attained the phenomenal success of producing 162.5 lakh ton during 2021-22. Of this total amount, 41.3 lakh ton has been obtained from marine fisheries and 121.2 lakh ton from inland resources (Anon, 2022). For the inland fisheries production, the contribution of fish culture sector was much lower than that from capture fisheries for several decades during the initial phases. However, the production of culture fisheries maintained a consistently increasing trend and has now surpassed in magnitude the production from capture fisheries sector (Fig.1). With the potential areas for fish culture being gradually used up for different purposes, maintaining such high production rates in coming days will be possible only through optimum management of various factors which govern the productivity of the ponds. Among such factors, one important aspect is nourishing the quality of pond soil and water.

1. Introduction
As climate change advances, risk of managing soil and atmosphere with regard to emission and pollution is going out of hand. Many researches and reports say that currently the global warming is 1.1°C more than the pre-industrial levels, which is not far behind the target of 1.5°C which was agreed by nations under the Paris agreement in 2015 (Janki M, 2023). Achieving that will likely involve removing carbon dioxide from the atmosphere, according to the Intergovernmental Panel on Climate Change. But strategies like capturing and storing the carbon emissions from biofuel-burning power plants, or planting new forests to absorb carbon, can create their own problems. Recently UN security general said we are shifting to the “Era of global boiling” from global warming. Globally countries are witnessing unbearable heat waves, forest fires, irregular rainfall, flashfloods, coral bleaching and unpredictable weather patterns which often resulting in devastating effects on the coastal and hilly regions of the country. Around nine tipping points have been identified so far globally. Climate tipping points are threshold that when crossed leads to irreversible changes in the climate system and will have a severe impact on the living organisms on the earth. All these variations in climate are driving by increasing greenhouse gas (GHG) emissions and global warming. We cannot change the state of atmosphere to as existed thousands or millions of years ago. Only option left with us is to reduce emissions and prevention of further global warming and climate change. As we are already existing in some level of changed climate, responding to climate change involves a two-pronged approach, reducing emissions of and stabilizing the levels of heat-trapping greenhouse gases in the atmosphere through mitigation and secondly, adapting to the climate change. Because climate change is irreversible process.

1. Introduction
Soil salinity is a global threat which affects crop production and poses challenges to sustainable development in various regions worldwide. Worldwide, salinity and sodicity impact 20% of cultivated land and 33% of irrigated land, respectively (Kumar and Sharma, 2020). Global map of salt–affected soil (SAS) indicated that 0.424 billion hectares of upper soil layer (0–0.3 m) and 0.833 billion hectares of subsoil layer (0.30–1 m) are salt-affected (FAO, 2021) and by 2050, salinization will degrade 50% of agricultural land (Wang et al., 2003). In India, SAS currently occupy 2.1% of total geographical area. Among the SAS, 2.96 million ha is saline and 3.77 million ha is sodic (Narjary et al., 2024). Due to salinity and sodicity, yearly 16.8 million megagram of agricultural produce are wasted in India, costing of ? 230.2 billion (Sharma et al., 2015).
Salt–affected soils are a significant concern in several regions of India. These soils contain high level of sodium salts (NaCl, Na2SO4, NaHCO3, Na2CO3) which adversely affect soil fertility and crop productivity. Here are some areas in India known to have salt–affected soils:
1. Indo–Gangetic Plain: The Indo–Gangetic Plain, spanning across states like Punjab, Haryana, Uttar Pradesh, Bihar, and parts of West Bengal, is prone to salinity issues. Over–irrigation, poor drainage, the presence of salt containing parent materials in the lithology and use of saline irrigation have contributed to soil salinity.
2. Coastal Regions: Coastal regions in India, such as parts of Gujarat, Maharashtra, Tamil Nadu, Andhra Pradesh, Karela, Odisha and Andaman and Nicobar Islands experience salinity problems due to sea water intrusion and the presence of coastal saline soils. These soils are affected by high levels of sodium chloride and other salts, making them unsuitable for cultivation of most arable crops.
3. Arid and Semi–Arid Regions: Arid and semi–arid regions, including areas in Rajasthan, Gujarat, and parts of Madhya Pradesh, face the risk of soil salinization due to low rainfall, high evaporation rates, and poor– quality irrigation water. Waterlogging in these regions can also lead to soil salinization.
4. Irrigation Command Areas: Certain irrigation command areas in different states, including Punjab, Haryana, and Uttar Pradesh, have witnessed salinity problems as a result of improper water management, excessive irrigation, and inadequate drainage infrastructure.

1. Introduction
The amount of water present in the soil is called as soil moisture. The soil moisture availability is an important topic to study as it affects plant growth, agricultural outputs and the water resource management as well. The amount of soil moisture present in a place and in a time depends on the factors like soil type, Land use, vegetation cover of the place and evaporation taking place in that area at that time. The amount of water hold by the pores in the soil determines the soil moisture. This water holding by the soil depends on various factors like temperature, moisture levels, organic matters and the soil living organisms (Rasheed et al., 2022). Essential Climate variable (ECV) is very important to our planet which can be recognized by GCOS (Global Climate Observing System). Important sustainable development issues say drought, flood management, food security, ecological health and water resources are being impacted by the soil moisture. Soil moisture changes have also a role in evapotranspiration, rainfall, and the runoff distribution and intensities. (Zeng et al., 2023).
Soil moisture content (SMC) have a huge impact in shaping the water, carbon cycles of earth and energy balance in different scales of time and space. It is an important factor for the effective water management due to its influence on the precipitation, surface temperature and evaporation which will be affecting the processes say river runoff, vegetation health, and irrigation practices. The highcost traditional methods make to overlook for SMC in environmental modelling (Edokossi et al., 2020). The atmospheric and the land surface process are blinked by the key facto of SMC as said by Robinson et al. (2008). For gaining the knowledge on water, carbon cycles and energy as well as for studying extreme weather conditions, understanding soil moisture is very much needed. (Vereecken et al., 2014; Li et al., 2007; Seneviratne et al., 2010; Robock & Li, 2006).
Due to the soil moisture’s impact on the factors say when to plant, when to blossom and when to harvest the crop, soil moisture should be considered as the important factor as it is in improving the water resources and boost the agricultural output. Remote sensing methods like microwave remote sensing plays vital role in creating maps depicting the distribution of soil moisture spatially and temporally high resolutions. These maps help in effective crop planning, in-season drought assessment, irrigation and soil managements. The traditional methods like TDR probe, Soil moisture utilizing neutron probe and gravimetric methods are inefficient in studying the soil moisture with high spatial and temporal resolutions due to factors like Variations in terrain, soil type and land use pattern. We can overcome these and enhance our ability to map soil moisture in different scales through the recent advancements of microwave remote sensing (active and passive microwave remote sensing) which are having advantages like clear, accurate and timely measurements of soil moisture content.
Irrigation water sources are controlled through the soil moisture studies by executing the sustainable water management plans and by monitoring high yields despite the environmental changes, increasing water demands and climate changes. To predict the agricultural output, irrigation management, drought early warning, creating vegetation indices, soil moisture study with high temporal and spatial resolutions will be a key factor as it improves the crop stress reduction also which are the major driving forces of yield reduction (Doraiswamy et al., 2004). So, the soil moisture has a direct impact on the crop yield which are studied using variable rate technology say selective application of pesticides which can improve farmers financially as well as environmentally (Harris et al.,1964).

