eChapters

Citrus is a major fruit crop grown all over the tropical and subtropical region of the world. Maximum citrus species are native of tropical and subtropical regions of South East Asia specially India, China in the area between these two countries. It is mainly cultivated in China, Brazil, India, USA, Mexico, Spain and Egypt in the world. China is the leading producer country in the world followed by Brazil, India and USA. India is the third largest citrus producer which has 4.8 per cent of the world’s total citrus production.

5.1 Introduction

A Crop Simulation Model is a mathematical model which describes crop growth and development processes as a function of environment, soil conditions, and crop management. Simulation model is a schematic representation which works on set of underlying assumptions, equations and algorithms, closely replicating the behaviour of the agricultural systems. A crop growth simulation model predicts the harvestable yield. Apart from this final state of crop production, the model also provides a host of quantitative information about major processes involved in the various stages of crop development. The information covers each component of the crop such as leaves, stems, roots and harvestable products as they change over time, including the changes in soil moisture and nutrient status.

An increase in the population, demands an increase in agricultural production with available resources. Efficient management of available resources under varying weather conditions is important for increasing agricultural productivity. Besides that, the emphasis of agricultural production changes from quantity to quality and sustainability (Aggarwal et al., 2000). Solution of these new challenges lies in understanding the interaction of the numerous elements affecting the plant growth and generating a crop growth model. This extremely complicated information needs to be processed and interpreted on a spatial scale. Information technology which has unleashed new frontiers in data analysis and automation is the driving force behind this model generation. These powerful computer programmes simulate the crop growth or yield of crops under various management regimes and provide near real time information to help farmers to make strategic decision in the management of their crops.

Storage : It can be defined as keeping the commodity fresh or processed in safe condition with minimum of deteriorative changes for later use.

Reasons of Deterioration During Storage

The International movement of seed takes place for (i) germplasm for R&D purposes, (ii) experimental lines and hybrids for screening purposes, (iii) basic seed for multiplication purposes, and (iv) commercial varieties and hybrids for marketing (Ranganathan, 2019). Vegetable seed import and export for research purposes is handled by National Bureau of Plant Genetic Resources (NBPGR), New Delhi where the importing research organization in India first gets an import permit from NBPGR following due procedures as available on NBPGR website (www.nbpgr.ernet.in). Once the importing research organization, like ICAR institutes, state agricultural universities, private seed companies, etc get the import permit which specifies the list of material to be imported and the seed source, the import permit is sent to the research seed supplying agency who in turn attaches a phytosanitary certificate along with the copy of the import permit to the consignment and sends the same to NBPGR. NBPGR retains part of seed and releases the seed to the indenter after necessary quarantine test and charging quarantine fee. The importing organization is expected to give a brief report about the material to the NBPGR after its evaluation at its farm/lab.

The bulk seed import (vegetable seed for commercial purposes) is handled by Directorate of Plant Protection, Quarantine and Storage, Faridabad, Haryana (www.ppqs.gov.in) with no condition of testing by government system. This exemption of testing is not available for field crop seed. It needs to be clarified that the bulk vegetable seed import has been simplified as per New Seed Policy-1988 which has put the vegetable seeds among others under OGL (open general license) and this provision facilitates the vegetable seed in bulk and the private seed companies have taken advantage of this provision. The Indian private seed companies are importing large quantities of seed of cauliflower, cabbage, broccoli, radish, carrot, beet root and even vegetable peas. The bulk vegetable seed import for commercial purposes is done as per following procedure.

Solanum melongena L. (2n = 2x = 24, family Solanaceae, often cross-pollinated) is known as eggplant in the United States and aubergine in France and England. It is one of the few cultivated solanaceous species originating from the Old World. It is known as brinjal in its home country, India, where it was domesticated long ago and where the greatest diversity exists. Widely grown in temperate and tropical Asian countries, eggplant has been also a common crop in the Middle East and around the Mediterranean basin and is now cultivated worldwide. Although an Old World taxon, S. melongena unexpectedly shares strong genetic similarities with New World Solanum species, namely, tomato and potato. These syntenic features have been discovered and will undoubtedly assist in an unlocking of the genes controlling eggplant key horticultural traits (Daunay, 2008).