1. Introduction
Drought’ which apparently means lack of water, is one of most vulnerable natural hazards. It alone causes a huge crop loss annually. But history says it not only affects crop but destroys human lives.in the year 1972 almost 600000 people died due to starvation caused by huge drought in Northern India. In simple language drought means shortage of water mainly caused by abnormal climatic condition and damaging to the environment. Ideally there is no such proper definition of drought because it should be region specific and circumstances specific. A per McMahon and Diaz Arenas (1982) define drought as “a period of abnormally dry weather sufficiently prolonged for the lack of precipitation to cause a serious hydrological imbalance, carrying connotations of a moisture deficiency with respect to man’s usage of water”. Apart from these several general definitions have been provided by many authors. Beran and Rodier (1985) gave a definition based on hydrological aspect of drought that, ‘The chief characteristic of a drought is a decrease of water availability in a particular period and over a particular area’. India meteorological department (IMD) has defined drought as a situation in a subdivision in a year when the actual rainfall is less than 75% of the normal annual rainfall. Basically, to define drought the impact on environment and society and their complex interaction must be considered. Drought is defined as a state of total water capacity being within the range of 12-20% for a period of 16 days and can be distinguished from water deficit, which is the state of water capacity falling below 30%. Drought affects crop development, production, productivity and quality and on other hand soil physical, chemical and biological properties.
2. Classification of Drought
As per the hydrological point of view drought can be classified into different Categories: i) On the basis of source from which water is available: -a. Meteorological Drought b. Hydrological drought c. Agricultural Drought. ii) On the basis of time of occurrence: - a. permanent drought area b. Seasonal Drought Area contingent drought. iii) On the basis of medium: - a. soil drought atmospheric drought.

For millennia, humans have forged an intimate relationship with the natural world, recognizing and harnessing the therapeutic potential of plants for healing. This unit, “Introduction to Herbal Medicines,” embarks on a comprehensive exploration of plant-based therapies, delving into their historical evolution, fundamental terminology, integration within traditional healing systems, and the practical aspects of their cultivation, processing, and utilization. We aim to provide a solid bedrock of knowledge, enabling a deeper understanding of the science and practice of herbal medicine, and appreciating its enduring significance in the modern world."
1. History and Scope of Herbal Medicines
1.1 Ancient Beginnings: The Dawn of Plant-Based Healing
• Paleolithic Roots: Our most ancient ancestors, from the Paleolithic period, are believed to have harbored a refined comprehension of the pharmacological attributes of vegetation. Excavations have unearthed indications of specific plant utilization for addressing physical trauma and maladies, underscoring an early grasp of their remedial efficacy. This knowledge was likely passed down through oral traditions, forming the foundation of future herbal practices.
• Civilizational Emergence: With the rise of civilizations, medicinal plant use became more structured and recorded. In ancient Sumeria, clay tablets inscribed with cuneiform script, dating back to 3000 BC, record the use of various plants for medicinal purposes, showcasing organized knowledge of herbal remedies. The Egyptian Ebers Papyrus (c. 1550 BC), a remarkable medical text, provides detailed prescriptions for treating a wide array of ailments using plants like aloe vera, garlic, and opium, evidencing a sophisticated understanding of pharmacotherapy. In India, the ancient system of Ayurveda, with its foundational texts, the Charaka Samhita and Sushruta Samhita, meticulously documents the use of numerous medicinal plants, emphasizing a holistic approach to health. Similarly, Traditional Chinese Medicine (TCM), with the Shennong Bencao Jing (c. 1st century AD), provides a comprehensive pharmacopeia, demonstrating the profound integration of herbal remedies into Chinese medical practice.

1. Definition and Scope Pharmacognosy is the study of drugs and other economically valuable materials derived from natural sources, encompassing both plant and animal origins. This field examines a wide spectrum of aspects related to these materials, including their history, production, commerce, collection, selection, identification, valuation, preservation, and ultimately, their use. The term “pharmacognosy” was first formally used by C. A. Seydler in his 1815 dissertation, Analecta pharmacognostica. The word itself is derived from the Greek terms pharmakon, meaning drug or medicine, and gnosis, meaning knowledge. Thus, pharmacognosy literally translates to “knowledge of drugs.” It’s crucial to differentiate pharmacognosy from pharmacology due to their distinct areas of focus within the realm of drugs. Pharmacology, aptly defined as “a discourse on drugs,” centers on investigating the effects of drugs and other chemical substances on living systems, be it organs or entire organisms. In contrast, pharmacognosy directs its attention to the origins, identification, and inherent properties of natural products – often from plants, but also including other biological sources – that exhibit potential medicinal or economic significance. Pharmacognosy, by its very nature, is an interdisciplinary science, integrating knowledge from a variety of scientific domains. A strong foundation in botany is fundamental for the accurate identification and classification of medicinal plants. Chemistry is indispensable for elucidating the chemical constituents of these natural products and understanding their characteristics. Zoology provides insights into drugs and materials derived from the animal kingdom. Moreover, the principles of physics and genetics are applied to tackle diverse issues concerning the identity, purity, quality control, and effective preservation of these important natural resources.

1. Introduction Plants naturally contain compounds called phytochemicals. Due to their numerous therapeutic applications, these phytochemicals are becoming more and more well-known these days. Phytochemicals are essential in the fight against a variety of illnesses, including cancer, arthritis, and asthma. These phytochemicals have no side effects like pharmaceutical compounds do. Because the phytochemicals treat illnesses without harming people, they can also be referred to as “man-friendly medicines.” The primary topics of this study are phytochemical collection, extraction, and qualitative and quantitative analysis. In order to protect themselves against herbivores, many plants secrete chemical substances. Examples of therapeutic plants that include the main groups of pharmacologically active phytochemicals are provided below. Weeds that contain phytochemicals, like chickweed, dandelion, and nettle, are frequently found surrounding human settlements. Many phytochemicals, including curcumin, epigallocatechin gallate, genistein, and resveratrol are pan-assay interference compounds and are not useful in drug discovery.

1. Introduction
Pharmacognosy, formerly known as materia medica, is the study of unrefined medications derived from minerals, plants, and animals. Although C. A. Seydler coined the phrase in 1815, J. A. Schmidt used it in 1811 to refer to the study of medicinal plants and their characteristics. The word refers to the study or knowledge of medicines and is derived from the Latin terms gignoso, which means “to acquire knowledge of,” and pharmakon, which means “a drug.” Plants, animals, or their parts that have just been dried, sliced longitudinally or transversely, or infrequently peeled after collecting are considered crude pharmaceuticals. The majority of the basic drugs used in medicine are derived from plants, with only a minor portion coming from the animal and mineral kingdoms. Drugs made from plants are full plants, however cinchona bark, ginger rhizome, nux vomica seeds, and senna leaves and pods are plant components. Some medications, such as orange and lemon peels and colchicum corm, are used fresh, but the majority are dried after harvesting. Crude pharmaceuticals can also be obtained by straightforward physical processes like drying or water extraction. Aloe is the dried juice of Aloe species’ leaves, opium is the dried latex from poppy capsules, and black catechu is the dried aqueous extract from Acacia catechu’s wood. Plant exudates such as gums, resins, balsams, volatile oils, and fixed oils are also considered crude medicines. Additional drugs that physicians, surgeons, or pharmacists use directly or indirectly include diatomite for filtering gums or turbid liquids; cotton, silk, jute, and nylon for surgical dressings or kaolin; wax, gelatin, and agar for use as pharmaceutical auxiliaries of flavoring or sweetening agents; and drugs used as insecticides or vehicles. Animal medications can be extracts, like liver extracts, glandular products, such thyroid organs, or whole animals, like can-tharides. Similarly, goods that come from animals include fish liver oils, bee wax, musk, certain hormones, enzymes, and antitoxins. Drugs can be classified as either organized or disorganized. Organized medications come directly from plants and are composed of biological tissues. Unorganized pharmaceuticals are generated by physical intermediary procedures such as cutting, drying, or extraction with water, and although being derived from plants, they do not contain cellular tissue. Thus, unstructured medications include gums, resins, aloe, catechu, opium, and other plant exudates. Kaolin, chalk, diatomite, and other Ayurvedic bhasmas are examples of mineralbased medicines.

1.1 Weather Forecasting
Farmers have always been at the mercy of the weather, and accurate forecasting has become an essential tool for their decision-making process. Weather forecasts play a critical role in supporting farmers’ decision-making processes, from crop planning and management to harvest planning and economic decision-making. Crop planning and management is one of the key areas where weather forecasts are crucial. Farmers use weather forecasts to determine the best time to plant seeds, taking into account temperature, moisture, and sunlight requirements. This enables them to choose crops that are suitable for the predicted weather conditions. Additionally, forecasts help farmers optimize irrigation, reducing water waste and ensuring crops receive adequate moisture (Fig.1.1).
Weather forecasts also help farmers mitigate weather-related risks. Extreme weather events like floods, droughts, heat waves, and storms can have devastating effects on crops. Accurate forecasts enable farmers to prepare for and respond to these events, reducing crop damage and loss. For instance, forecasts help farmers take measures to protect crops from frost and freeze damage, which can be catastrophic for certain crops.

Agriculture is the backbone of human civilization, providing food, fiber, and livelihoods for billions of people around the world. Crop yields, which are a critical component of agricultural productivity, are influenced by a complex array of factors, including genetics, soil quality, water availability, and management practices. However, among these factors, weather and climate stand out as two of the most significant drivers of crop yields.
Weather and climate are intimately linked, with weather referring to short-term atmospheric conditions, such as temperature, precipitation, and wind, and climate describing the long-term average atmospheric conditions in a particular region. Together, they form a dynamic duo that shapes the fate of crops, influencing their growth, development, and productivity.
The impact of weather and climate on crop yields is multifaceted. Weather events, such as droughts, floods, and heat waves, can have devastating effects on crops, leading to reduced yields, lower quality produce, and even complete crop failures. Climate, on the other hand, influences the overall growing conditions, determining the suitability of a region for specific crops and the timing of planting, growth, and harvest.
Understanding the complex interplay between weather, climate, and crop yields is crucial for ensuring food security, improving agricultural productivity, and promoting sustainable farming practices. This chapter aims to explore the intricate relationships between weather, climate, and crop yields, examining the ways in which these factors interact and influence each other. By delving into the latest research and findings, this chapter will provide insights into the following key topics:
The impact of weather events, such as extreme temperatures, precipitation, and wind, on crop yields
• The influence of climate on crop growth, development, and productivity
• The role of climate change in altering weather patterns and crop yields
• Strategies for mitigating the negative impacts of weather and climate on crop yields, such as climate-smart agriculture and weather-based crop insurance

The scientific community has long relied on the expertise of trained researchers and professionals to advance our understanding of the world. However, with the increasing complexity of global challenges, such as climate change, biodiversity loss, environmental degradation, and public health concerns, it has become clear that a new approach is needed. The traditional model of scientific research, where experts work in isolation to collect and analyze data, is no longer sufficient to address the scale and urgency of these challenges. Citizen Science, which involves the active participation of the public in scientific research, has emerged as a powerful tool for addressing these challenges. By leveraging the collective efforts of citizens, researchers can tap into a vast pool of knowledge, skills, and perspectives, ultimately leading to more inclusive, equitable, and effective scientific inquiry. From monitoring water quality and tracking climate patterns to identifying species and analyzing satellite imagery, citizens are making meaningful contributions to scientific research (Fig. 3.1).
The benefits of Citizen Science are numerous. It provides opportunities for citizens to engage with scientific research, promoting a deeper understanding of the scientific process and its applications. It also enables researchers to collect data on a larger scale and in more diverse locations, leading to more comprehensive and accurate findings. Furthermore, Citizen Science has the potential to increase public trust in science, promote community engagement, and foster a sense of ownership and responsibility among citizens for environmental and societal issues.

The role of farmers in Citizen Science is a rapidly evolving field that holds tremendous promise for transforming the way we approach agricultural research and development. By leveraging the knowledge, expertise, and experiences of farmers, Citizen Science initiatives can help address some of the complex challenges facing agriculture today, from climate change and soil degradation to water scarcity and pest management.
One of the key benefits of involving farmers in Citizen Science is that it allows for the integration of local knowledge and expertise into the research process. Farmers have a deep understanding of their land, crops, and ecosystems, which can provide valuable insights into the complex relationships between agriculture, environment, and society. By tapping into this knowledge, researchers can develop more effective and sustainable solutions to agricultural challenges.
Another advantage of farmer-led Citizen Science is that it can help to increase the relevance and effectiveness of research. By involving farmers in the design and implementation of research projects, researchers can ensure that their work is addressing the real-world needs and concerns of agricultural communities. This can help to bridge the gap between research and practice, and ensure that scientific knowledge is translated into practical solutions that benefit farmers and their communities.
Furthermore, the involvement of farmers in Citizen Science can also help to promote greater equity and inclusivity in agricultural research. By providing opportunities for farmers to participate in research, Citizen Science initiatives can help to empower marginalized communities and promote social justice. This can be particularly important in developing countries, where smallholder farmers often lack access to resources, information, and decision-making power. In addition, farmer-led Citizen Science can also contribute to the development of more sustainable and environmentally-friendly agricultural practices. By working together with researchers and other stakeholders, farmers can help to identify and promote practices that reduce environmental degradation, conserve natural resources, and promote ecosystem services.
Overall, the role of farmers in Citizen Science has the potential to transform the way we approach agricultural research and development. By leveraging the knowledge, expertise, and experiences of farmers, we can develop more effective, sustainable, and equitable solutions to the complex challenges facing agriculture today.

Farmers’ data collection can be a valuable input for the development of agrometeorological advisories because it provides a unique perspective on the local weather and climate conditions that affect their crops and farming practices. Farmers have a deep understanding of the local environment and are often able to observe subtle changes in weather patterns and soil conditions that may not be captured by traditional meteorological instruments. By collecting data on weather patterns, soil moisture, crop growth, and other factors, farmers can provide valuable insights into the complex relationships between weather, climate, and agriculture. This data can be used to improve the accuracy and relevance of agrometeorological advisories, which are critical for helping farmers make informed decisions about planting, irrigation, pest management, and other aspects of crop management. By incorporating farmers’ data into the development of these advisories, researchers and policymakers can create more effective and targeted recommendations that take into account the specific needs and conditions of local farming communities. Furthermore, the collection of farmers’ data can also help to identify gaps in existing meteorological data and provide insights into the impacts of climate change on local agriculture. This information can be used to inform the development of more effective climate adaptation strategies and to support the creation of more resilient and sustainable agricultural systems.
In addition, the involvement of farmers in data collection can also help to build trust and promote the adoption of agrometeorological advisories. By working closely with farmers and incorporating their knowledge and expertise into the development of these advisories, researchers and policymakers can create more effective and sustainable solutions that meet the needs of local farming communities. Overall, the collection of farmers’ data can provide a valuable input for the development of agrometeorological advisories, helping to create more effective, targeted, and sustainable solutions that support the needs of local farming.
5.1 Low Cost Instrumentation
The use of low-cost instrumentation in agriculture is essential for enabling farmers to collect accurate and reliable data on various parameters that affect crop growth, soil health, and farm management. In many developing countries, smallholder farmers lack access to expensive and sophisticated equipment, making it difficult for them to make informed decisions about their farming practices

The agricultural sector is undergoing a significant transformation, driven by the increasing use of digital technologies, such as precision agriculture, drones, and satellite imaging. One of the key outcomes of this transformation is the generation of vast amounts of data, which can be used to inform decision-making, improve crop yields, and enhance the overall efficiency of agricultural operations. Farmers, researchers, and policymakers require effective tools and strategies for managing and analyzing these data to extract valuable insights and inform decision-making. This is where Farmers’ Data Base Management and Analysis comes into play (Fig.6.1).
6.1 Importance of Data Management and Analysis in Agriculture
6.1.1 Effective Data Management and Analysis are Critical in Agriculture, as they Enable
• Improved crop yields: Data analysis can help identify optimal planting dates, irrigation schedules, and fertilizer applications, leading to increased crop yields and better quality crops.