As per FAOSTAT website-2018 quoted by Ministry of Agriculture and Farmers Welfare, Government of India, Horticulture Statistics Division (2018), the world production of eggplant was 51.29 million tons from 1.79 million ha with a productivity of 28.65 tons/ha during 2016. Top ten countries in eggplant production during this period were China, India, Egypt, Turkey, Spain, Iran, Indonesia, Italy, Japan, and Philippines. The bulk of eggplant production came from top ranking China (0.78 million ha area, 32.03 million tons production and 41.06 tons/ha productivity) followed by India (0.66 million ha area, 12.60 million tons production and 19.09 tons/ha productivity) occupying the second rank. Productivity-wise, Spain is top rank holder with productivity close to 65 tons. Leading brinjal producing states in India are West Bengal, Odisha, Gujarat, Bihar, Andhra Pradesh, Madhya Pradesh, Maharashtra, Chhattisgarh, Karnataka, Haryana, Jharkhand and Assam.

Preservation of food (fruits and vegetables) in common salt sand vinegar is called pickling. It is one of the most ancient method of preservation of fruits and vegetables. Pickling is the result of fermentation by Lactic acid forming bacteria which are found in large number on the surface of fruits and vegetables. They can grow in acidic medium and in the presence of 8-10 percent salt solution. The growth of majority of undesirable bacteria is inhibited. Lactic acid most active at 30 °C temperature. This temperature should be maintained during the process of pickling.

Preparation of pickles

Pickles are prepared with salt, vinegar and oil or combination of these ingredients. Spices are also used for pickle preparation.

This chapter is based on literature reviews on urban regeneration with the intention to record and appreciate the perception of urban regeneration as reflected by the experiences of regeneration attempts in Europe and the United States. Since India owes much of her urbanization characteristics of the contemporary era to the colonial days, a special focus is on the experiences of U.K. The chapter also deals with early civilization and understanding of Urbanism, Impact of industrial Revolution and discusses Cities of South Asia. This attempt acts as a window to view cities as centres of power and performance, the assets of a city are discussed and the declining factors observed, a view necessitated out of the exercise is to look at cities on their own merits, demerits and policies, the programme for renewing would stem out of these inherent qualities which make these cities stand apart. The third and concluding part discusses some of the successful efforts of regeneration in the West and specifies on the strategies drawn for regeneration as a product of declining factors, the capacity to withstand change and available resources.

6.1. Introduction

A river is a large natural waterway. The source of a river may be a lake, a spring, or a collection of small streams, known as headwaters. From their source, all rivers flow downhill, typically terminating in the ocean. The mouth, or lower end, of a river is known as its base level.

A river water is confined to a channel, made up of a stream bed between banks. Most rainfall on land passes through a river on its way to the ocean. Smaller side streams that join a river are tributaries. The scientific term for any flowing natural waterway is a stream; so in technical language, the term river is just a shorthand way to refer to a large stream. Rivers throughout history have been the source and support for civilization, and many major cities today are near a river of some sort (Fig. 6.1).

6.1.1 Topography

A river conducts water by constantly flowing from a higher to a lower elevation, thereby converting the potential energy of the water into kinetic energy. It starts to form loops and snakes through the plain by eroding the river banks. Sometimes the river will cut off a loop, shortening the channel and forming an oxbow lake from the cut off section. Rivers that carry large amounts of sediment may develop conspicuous deltas at their mouths, if conditions permit. Rivers, whose mouths are in saline tidal waters, may form estuaries. River mouths may also be rias.

4.1 Defining erosivity and erodibility

Rainfall erosion is the interaction of two items - the rain and the soil. The amount of erosion which occurs in any given circumstances will be influenced by both, and our study of the processes of soil erosion is simplified by considering the two aspects separately.

We know from observation that one storm can cause more erosion than another on the same land, and we also know that the same storm will cause more erosion on one field than on another. The effect of the rain is called erosivity and the effect of the soil is called erodibility. The way they differ is best explained by examples.

Let us imagine an experiment station which has over its whole area exactly the same soil type and slope. Assume also that the whole of the station is covered by a completely uniform crop. If the amount of erosion taking place during each storm were measured, the amount would be influenced only by the nature of the rain. Comparing the effect of one storm with that of another storm would provide a relative measure of the power of each storm to cause erosion, and that is what is meant by erosivity. This will enable us to say that on this imaginary experiment station, storm A caused a soil loss of X kilograms per hectare and storm B caused a soil loss of Y kilograms per hectare. If Y is half of X, then the erosivity of storm B is half of the erosivity of storm A.