Crowdsourcing is a concept that involves obtaining information, ideas, or services from a large group of people, often through an online platform. This approach has become increasingly popular in recent years, particularly with the rise of social media, mobile devices, and other digital technologies. In the context of agriculture, crowdsourcing can be used to collect data on various aspects of farming, such as crop yields, soil conditions, and weather patterns. This data can be used to provide farmers with valuable insights and advice on best practices for farm management. One of the key benefits of crowdsourcing in agriculture is that it allows farmers to share knowledge and expertise with each other. By pooling their collective knowledge and experience, farmers can gain a better understanding of the challenges and opportunities facing their industry, and develop more effective strategies for overcoming them (Fig.7.1).
For example, a crowdsourcing platform might allow farmers to share data on crop yields and soil conditions. This data could then be used to create detailed maps of soil types and conditions, which could be used to provide farmers with advice on optimal planting and harvesting schedules.
Another example of crowdsourcing in agriculture is the use of mobile apps to collect data on weather patterns. By collecting data from a large number of

Extreme weather events, such as hurricanes, droughts, and floods, have become increasingly frequent and intense in recent years, posing significant threats to agricultural productivity, food security, and rural livelihoods. The impacts of extreme weather events can be devastating, resulting in crop failures, livestock deaths, and damage to infrastructure and property. Traditional approaches to dealing with extreme weather events have often focused on top-down, expertdriven solutions, where external experts provide advice and guidance to farmers and rural communities on how to prepare for and respond to extreme weather events. However, these approaches have often been criticized for being ineffective, unsustainable, and neglecting the needs and perspectives of local communities.
In recent years, there has been a growing recognition of the importance of interactive community approaches for dealing with extreme weather events. These approaches involve working closely with local communities to identify their needs, priorities, and capacities for dealing with extreme weather events. They also involve empowering local communities to take ownership of their own disaster risk reduction and management efforts, through the provision of training, resources, and support.
A critical component of these interactive community approaches is the development and implementation of Early Warning Systems (EWS). EWS are designed to provide timely and accurate warnings to communities about impending extreme weather events, allowing them to take necessary precautions to minimize losses and protect their lives and livelihoods (Fig.8.1).

Citizen science has emerged as a powerful tool for monitoring and managing pests and diseases in agriculture. The concept of citizen science involves the active participation of citizens in scientific research, often through collaborative efforts with professional scientists. In the context of agriculture, citizen science offers a unique opportunity for farmers, gardeners, and other stakeholders to contribute to the monitoring and management of pests and diseases. Traditionally, pest and disease monitoring and management in agriculture have relied heavily on professional scientists and extension agents. While these experts play a critical role in providing guidance and support to farmers, they often face limitations in terms of resources, capacity, and geographical reach. Citizen science offers a way to bridge these gaps by leveraging the collective knowledge, expertise, and observational power of citizens (Fig.9.1).
In agriculture, citizen science can be applied in various ways to support pest and disease monitoring and management. For example, farmers and gardeners can be trained to recognize and report pests and diseases, providing valuable data on the distribution, prevalence, and impact of these organisms. This information can be used to inform management decisions, such as the application of pesticides or other control measures. Citizen science can also be used to support the development of integrated pest management (IPM) strategies, which aim to minimize the use of chemical pesticides and other harmful practices. By engaging citizens in the

The world of agriculture is undergoing a significant transformation, driven by advances in technology, data analytics, and citizen science. Smart farming, also known as precision agriculture, has emerged as a key driver of this transformation, enabling farmers to optimize crop yields, reduce waste, and promote sustainable agricultural practices. However, the full potential of smart farming can only be realized by integrating it with citizen science and agrometeorological advisories. Citizen science, which involves the participation of citizens in scientific research, has the potential to revolutionize the way we approach agriculture. By engaging citizens in the collection and analysis of data on weather conditions, soil health, and crop health, we can create a more inclusive and effective agricultural system. Agrometeorological advisories, which provide weather-based agricultural advice to farmers, can also be enhanced through the integration of citizen science data (Fig.10.1).
This book chapter explores the potential of bridging the gap between citizen science, smart farming, and agrometeorological advisories. We examine the current state of these fields, highlighting the opportunities and challenges associated with their integration. We also discuss the role of technology, including mobile apps and online platforms, in facilitating this integration and enhancing the effectiveness

Introduction
Domestication is the process of adapting wild plant species for human cultivation and consumption and it has played a pivotal role in shaping modern agriculture. Since the dawn of civilization, humans have selectively bred plants to enhance desirable traits, such as increased yield, improved taste, and resistance to pests and environmental stresses. Through domestication, early agriculturalists inadvertently altered the genetic makeup of wild progenitors, favouring traits that aligned with their needs and preferences. This process involved selecting and propagating plants with desired characteristics over successive generations gradually transforming once-unruly wild species into more docile, productive and palatable varieties. The domestication of crop plants was a gradual and ongoing process, often spanning thousands of years. It required keen observation experimentation, and an inherent understanding of plant biology and genetics even before these concepts were formally understood. This patient and persistent effort by our ancestors paved the way for the development of diverse and nutritious food sources, enabling the establishment of sedentary communities and the rise of complex civilizations. While modern breeding techniques have advanced significantly, the fundamental principles of domestication remain a cornerstone of crop improvement efforts. By understanding the historical significance and underlying mechanisms of domestication, we can better appreciate the invaluable contributions of our ancestors and continue to build upon their legacy, ensuring a sustainable and diverse food supply for generations to come.
The current state of food systems is being challenged due to the heavy reliance on a limited number of resource-intensive staple crops. The emphasis on maximizing yield and the consequent reduction in diversity over the course of domestication history has led to the development of contemporary crops and agricultural practices that are environmentally unsustainable, susceptible to the impacts of climate change, lacking in essential nutrients, and contributing to social inequalities. For many years, researchers have advocated for diversification as a viable solution to tackle the issues surrounding global food security. In this context, we present a vision for a new phase of crop domestication, which aims to expand the range of crop diversity. This approach involves active engagement and benefits for three key components of domestication: a) the cultivated crops themselves, b) the surrounding ecosystems, and c) the human populations depending on these crops. We delve into the potential of current tools and technologies to initiate a revival of diversity within existing crops, enhance the value of underutilized crop varieties, and introduce new crops into cultivation. This multipronged strategy aims to reinforce genetic diversity, promote resilient agroecosystems, and establish a more varied and robust food system. The successful execution of this renewed phase of domestication hinges on a bold commitment from researchers, funders, and policymakers to invest in both fundamental and practical research efforts. As we navigate the challenges of the anthropocene epoch, characterized by significant human impact on the environment, the process of domestication offers a pathway to construct more diverse and adaptable food systems that can better serve humanity’s needs.