11.1 The farmer’s point of view

In the last chapter possible conservation practices were reviewed in groups according to their purpose in terms of influencing runoff or soil loss. Now, looking at ways of limiting soil degradation by improved land husbandry, the primary consideration is to look at the alternatives from the farmer’s point of view. In fact we need to be very wary of manual-type recommendations. A better approach is to offer a menu of alternatives, and the role of the professional is to help the farmer choose what is appropriate for his or her circumstances. A recent review of technologies acceptable to resource-poor farmers points out that combining practices into a farming system must take account not only of the physical factors such as soil and climate, but equally the available resource inputs, especially cash and labour, and the farmer’s objectives (STOCKING 1993).

The objectives of a commercial farmer are usually to maximize yield and income, but the subsistence farmer is likely to be more interested in improving food security by reducing the risk of failure, or improving the return on inputs of seed, fertilizer and labour, or improving the quality of life by reducing drudgery, particularly relevant in the case of women farmers.

We need a new approach to the farmer when recommending changes to farming practice. Instead of recommending practices because they will reduce erosion, we should show how they can lead to increased production. For example, practices which lead to better soil structure, more organic matter, or more moisture-holding capacity should be put forward because they improve yield, not because they reduce the soil erodibility. Increasing infiltration from better ground cover or the use of contour farming or ridging can result in better crops as well as reducing soil loss. Improved crop management could include more use of fertilizer and manures or crop rotations. These practices will make more sense to the farmer if they are recommended as leading to better production, which he can instinctively appreciate as desirable, rather than because they will reduce soil erosion which is likely to be a less important objective.

Introduction

Food and nutraceuticals are obtained from various agricultural resources available in this planet. Many types of bio-active compounds are available in small quantities in the plants and animals which are evidenced to improve performance of various organs, increase in immunity and cure for some diseases. Last decade evidences several advancements in developing phytochemical formulations which can be used as a cure for many diseases as well as helps in boosting immunity in human being. Such materials exist in different form, structure and chemical compositions. Examples of such chemicals are phenolic and organosulphur compound (Pascall 2011). The vegetables, fruits and seeds are used without further processing. Some plants are subjected to cooking before its consumption. Many industries are carried out extraction of bioactive compounds and developed products in the form of tablets, powders and liquids which are available in the market. In order to make commercial process more economic and feasible, long term storage of plant residues (Raw materials) as well as the prevention of the extracts emerges as essential requirement for the industries. Moreover, the products requires suitable packaging solution to increase its self-life, preventing it from the influences of environment, and to make viable solution for easy access which makes it more user-friendly. Suitable packaging solution is required for mainly the three reasons: (i) prevention. (ii) protection and (iii) presentation. Prevention is required in-order to avoid deterioration of the packaged items due to microbial growth, loss in moisture and enzymatic action. Protection is required for the purpose of protecting the packaging materials from the contamination as well as from the environment impact and rough handling. Presentation is equally important to provide it an aesthetic look to make it more approachable to the consumers. Moreover, packaging also offers “labelling for easy identification, warnings, instructions, and nutritional information, ease of transportation” (Pascall 2013).

6.1 Introduction

Irrigation is the process of applying water to soil, primarily to meet the water requirement of plants. Irrigation is mostly done when rain water availability in the soil for plant is insufficient. Water from different sources like rivers, lakes, reservoirs or aquifers is pumped or flows by gravity through pipes, canals, ditches or even natural streams. Irrigating the fields enhances the quantity, quality and reliability of crop production. According to the Food and Agriculture Organization of the United Nations, irrigation contributes to about 40% of the world’s food production on 20% of the world’s cultivated land (Bjorneberg, 2013).

Though nearly 75% of the total area on the earth’s surface is occupied by water, 97.3% of the water is in oceans and seas, and only 2.47% is the fresh water. Water is a vital factor and natural resource for the growth of any living organism, and is a limiting factor for plant growth. Plants require water for their better growth and production. Where there is shortage of water, particularly during critical stages like fowering and fruiting, there can be drastic reduction in yield. Hence, the necessity of irrigation is to make up this deficiency of water.

Water is an essential component of all living things. Although once believed as a resource with a never-ending supply, it has now been understood that water is becoming increasingly scarce and therefore a proper management is necessary to keep a sustainable food production (Kannan & Anandhi, 2020). A continuous and safe supply of water is indispensable for the food industry where it has numerous applications along the agriculture and food production processes.

At present, food and nutrition security are the prime aspects which need to be addressed in an efficient way. It has been projected that by 2050 the global population will reach 9.2 billion which in turn enhances annual demand for agricultural products by 1.1 per cent from 2005 to 2050 (McKenzie and Williams 2015).