Introduction
Angiosperms produce attractive and intricately structured flowers, within which their reproductive process occurs. In flowering plants, as in other plant groups, a diploid spore-producing generation (sporophyte) alternates with a haploid gamete-producing generation (gametophyte). The flower contains specialized structures, such as the stamen (or androecium) and the pistil (or gynoecium), where the respective male and female gametophytes are formed. The pollen grain serves as the male gametophyte, while the embryo sac serves as the female gametophyte. These gametophytes are responsible for producing sperm and egg cells, respectively facilitating their union during fertilization. The pollen grain contains the male gametophyte in angiosperms or gymnosperms. Conversely, spores function as a resting and dispersal phase for cryptogams (Moore et al., 1991). The study of pollen grains (produced by seed plants, angiosperms and gymnosperms) and spores (produced by pteridophytes, bryophytes, algae and fungi) is known as palynology. This discipline examines the structure and formation of pollen grains and spores, their dispersal and their preservation under various environmental conditions. Palynology serves as a valuable research tool for understanding many aspects of plant and animal metabolism. Moreover, a deeper understanding of pollen can aid plant breeders in enhancing efforts to improve global food and fiber supplies. In the anthers of higher plants, neither the developing pollen nor the surrounding tissues exhibit autonomous growth and development. Instead, the developing anther functions as a system where the gametophytic and sporophytic generations of the plant communicate, coordinate and co-participate in development. This chapter aims to understand the various aspects of gene activity that occur during pollen development.

Introduction
Definition of heterosis
The word “heterosis” was coined by G.H. Shull in 1914 as a convenient abbreviation for awkward phrases like ‘stimulation of heterozygosis’. When two genetically diverse parents are crossed, the resulting F1 or hybrid progeny has superior performance over both of its parents which is known as heterosis. The F1 or hybrid has superiority in vigour, adaptability, stress tolerance, growth rate, population fitness, biological and economic yield. Luxuriance on the other hand is a more general term often confused with heterosis, used to describe plant’s overall healthy and abundant growth, regardless of its genetic background (Allard, 1960). Charles Darwin introduced the concept of hybrid vigour in 1876, a term closely related to heterosis. The exceptional hybrid vigour in the F1 generation stems from the theory of dominance and codominance, offering numerous advantageous characteristics, particularly economically significant ones.
Heterosis is confined to F1 or hybrid generation only. The F2 and subsequent generations do not show heterosis due to factors like recombination and segregation, which lead to shuffling of the genes and produce variety of new combinations, hence they are neither homogenous like F1 nor have hybrid vigour. One of the main characteristics of heterosis is that it is highly variable from crop to crop as well as from cross to cross. So, some of the crosses will exhibit higher heterosis than the other crosses. This is because heterosis is controlled by many factors which include the genetic diversity of parents, combining ability of parental lines, genetic background, additive, dominance, epistasis nature of gene imparting heterosis which will be dealt in detail in next sections of the book.
Heterosis, manifested in positive (yield, quality, disease resistance) or negative (plant height, maturity duration) aspects, is more prevalent in crosspollinated species than in self-pollinated ones. It can be fully exploited in hybrids or partially exploited in synthetic and composite varieties. The performance of hybrids relative to parents exhibits distinct features, as illustrated in Figure 1, including better-parent heterosis with optimal trait values surpassing either parent. Mid-parent heterosis exceeds the parental average but holds limited agronomic relevance. Phenotypes are broadly categorized as additive (similar to parental average) or non-additive, further subdivided into partially dominant, dominant, and over/under dominant. Factors influencing heterosis include genetic diversity, combining ability, genetic background, and the interplay of additive, dominance, and epistatic genetic factors, explored in detail in subsequent sections.

Introduction
Plant breeding, according to Sansern et al. (2010), is the process of genetically altering plants to meet human demands. Prehistoric humans in various parts of the world domesticated only a small number of the hundreds of thousands of species that were then available. They did this by genetically altering these species’ components, which entailed both conscious and unconscious selection as well as differential reproduction of variants (Allard, 1999). A relatively small number of plant species have evolved over many years of trial and error to become the backbone of agriculture and, consequently, the world’s food supply (Mackay, 2001). This method of domestication includes the identification of specific valuable wild species along with a system of selection that resulted in alterations in the quality and quantity of cultivated crops.The modifications brought about by domestication involved altered organ size and shape, loss of many survival traits, such as bitter or toxic substances, the disintegration of seeds in grains protective structures, such as spines and thorns, seed dormancy, and change in life span increased for crops grown for roots or tubers and decreased for crops grown for seed or fruit. The domestication process followed mostly by mass selection (selection by bulking preferred kinds) is a potent method for facilitating quick changes while preserving genetic variability in the population (Okporie and Obi 2002).
Populations can exist in constantly changing surroundings due to genetic variation. More variation increases the likelihood that certain individuals in a group will have allele variants that are appropriate for the environment. Those individuals have a higher chance of survival to have offspring which carry that allele. Because of their success, the population will endure for additional generations. Selecting the best parents to utilize in artificial crosses is one of the key concerns for plant breeders since it encourages the expression of the largest genetic variability and the production of superior recombinant genotypes. The objective of plant breeding is to simultaneously improve all the desired traits. This task is complicated by correlations between various traits, which may result from pleiotropic genes, physical chromosomal links between genes, or population genetic structure. Choosing one feature will alter associated qualities, sometimes in a positive or in a negative way. As a result, selection may result in unexpected modifications, provided they fall within the typical range of variations seen in the crop and are therefore thought to be useful to consumers or the environment. Breeding practices in the 20th century improved a variety of genetic techniques, including methods for identifying and preserving more genetic diversity, creating variable populations for selection, and testing how to differentiate between the effects of genes and the environment. Naturally self-pollinating plants like soybeans or tomatoes, naturally cross-pollinated plants like maize, and plants whose vegetative propagation (typically cross-pollinated) allowed the direct fixing of improved types, all required different precise steps in the production process (Ubi, 2013).

Introduction
It has been universally acknowledged that breeding for hybrids is the most effective conventional plant breeding technique. When two genetically distinct parent lines typically inbred lines are crossed, the resultant progeny is referred as a hybrid. It has been demonstrated that hybrids are larger, more productive, and hardier than their parental lineages. When we talk about hybrids, it is also imperative to understand two other related jargons: heterosis and hybrid vigour. The word “heterosis” was first coined in 1914 by Gottingen to refer the hybridization process in which two homozygous individuals (inbreds) are crossed to produce a hybrid. Darwin first used the phrase “hybrid vigour” in 1876 to denote the superiority of the F1 offspring produced by heterosis (i.e., the hybrids show superior performance with increased characteristics when compared with the two parental lines).
In general, the goal of plant breeding is to create better crop varieties by utilizing genetic variation found in the germplasm of the given plant species. Traditionally, two genetically different accessions of the given crop were selected and crossed to produce a hybrid. The genotype of this hybrid is the outcome of the fusion of the male and female gametes, those produced a zygote, from which the progeny eventually emerged. It would be appropriate to recollect the point that a plant’s life cycle consists of a gametophytic generation that produces gametes. Therefore, the genotypes of the gametophytes reflect the genetic diversity of the gametes.
Gametophytes are derived from spores, which are created via sporophytic reproduction during the course of the plant’s life cycle. Meiosis is a specialized kind of cell division that produces spores from differentiated cells that are located in the reproductive organs of plants. Two important processes (viz., recombination and chromosomal segregation) occur during meiosis and this results into independent assortment and creation of novel combinations of the genetic components of a diploid genome into a haploid genome of the gametophytes. Consequently, the genotype of a progeny is made up of the genotypes of the male and the female gametes that merged to create a new sporophyte. Therefore, meiosis can be viewed as a crucial stage in the life cycle of a plant and is responsible for generating genetic diversity. To generate desired plants with novel traits, this diversity or variability is frequently employed. In many cases, a hybrid plant outperforms a homozygous (parental) plant because it combines the best traits of the two parents. However, the creation of such hybrids is quite difficult. In order to evaluate the combining ability of hybrids, multiple putative parental lines are first produced at homozygous conditions by employing several generations of inbreeding and selection. The best pairs are then kept, and the corresponding parental lines produce a vigorous hybrid. Although hybrids were originally generated in maize during the 1930s, they are now employed in a wide variety of economically important plant species because they significantly surpass their parental inbreds. The main reason quoted for the wide-spread application of hybridization in breeding programs is because of the reason that hybrid seeds are easier and faster to growing homogenous plants

Introduction
The genetic diversity of crops has been subjected to considerable humandriven selection throughout time, in particular, is often limited by conventional plant breeding techniques. Under these conditions, crops with low yields and a high risk of disease and pest infestation may be produced. Thus, there’s a need to introduce a technique where solutions to all the problems can be addressed. CIS breeding opens us a wider range of opportunities for improving crops by enabling the deliberate incorporation of natural genetic differences from closely related plants. The word “CIS” in CIS breeding means “on the same side/same kingdom”. CIS breeding is an advanced method for genetic improvement in which genes from closely related plants are inserted into the desired crop. This method creates crop varieties that are greatly improved in terms of growth capacity, yield potential and pest and disease resistance. CIS breeding is a pioneering technology designed to integrate novel traits into established crop varieties without the introduction of foreign genetic material. Utilizing the similar gene combinations and the plant’s intrinsic genetic systems, it is a natural form of genetic improvement that improves traits including yield, drought resistance, disease resistance and nutritional qualities (Anjanppa and Gruissem, 2021). Comparing to conventional breeding where gene transfer can occur through random cross- breeding or mutagenesis and risk of unintended effects are high, in CIS breeding, one or few genes are transferred from related species as well as risk of unintended effects are also low. Some countries, regulate it as conventional breeding and other regulate it as GMO breeding.

Introduction
Current state of global warming and climate change affecting crops through altered pest and disease incidence patterns, changes in temperature and CO2 levels which adversely affected the crop production (Habib-ur-Rahman et al. 2022). This threat is particularly pronounced in food-insecure regions, especially in Asian countries. Climate change not only jeopardizes crop and livestock health but also impacts soil and water resources and livelihood of rural communities. Furthermore, it contributes to food insecurity by increasing prices and reducing overall food production. The complexity of these effects highlights the need for modern agricultural techniques to mitigate risks and ensure global food security (Habib-ur-Rahman et al. 2018).
Crop improvement, an integral facet of agricultural development, remains a cornerstone in addressing the burgeoning global food demands. Conventional plant breeding methods have played a pivotal role in developing improved crop varieties that exhibit enhanced quality, higher yields and resilience to biotic and abiotic stresses. However, plant breeding methods involving continuous selection and intermating among closely related individuals can result in a reduction of genetic diversity within a cultivated crop species. The narrow genetic base makes crops more vulnerable to emerging threats, such as new pests or diseases and limits their ability to cope with changing climatic conditions. In India, the Green Revolution along with substantial plant breeding activities, led to a significant increase in crop yields, particularly in staple crops like wheat, rice and maize. However, one of the major consequences of green revolution is the development of narrow genetic base in cultivated crop species (Begna 2021).
Moreover, the reliance on a narrow genetic base, a consequence of crossing only two parents, curtails the exploration of broader genetic diversity. This limitation restricts the potential for effectively combining and expressing desired traits in the resulting crop varieties. Most of conventional plant breeding techniques were primarily focused on monogenic traits, while many agronomically important traits are quantitative in nature, controlled by polygenes, and influenced by the environment. This poses challenges for breeders relying only on phenotypic selection. Notably, traits influenced by multiple genes, such as resistance to diseases or tolerance to environmental stresses, are particularly challenging to manipulate using traditional breeding methods.
Quantitative trait loci (QTLs) are genomic regions that influence polygenic traits, first described by Geldermann (1975). Identifying QTLs associated with improving yield and quality traits is pivotal for catalysing a new Green Revolution (Arrones et al. 2020; Pradhan et al. 2015). Marker-assisted selection (MAS), introgression breeding and QTL pyramiding offer efficient avenues for developing improved cultivars. However, identifying QTLs associated with quantitative traits remains a challenge for plant breeders (Arrones et al. 2020). The basic requirement for the detection of QTLs involves appropriate mapping population, marker systems, phenotyping methods and suitable experimental designs (Arrones et al. 2020; Collard et al. 2005)

Introduction
The increase in the world population coupled with climatic fluctuations such as drought, floods, and high temperatures poses a serious threat to food security (Ray et al., 2013). Many researchers have quoted the importance of enhancing the genetic gain of primary crops at a faster rate to meet global food demands (Lin et al., 2016). It remains a challenging task for plant breeders to evolve resilient varieties in a shorter period by employing conventional approaches. The slow progress in crop improvement is mainly attributed to long breeding cycles/generations (Samantara et al., 2022). To overcome the drawbacks involved in traditional methods and to safeguard food security, speed-breeding methods are now being adopted at large or small units to achieve rapid genetic gains in many crop species. The speed breeding techniques include the use of controlled environments with manipulation provisions for light duration, intensity and temperature. This approach is more advantageous for helping plant breeders hasten crop development in several major photosensitive crops (Singh and Janeja, 2021).
Breeding a new crop variety via a conventional approach requires the selection of complementary parental genotypes with desired traits, followed by crosses and a series of selections and advancements of superior progenies to release candidate cultivars that meet market demands (Shimelis and Laing, 2012). Notable breeding goals in crop cultivar development programs include increased yield potential and nutritional quality and enhanced tolerance to biotic and abiotic stresses (Breseghello and Coelho, 2013). In any crop improvement program, the following breeding procedures can be distinguished in the order presented: (a) selection of desirable parents with complementary traits to be combined; (b) crosses involving the selected parents and the development of progenies; (c) selection and genetic advancement of the best progenies based on target traits; (d) selection of the best progenies for screening in multiple target production environments to identify the best performing and stable candidate cultivars; and (e) cultivar registration and seed multiplication and distribution to growers (Shimelis and Laing, 2012). These conventional breeding procedures are used in most crop cultivar improvement

Organic Agriculture
Organic and biodynamic farming use natural methods to grow crops, avoiding inorganic fertilizers, pesticides, and other chemicals throughout the growth stages. This approach relies on natural biological systems, preserving their relationships and self-regulation, unlike conventional farming, which heavily depends on synthetic inputs. As a result, plant and animal varieties bred for intensive agriculture often do not align with organic principles. To unlock the full potential of organic farming, genetics of seeds should also be organic, ideally bred and grown exclusively in organic conditions to best suit these systems.
Organic plant breeding
Improving the genetic diversity of the crops and their adaptation to the future organic growing conditions and climate change need to be done through organic plant breeding. The choice of varieties for organic farming that are mostly derived from conventional bred varieties, sustainable use of natural input resources and at the dynamic equilibrium of the entire agro ecosystem are the main features. The organic breeding programs should match with the reproduction system of the respective crop. Seeds and vegetatively propagated crops are important resources for organic breeding. The Organic agriculture system relies on natural inputs and pesticide free and non GMO crops, vegetable and fruits aiming providing healthy food. In an overall manner, organic agriculture is the expression of underlying ecology, fairness and health. Organic agriculture is presently practiced in organically converted and managed land area equal to 2% of the cultivated area in India.
International Federations of Organic Agriculture Movement (IFOAM) (2015 and 2017): Organic agriculture is defined as a production system that sustains the soil health, ecosystem and people. It relies on ecological processes, bio diversity, and local conditions. Organic farming is part of organic agriculture and it is basically based on the underlying principles of health, fairness, ecology and care. The well-known characteristic of organic farming is, it produces food without the use of any synthetic fertilizer or pesticides and also without the use of GMO. Trends and perspectives in organic plant breeding are recognized as a highly collaborative and possess strong interrelationships.