Executive summary

The ITK system had been developed by the indigenous communities based on their experiences, continuous improvement through informal experimentation and transfer of such knowledge to next generations. The tried and tested rich ITK pertaining to agriculture, livestock and other allied sectors had been interwoven with the socio-cultural and traditional practices followed by them. Since time immemorial indigenous communities had been applying ITK in animal husbandry to increase milk production, fertility, retention of placenta, breeding, prolapsed, care for the young stock and preparation of indigenous livestock products. ITKs are often adapted according to the local culture and traditions, needs, and environment; they are very dynamic and continuously changing, and lay emphasis on minimizing the risks rather than maximizing profits. Indigenous knowledge of livestock rearing is often “tacit” and not necessarily expressed in the conventional form of scientific documentation. The origin and evolution of indigenous technical knowledge (ITK) in India has been reported since time immemorial. Since then, the knowledge, belief, skills and practices pertaining to diagnosis, treatment and management of animal and human diseases are imprinted and carried to future generations. In the light of evolution, the practice has come to limelight as an alternative low cost solution to conventional western medicine and readily practiced by ordinary farmers. 

Introduction Millets are a group of annual grasses which are small seeded, hardy, drought tolerant, low maintenance and mainly found in semi-arid regions. The historic importance of millets can be derived from various types of traditional dishes which uses millets like roti and chapati flatbreads in India, uji (a type of porridge), injera (a fermented flatbread commonly eaten in Ethiopia) and beer in Africa, and kasha and fermented drinks in Eastern Europe. Millets are the 6th most important cereal grain in the world. India, China and Nigeria are the largest producers of millets, and the Research Institute for the Semi-Arid Tropics estimates that in Africa and Asia more than 90 million people depend on millets in their diets. There are hundreds of millet types, but the major types grown commercially are: proso millet, foxtail millet, pearl millet, Japanese barnyard millet and browntop millet. In this book chapter, we will mainly focus on two minor millets i.e., Teff and Fonio

Crops and trees can be protected from disease by applying pesticides at precisely scheduled intervals. It may only take a few grammes of the chemical to facilitate its distribution over the aerial parts of the plant, or to treat seeds or other propagating organs (tubers, bulbs, corns, etc.) or the soil in which plants will grow. Any chemical can be used in one of four different physical states: gas, solid, liquid, or solution. As a result, it is critical to employ the most efficient equipment to ensure a uniform deposit of the chemical on the target substrate with minimal material waste in the shortest amount of time and with the least amount of manpower.

An index number is a statistical measure designed to show changes in a variable or group of related variables with respect to time, geographical location or other characteristics like: income, profession, etc. A collection of index numbers for different years, months, locations, etc. is called an index series. Since index number are usually used to measure the level of business and economic activities over a period of time, so they are rightly called barometers of economic activities or simple called economic barometers. The various problems faced in the construction of an index number are to known the specific purpose of index number, selection of items, data for index numbers, choice of base periods, choice of an average, selection of weights and choice of a suitable formula.

Methods of Constructing Index Numbers

A number of formulae have been developed for constructing index numbers, which may be grouped into the following categories:

• Unweighted index numbers

• Weighted index numbers

• Unweighted index numbers: In this case, weights are not expressly assigned. 

1.0 Introduction

Kiwi or kiwifruit (Actinidia deliciosa) belongs to the Actinidiaceae family that is a fruiting vine originated from Yangtze Valley of China. Kiwifruit was named because it resembles a flightless bird, kiwi which is New Zealand’s national symbol. It is also referred as “New Zealand’s horticultural wonder”. In china kiwi was named as Yang Tao and also as “China’s miracle fruit”. Over the past century, kiwis have also acquired a variety of strange names, including “melonette”, “wood berry”, “strange fruit”, “monkey peach, “macaque pear”, “mihoutau”, “Chinese gooseberry” (Tyagi et al., 2015) “vine pear”, “sun peach” and the particularly enticing moniker “hairy bush fruit” (Hugh Cambbell and Julia Haggerty., 2008). Kiwifruit is a nutrient dense fruit which is exceptionally known for its flavour and vitamin C content (Guroo et al., 2017). Digestive potential, antioxidant property, healthy metabolism, immune function and protection from coronary artery disease are the therapeutic benefits of kiwi (Feruguson., 2003; Boeing et al., 2012; Singeltary., 2012). It reduces the risk against cancer (Puri and Manjula., 2018), arteriosclerosis, cardiovascular diseases and irritable bowel syndrome (Chang et al., 2012) as it is a rich source of ascorbic acid and polyphenols. Due to palatability, aromatic compounds present in kiwifruit attract many consumers. Unique flavour and aroma is increased due to the presence of aldehyde E-2-hexenal, methyl benzoate, ethyl butanoate and esters. China tops in kiwifruit production followed by Italy. Two biggest exporters of Kiwi in world are Italy and New Zealand (Testolin & Ferguson, 2009). Kiwifruit has excellent pharmacological profile and it helps in development of nutritional supplements for welfare of mankind. Farmers can earn high return per unit area as it bears heavily every year and has no crop failure. Thus, kiwifruit has bright prospects in our country.

2.1. Classification of Fish

Fish are incredibly diverse aquatic vertebrates. There are over 32,000 de scribed species of bony fish, over 1,100 species of cartilaginous fish, and over 100 hagfish and lampreys. Fish can be broadly classified into three groups:

2.1.1. Superclass Agnatha (Jawless fish): These are the most primitive fish, lacking jaws and paired fins. They have existed for over 500 million years. Examples include lampreys and hagfish.

2.1.2. Class Chondrichthyes (Cartilaginous fish): These fish have skeletons made of cartilage instead of bone. They have jaws and paired fins. Examples include sharks, skates, and rays.

2.1.3. Superclass Osteichthyes (Bony fish): This is the largest and most diverse group of fish. They have skeletons made of bone and have jaws and paired fins. Examples include tuna, salmon, goldfish, and many more.

The soil acidity and alkalinity are major driving forces in regard to the mobility of plant nutrients from soil to plants. The extreme acidity or alkalinity cause damage to the crops and thus yield is affected. Correction of soil acidity or alkalinity depend upon the pH of the soil and its previous management options. Application of fertilizer in soil may be one of the factors affecting soil conditions. Exchangeable and soluble iron and aluminium ions and their hydroxy ion species may contribute hydrolysis to release H+ ions to the soil solution. The soluble salts of carbonate and bicarbonates also develop salinity in soils.

7.0 Soil reactions

Soil reaction is an indication of the acidity or alkalinity of soil and is measured in pH . The pH scale ranges from 0 to 14 with pH 7 as the neutral point. When the amount of active hydrogen ions in the soil solution increases the soil pH decreases and thus becoming more acidic in reaction. One of the outstanding physiological characteristics of the soil solution is its reaction. Soil reaction can influence the physico-chemical properties of soil which can regulate the growth and activity of plant and soil organisms associated with it.

Introduction

Discovery of the antimicrobial agents in the early twentieth century was a breakthrough to safeguard the public health from the microbial infection. Propensity of these compounds to kill pathogens influenced the discovery of novel antimicrobials. However, since the 1970s, soon after the discovery of the fluoroquinolones, no major antibiotics have been introduced. The prevalent issue is largely attributed to the repercussions of antibiotic overuse or irresponsible utilization across diverse contexts, predominantly in clinical treatment, agricultural practices, animal healthcare, war crisis and the food system. Moreover, the accessibility and availability of antibiotics results in antimicrobial resistance (AMR). Nonprudent use of antibiotics accompanied by genetic plasticity allows microorganisms to adapt to the effect of antimicrobials causing a rapid surge of antimicrobial resistance. Extensive use of antimicrobials in animal husbandry is a major driver of AMR selection and the emergence of antimicrobial-resistant bacteria (ARBs) (World Health Organization, 2014).

Pre-cooling is an essential process in the post-harvest stage of perishable produce. It involves swiftly removing heat from freshly harvested fruits and vegetables, reducing quality loss and extending shelf life. The advantages of precooling are evident not only in the enhanced quality of the produce but also in the increased profitability for growers.
In addition to improving quality and shelf life, pre-cooling helps curb the growth of microorganisms. Lower temperatures effectively prevent the growth of both existing and potential microbes, aiding in the preservation of the produce.
Field heat, which refers to the temperature difference between the freshly harvested produce and its optimal storage temperature, highlights the importance of precooling. The method of precooling selected depends on the perishability of the produce and the refrigeration equipment available, emphasizing the need for a customized approach.
Many studies stress the importance of precooling for storing and transporting produce over long distances. In this context, the focus is not on whether to precool, but on how to choose and implement the most effective method. This underlines the critical role of precooling in maintaining the quality, shelf life, and marketability of harvested produce.
Precooling fruits and vegetables is a vital post-harvest procedure aimed at rapidly reducing the produce’s temperature to slow down metabolic processes and prolong freshness. The ideal precooling temperature varies based on the type and maturity of the produce but is typically lower than the surrounding temperature. Various methods such as hydro-cooling, vacuum cooling, and forced-air cooling can be used for precooling. Properly understanding and applying these techniques is key to preserving the quality and freshness of fruits and vegetables from the farm to the consumer.