Introduction
In recent years, there has been a growing interest in alternative nutritious food sources (McClements, 2020) and such group of foods that has gained significant attention is millets. Millets are a diverse group of small-seeded grasses that have been cultivated and consumed for thousands of years. They are rich in essential nutrients such as proteins, fibers, vitamins, and minerals, making them an important addition to a balanced diet. Millets are not only rich in essential nutrients but also have several health benefits. They are known to have nutraceutical properties, low glycemic index, making them suitable for individuals with diabetes. Additionally, millets are a good source of antioxidants, which can help in reducing the risk of chronic diseases such as heart disease and cancer. The diverse range of millet varieties also provides flexibility in incorporating them into various dishes, making them suitable for different culinary preferences and dietary requirements. Therefore, the usage of millets can play a crucial role in promoting sustainable and healthy eating habits.
Malnutrition continues to be a pressing issue worldwide, particularly in developing countries (Ashok et al., 2020). The lack of access to nutritious food is one of the main causes of malnutrition, leading to various health problems such as obesity, diabetes, cardiovascular diseases, cancer, and celiac disease (Birania et al., 2020). To address this issue, millets have emerged as a promising solution. Despite being nutritionally superior to other cereals, millets have traditionally been limited to consumption by the poor and those with conventional dietary practices. However, there is a growing recognition of the potential of millets in combating malnutrition and improving public health. Millets, such as finger millet, pearl millet, and sorghum, are often referred to as “superfoods” due to their high nutritional content (Singh et al., 2020). These grains are rich in protein, carbohydrates, fats, vitamins, minerals, and dietary fiber, making them an ideal source of essential nutrients (Ashok et al., 2020). Additionally, millets are easily available and costeffective, making them a viable option for addressing malnutrition on a larger scale (Birania et al., 2020). Furthermore, millets are resilient crops that can withstand environmental changes and water shortages, making them an ideal choice for sustainable agriculture. In this chapter, we delve deeper into specific aspects of millet nutrition, examining their micronutrient profiles, health benefits, culinary versatility, and potential applications in combating malnutrition and promoting sustainable agriculture. By understanding the nutritional richness of millets, we can uncover innovative solutions for improving human health and fostering agricultural resilience.

Introduction
World food security has become largely dependent only on a handful of crops like; wheat, rice, and corn which are the major cereals that support more than 50% of the global calorie demand. While these grains are an essential part of various diets, however they are devoid of essential micronutrients. As a result, it is estimated that micronutrient deficiency affects an estimated 2 billion people worldwide raising health concerns over our high dependence on cereal crops. As agriculture sector is considered as backbone of nation and therefore utilizing a handful of crops have placed the global food security at risk. In this context, Food and Agriculture Organization (FAO) has identified many plants as under-utilized, which can significantly contribute for improving nutrition and health, enhance food basket and livelihoods, future food security and sustainable development (FAOSTAT, 2023). These underutilized crops offer an immense potential in the functional food sector to combat hidden hunger crisis and offer the options of income generation.
Cereals such as rice, maize and wheat are monocots and belong to family Poaceae, however buckwheat, chia, quinoa and amaranthus although resembles with cereals are dicots and are categorized as Pseudocereals. These crops have been placed under the category of important crops by UNESCO due to dwindling cultivation and exploitation in the wild besides, these pseudocereals has gained a worldwide importance in the nutraceutical industry due to the rich nutritional profile compared to cereals and are considered as crops of the 21st century (Pirzadah et al., 2020). These are enriched with various active principals such as; polyphenols, flavonoids, amino acids, dietary fibre, lignans, vitamins, minerals, antioxidants, unsaturated fatty acids and other essential components like fagopyritols. The protein quality and quantity in pseudocereals is far better compared to cereals and this property qualifies their entry into the functional food industry (Rodriguez et al., 2020). Pseudocereals are rich in amino acids such as; arginine, tryptophan, lysine and histidine that proved essential for infant and child health thus, projected pseudocereals as an appropriate food supplement for child nutrition. The food production agro-systems must be adapted to climate change to ensure food security and stability. However, pseudocereals are climate resilient crops and can be grown even on marginal lands that are not fit for cereals thus, are considered as future crops to tackle mal-nutrition and future food crises. To explore these neglected or lost crops, there is an increasing interest in research and development that needs heightened direction and focus (Mabhaudhi et al., 2019). In this context, there is a need to adopt recent biotechnological interventions for the crop improvement and domestication of pseudocereal crops. This chapter focuses on nutritional profile of emerging pseudocereals viz., Buckwheat, Chia, Quinoa and Grain amaranth, phylogeny, genetic resources, breeding behavior and advanced breeding methods and their integration into the global food system

Nutritional significance of millets
Millets, nutrient-dense grains rich in proteins, vitamins, minerals, and dietary fibre, are emerging as vital components of a balanced diet, particularly in regions where they serve as staple foods. Their high content of essential amino acids, iron, calcium, zinc, and B vitamins makes them crucial for addressing micronutrient deficiencies (Hassan, 2021). As gluten-free grains, millets are suitable for individuals with celiac disease or gluten intolerance, broadening their dietary appeal. Additionally, millets are rich in health-beneficial phenolic compounds, making them suitable for food and feed. Finger millet, with its diverse phenolic profile, has higher antioxidant activity than pearl millet. These phytochemicals positively impact human health by lowering cholesterol and phytates. Incorporating millets into human and livestock diets can improve health, reduce disease risks, and ease the pressure on maize (Hassan, 2021).
Essential nutrients in millets
Millets are particularly rich in carbohydrates, providing a sustained energy source essential for daily activities. Unlike refined grains, millets have a low glycaemic index, releasing glucose slowly into the bloodstream. This characteristic helps manage blood sugar levels and prevents spikes, making millets an excellent food choice for individuals with diabetes. Numerous studies have demonstrated that regular millet consumption can offer a variety of health benefits. The high fiber content in millets supports digestion, prevents constipation, and promotes a healthy gut microbiome (Jacob, 2024) Consuming millets can lower the risk of chronic diseases such as cardiovascular disease, type 2 diabetes, and certain cancers. The antioxidants present in millets protect against oxidative stress and inflammation, which are key contributors to many health conditions. Furthermore, millets high fibre content and low glycaemic index promote feelings of fullness, regulate blood sugar levels, and help maintain a healthy body weight. Millets are ancient small grains grown in arid and semi-arid regions of the world, serving as staple foods for many people in Asia and Africa. Abundant sources of minerals and vitamins, they are often referred to as Nutri cereals. Millets contain valuable phytochemicals that provide therapeutic properties for various disorders and diseases, giving them nutraceutical value. (Mishra, 2022)
A wide array of biochemical compounds is present in the plant parts and grains. In the oldest texts of medicine in India and China, millets are noted for their medicinal value. Expanding interest and emerging facts highlight their therapeutic uses, with ample evidence showing that millet consumption aids in correcting lifestyle and metabolic disorders. The therapeutic properties of millets can be viewed in two ways: supplementary nutrition through minerals and vitamins, and therapeutic value through phytochemicals and specialty compounds like flavonoids, phenolics, and anthocyanidins that have antioxidant potential (Chellappan 2024). Millets are gluten-free, have a low glycaemic index, and their phytochemicals help correct lifestyle disorders and prevent ailments such as carcinogenesis. Supplementary benefits include the treatment of anaemia and

Introduction
A plant seed consists of an embryo and reserve food material (endosperm/ cotyledon) which is surrounded by a protective seed coat. The seed ensures that the next generation of plants exists. The embryo is made up of one or two cotyledons attached to a central axis. The upper part of the axis contains a plumule at its tip. The plumule grows into the shoot system. The lower part of the axis consists of the hypocotyl and a radicle. The radicle grows into the root system. The endosperm is the food reserve that the embryo uses during the early stages of germination. Before the embryo is able to produce its own food through photosynthesis, the endosperm provides vital nutrients to the embryo. Seed stands as an essential and fundamental agricultural input. It can be characterized as a propagative entity that facilitates the continuation of species from one generation to the next. Alternatively, it can be described as a mature fertilized ovule. Seeds play multifaceted roles for their parent plants, encompassing embryo nourishment, dispersion to novel locations, and entering a state of dormancy during adverse environmental circumstances. Seeds originate from various sources like self-pollination, cross-pollination, vegetative propagation, and mechanisms such as apomixis, resulting in diverse varieties or hybrids. Maintaining the genetic consistency of cross-pollinated seeds presents notable challenges. Certain fruit crops encounter obstacles in natural seed propagation due to factors like seed heterozygosity, diminished endosperm size, or minuscule seed dimensions. Additionally, some seedless fruits cannot be propagated conventionally through seeds. Seeds frequently become susceptible to seed-transmitted diseases, facilitating the transmission of diseases across different geographical areas. These constraints in seed-based propagation have spurred the exploration of alternative techniques for species proliferation. This exploration led to the emergence of the concept of synthetic seeds within the realm of plant tissue culture. Synthetic seeds are also known as synseeds or artificial seeds or somatic seeds, seed analog, or manufactured seed. The concept of synthetic seeds has been described in various manners by different researchers. Capuano et al., (1998) defined synthetic seeds as somatic embryos that are enclosed artificially, originating from shoot buds, cell aggregates, or any suitable plant tissue for sowing purposes. These synthetic seeds are capable of developing into plants under controlled in vitro or ex vitro conditions and can maintain this potential even after prolonged storage. Another definition of synthetic or artificial seeds comes from Gray and Purohit (1991) and Redenbaugh (1993), who refer to them as somatic embryos designed for use in the commercial propagation of plants.

Introduction
Vegetables are an essential diet component for human beings and nutritional security because of their short season, high yielding potential, nutritional capacity financial viability and potential to create on-farm and off-farm agricultural employment. India ranks as the world’s second-largest producer of fruits and vegetables. In India, vegetables and fruits accounts for about 92% of the total horticultural production. Daily diet consisting of vegetables is primary sources of proteins, vitamins, minerals, dietary fibers, micronutrients, antioxidants and phytochemicals. Additionally, vegetables have wide range of phyto-chemicals such as anti-carcinogenic factors and anti-oxidants constituents (e.g. flavonoids, glucosinolates and isothyocynates) (Silva Dias, 2019). In India an area of 11.35 million hectares is employed for the production of vegetables which is around 204.84 million metric tonnes (APEDA, 2023). Novel genotypes adaptable to various horticultural systems must be developed due to rapid climate change, customers demand and the resurgence and emergence of plant’s pest and diseases (Cardi et al., 2017). Plant tissue culture is emerging as a technology which has significant impact on agriculture sector by producing plants to meet out the growing global demand. It provides the huge potential areas currently offering a glimpse into the future. Apart from this, it has advanced significantly in the area of vegetable sector. Vegetable crops can be improved through efficient in vitro plant regeneration system of biotechnological approach consisting of meristem culture, haploid production and somatic hybridization (Kumari et al., 2020). Genetic engineering is a novel approach to produce improved crops varieties with greater yield potential and pest resistant. Genetic transformation plays an important role in genetic engineering process in order to improve genetics of crop plants. The world’s demand for nutritious and cheap food market have prompted the scientists to step up their efforts to genetically modify the economically significant plants. Traditional breeding methods have several limitations such as more time consuming to develop a plant with desired traits and sexual incompatibility barrier and these limitations can be overcome by adopting effective strategies for regeneration and transformation of valuable plants. Genetic engineering has shown to be an excellent method for improving vegetable crops under different adverse conditions (Gerszberg, 2018). Plant tissue culture and molecular biology are the technical foundations of genetic transformation technology, which is used to produce enhanced crop varieties, disease-free plants (virus-free), genetic transformation, secondary metabolite production, and varieties resistant to various biotic stresses such as diseases-pests, and abiotic stresses like high temperature, drought, and salinity (Hussain et al., 2012).

Introduction
The process of culturing plant cells, tissues, organs and protoplast on artificial media under controlled and aseptic circumstances is known as ‘Plant Tissue Culture’. It is predicated on the idea of “Cellular totipotency”, which describes a cell’s capacity to develop into a whole plant in the right cultural environment. This characteristic of cells has broad applications in the manipulation of plant cells to enable fast plant multiplication and the in-vitro regeneration of whole plants following the genetic transformation. Around a century ago, the idea of tissue culture was first put forth, to grow entire plants in vitro from somatic cells (Haberlandt, 1902). The tissue culture system has advanced with the identification of different concentration, ratios of auxin and cytokinin, which are critical for the regeneration of adventitious roots and shoots (Skoog and Miller, 1957). Appropriate explant, or plant organ removed, including cotyledons, leaves, roots, shoot apices, nodal segments, hypocotyls, anthers, embryos, and seeds. The explants are thoroughly cleaned with sterile double-distilled water, surface sterilized with a disinfectant such as sodium hypochlorite or mercuric chloride and aseptically cultured in an artificial medium in test tubes/ flasks, jars, and Petri dishes. Several factors influence a plant’s capacity to regenerate, such as the presence of a plant growth regulator (Gerdakaneh et al., 2020), the explant type (Dhar and Joshi, 2005) and the basic medium’s composition (Sundararajan et al., 2017).
The most widely used media include major elements, carbohydrates, growth regulators (auxins, cytokinins etc.), microelements, vitamins, amino acids and several media compositions have been created specifically for plant tissue culture (Atkinson et al. 2012). While 2,4-dichloro phenoxy acetic acid (2,4-D) at concentrations of 0.5-4.0 mg/L typically induces callus, or a homogeneous mass of undifferentiated cells, auxins at concentrations ranging from 0.1 to 5.0 mg/L, favour rooting by cell elongation. Similarly, cytokinin’s induce fast cell division and the growth of shoot buds/shoots. Agaragar, agarose, and GelriteTM are examples of chemically inert, powdered gelling agents added to the culture medium to solidify it before it is autoclaved. After the medium has been added to the culture containers, they are autoclaved. Explants in the culture vessels are injected under aseptic circumstances in a laminar air-flow cabinet equipped with high-efficiency particulate air (HEPA) filters (pore size 0.2–0.3 mm). Explants that are placed in the right growth medium under the right circumstances dedifferentiate, or mature cells that have increased DNA/ RNA and protein production return to their meristematic state. Regrowth in the agar-gelled medium results in an amorphous mass of cells known as ‘callus’. Suspension culture, a method of cultivating cells in a liquid medium, produces a suspension of individual cells. Every three to four weeks, the developing tissue must be sub-cultured onto a new medium because an increase in cells or calli causes the medium to run out. In the end, the organogenesis pathway is utilized to create ordered structures like roots, branches, flower buds, etc. from these cells and tissues. The synthesis, preservation, and application of