The operation and maintenance of dehusking, dehulling, degerming, and drying equipment are crucial in ensuring the efficiency and longevity of these machines in grain and seed processing industries. These machines play a vital role in removing husks, hulls, and germs from grains, as well as reducing moisture content to enhance storage stability. Proper handling and regular maintenance not only improve performance but also reduce downtime and operational costs.
Dehuskers are used to remove the outer husk from grains like paddy and millet. Their efficiency depends on factors such as roller pressure, feed rate, and machine alignment. Routine maintenance involves checking for wear and tear on rollers, adjusting pressure settings, and ensuring that all moving parts are well-lubricated. Similarly, dehullers remove the outer shell of seeds and grains, requiring careful calibration to avoid excessive grain breakage. Blade sharpness, motor performance, and sieve integrity should be regularly inspected to ensure optimal functioning.
Degermers are employed to separate the germ from the endosperm in grains like maize. This process enhances the shelf life of processed products and improves their quality. Regular maintenance of degermers involves inspecting the abrasion plates, checking the feed rate, and ensuring that airflow mechanisms are clear of obstructions. Any malfunction can lead to uneven separation, affecting the final product quality.

The operation and maintenance of dehusking, dehulling, degerming, and drying equipment are crucial in ensuring the efficiency and longevity of these machines in grain and seed processing industries. These machines play a vital role in removing husks, hulls, and germs from grains, as well as reducing moisture content to enhance storage stability. Proper handling and regular maintenance not only improve performance but also reduce downtime and operational costs. Dehuskers are used to remove the outer husk from grains like paddy and millet. Their efficiency depends on factors such as roller pressure, feed rate, and machine alignment. Routine maintenance involves checking for wear and tear on rollers, adjusting pressure settings, and ensuring that all moving parts are well-lubricated. Similarly, dehullers remove the outer shell of seeds and grains, requiring careful calibration to avoid excessive grain breakage. Blade sharpness, motor performance, and sieve integrity should be regularly inspected to ensure optimal functioning. Degermers are employed to separate the germ from the endosperm in grains like maize. This process enhances the shelf life of processed products and improves their quality. Regular maintenance of degermers involves inspecting the abrasion plates, checking the feed rate, and ensuring that airflow mechanisms are clear of obstructions. Any malfunction can lead to uneven separation, affecting the final product quality. Dryers are essential in reducing the moisture content of grains to prevent microbial growth and spoilage. They require proper temperature control, uniform airflow, and regular cleaning of heat exchangers and drying chambers. Overheating or under-drying can compromise the grain quality and lead to storage losses. Timely inspections of sensors, air ducts, and burner efficiency help maintain effective drying operations. A well-planned operation and maintenance routine ensures these machines function optimally, increasing productivity and product quality while reducing energy consumption and repair costs.

Workflow Optimization is the process of improving the way work is done by making it faster, more efficient, and more organized. In every organization, work is completed through a series of steps. These steps together form a workflow. If the workflow is not properly organized, it can lead to delays, errors, confusion, and increased costs. Workflow optimization helps in improving these processes so that work can be completed in less time, with fewer errors, and with better results. In the modern digital world, workflow optimization has become very important because organizations are handling large amounts of data and complex tasks. With the help of AI tools and automation software, workflows can be optimized and automated. Workflow optimization

Healthcare organizations require collaborative learning methods that protect sensitive patient information. This chapter introduces federated learning as a framework for training models across decentralized institutions without transferring raw clinical data. Horizontal, vertical and hybrid federated architectures are examined alongside communication protocols, threat models and security requirements. Privacy-enhancing methods—including differential privacy, secure aggregation, cryptographic techniques and trusted execution environments—are discussed. Applications in medical imaging, electronic health-record analysis, wearable devices and remote patient monitoring demonstrate the framework’s practical value. The chapter also evaluates accuracy, privacy, communication cost, scalability and robustness while addressing data heterogeneity, fairness, explainability, legal compliance and ethical challenges in collaborative healthcare analytics.

Climate change is altering insect-pest development, reproduction, feeding, survival, distribution, host preference and interactions with natural enemies. These shifts may make conventional control measures and existing integrated pest-management programmes less reliable. Climate-resilient IPM must therefore combine continuous pest surveillance, forecasting, biological control, resistant cultivars, cultural practices, habitat management and the careful use of pesticides. Management decisions should account for changing pest phenology, emerging invasive species and regional climate risks. This chapter examines how climate change affects established IPM components and proposes adaptive, knowledge-based approaches for sustainable pest suppression, reduced pesticide dependence, ecosystem protection and long-term food security.

Quality management in apparel production requires an integrated approach covering every stage from material sourcing to final inspection. Important areas include fabric inspection, spreading, cutting, in-process monitoring, finishing and evaluation of completed products. The chapter explains the Acceptance Quality Limit system through practical examples and introduces Statistical Process Control for monitoring manufacturing performance. It aims to help students, practitioners and researchers understand the multiple dimensions of apparel quality and apply appropriate inspection systems. Checklists, performance indicators and corrective measures support continual improvement. Because perceptions of quality depend on value, expected performance and durability, manufacturers must translate customer expectations into measurable specifications and consistently controlled production processes.

Reliable artificial intelligence depends on accurate, timely and multidimensional livestock data. This chapter examines the transition from manual record-keeping to sensor-based systems that capture physiological, behavioural, production and environmental information. Data sources include wearable devices, IoT monitoring networks, computer-vision systems and environmental sensors. Their applications include monitoring health, welfare, movement, feeding and productivity. The chapter also considers the integration of heterogeneous datasets and persistent challenges involving missing values, noise, interoperability, scalability and system reliability. By connecting data generation with intelligent analysis, it emphasizes that robust acquisition protocols and dependable infrastructure are essential for developing effective, evidence-based and responsive livestock-management systems.

Cloud computing and Edge AI provide complementary infrastructure for intelligent livestock management. Cloud platforms offer scalable storage, centralized analytics, model training and integration of data from sensors, cameras, automated feeders and farm-information systems. Edge AI processes information close to the farm, reducing latency, bandwidth consumption and response time. This chapter explains their architectures, workflows and applications in dairy, poultry, swine and small-ruminant production. Uses include disease detection, estrus prediction, behavioural monitoring, feeding and environmental control. Hybrid cloud-edge systems balance centralized intelligence with local autonomy. Challenges involving connectivity, interoperability, cybersecurity, cost, model reliability and ethical animal surveillance are also critically examined.

Computer vision provides an important foundation for automated plant analysis, monitoring and precision agriculture. This chapter explores computer vision approaches for plant phenotyping, disease detection, growth monitoring and yield prediction. Traditional image-processing methods are considered alongside machine learning and modern deep learning techniques, including convolutional neural networks and vision transformers. Image segmentation, object detection and classification are used to extract meaningful information from plant images and video data. The chapter also examines multispectral and hyperspectral imaging, IoT integration and real-time monitoring. Environmental variability, dataset quality, computational complexity and model generalization are discussed, together with transfer learning, data augmentation, edge computing and future directions

Precision agriculture uses spatially and temporally variable information to improve crop management, resource efficiency and agricultural productivity. This chapter examines the integration of artificial intelligence throughout the precision agriculture workflow. It introduces variable-rate technologies, georeferenced data collection and decision-support systems, followed by machine learning, deep learning, computer vision, reinforcement learning, fuzzy logic and expert systems. Applications include crop yield prediction, plant disease monitoring, soil property estimation, irrigation planning and autonomous agricultural operations. Remote sensing, satellite imagery, IoT sensor networks and edge computing are considered for real-time decision-making. The chapter also discusses agricultural robots and autonomous machinery, practical field applications, data limitations, hardware costs, connectivity and model interpretability.

Remote sensing provides large-scale information about crops and agricultural environments through satellite, aerial and other sensing technologies. This chapter examines the integration of remote sensing and artificial intelligence for crop monitoring and yield prediction. It introduces the fundamentals of agricultural remote sensing, important sensors and data types, vegetation indices and crop health assessment. Data acquisition and preprocessing are followed by applications of AI models for monitoring crop conditions and predicting yields. Remote sensing datasets can be combined with machine learning and other AI techniques to identify patterns associated with crop performance. The chapter also discusses case studies, limitations, emerging technologies and future research opportunities in intelligent crop monitoring and yield forecasting

Early identification of crop diseases enables timely management interventions and can reduce losses in agricultural production. This chapter investigates the use of artificial intelligence and sensor data for detecting crop diseases at an early stage. It introduces the fundamentals of crop disease detection and reviews AI techniques applicable to agricultural monitoring. Sensor technologies provide continuous information about crop and environmental conditions, while AI models analyze these data to identify disease-related patterns. The chapter presents an AI- and sensor-based framework, including implementation and experimental procedures, followed by performance analysis. Challenges and limitations are examined, together with future research directions aimed at improving accuracy, reliability and real-time disease monitoring.

Bipolar plates (BPPs) are essential components of proton exchange membrane fuel cells, performing functions related to gas distribution, current collection, thermal management, water management, and cell separation. This chapter examines conventional and advanced materials used for BPPs, with particular emphasis on nanoparticle-enhanced composite systems. The incorporation of nanoparticles can improve electrical and thermal conductivity while reducing weight and supporting environmental sustainability. Materials, synthesis and fabrication techniques, and additive manufacturing approaches are discussed. The chapter also considers cost and scalability because these factors influence the wider commercialization of fuel-cell technologies. Nanoparticle-reinforced composites are presented as promising lightweight alternatives for sustainable energy applications.

Mechanism of Bioinputs explains the biological processes through which beneficial microorganisms and other bioinputs influence plants, pathogens, and agricultural ecosystems. The chapter examines direct and indirect plant-growth-promoting mechanisms of rhizobacteria, mycorrhizal fungi, endophytes, and biocontrol microbes. It also covers entomopathogenic bacteria, fungi, nematodes, viruses, and the modes of action of microbial and botanical biopesticides, predators, parasitoids, and semiochemicals. Environmental factors, microbial variability, pathogen interactions, and relationships with other organisms are considered as influences on biocontrol performance. The chapter therefore connects biological mechanisms with practical application, helping readers understand why particular bioinputs work under specific agricultural conditions. across varied farming conditions.

The use of sampling in making decisions about an aggregate (or population) is possibly as old as civilization itself. Sampling is first broadly classified into two categories known as subjective and objective. Any type of sampling which depends upon the personal judgement or discretion of the sampler himself, is called subjective sampling. But the sampling method which is governed by a sampling rule or is independent of the sampler’s own judgement is known as objective sampling. The main difficulty with subjective sampling is that the sampler is ignorant of the degree of representativeness of his sample or the accuracy of the final estimates of the population values obtained.

Objective sampling is further subdivided as non-probabilistic, probabilistic and mixed. In non-probabilistic objective sampling, there is a fixed sampling rule but there is no selection probability attached to the sampling unit e.g. selection of every 10th individual from a list, starting with the first, or selecting every 10th line in a paddy field. If however, the selection of the first individual is made in such a manner that each of the first 10 gets an equal chance of being selected, it becomes a case of mixed sampling, partly probabilistic and partly non-probabilistic). On the other hand, if for each individual unit there is a definite pre-assigned probability of being selected, the sampling is said to be probabilistic sampling.

3.1 Introduction
Out of all methods of sampling, the most commonly used procedure in surveys is the stratified random sampling. When population units are of heterogeneous nature and if we select a sample using SRSWOR scheme then the sample selected may not be the representative sample and the estimate worked out from that sample will not be the reliable estimate of the population parameter. The estimate of sampling variance of the sample estimator obtained from that sampling scheme may happen to be very high leading to get a less precise estimate of the parameter. In such type of population, to overcome these draw backs, we use another sampling scheme known as stratified random sampling which is defined as follows.

8.1 Introduction
We have already discussed in details how different sampling schemes can be employed to draw the representative samples suitable to many kinds of population whose sampling units differ in nature. From practical view points, however, it is often more important to be able to make decision about certain unknown characteristics of the population on the basis of informations available in the representative samples which are drawn from the parent populations. Such decisions taken, are known as the “Statistical decisions”. For example, we may wish to decide on the basis of sample data whether (i) One educational system is better than the other or not, (ii) A given six faced die is unbiased (balanced) or not, (iii) A new insecticide is really effective to control the attack of insects or not? etc. Such problems are dealt with in the theory of statistical decisions which uses the principles of sampling theory.

Introduction

Nutritional value of food stuff is defined by its ability to provide nutrients required by the body. Proteins, carbohydrates, fats, minerals and vitamins are main ingredients in food stuffs. Wheat is an important source of these nutrients. The distribution of nutrients within wheat kernel is typical of many cereals. Nutrients are generally found in the highest concentrations in the germ or embryo and in the aleurone cells surrounding the starchy endosperm followed by bran, whole wheat flour and white flour in decreasing order. Of special importance is that it contains the entire B complex, except for vitamin B12. B vitamins function as cofactors in many metabolic reactions involved in the release of energy. The germ, which includes the scutellum, is especially rich in vitamins B and E, high quality protein, unsaturated fats, minerals, and carbohydrates. The bran consists mostly of the insoluble carbohydrate cellulose, and contains incomplete protein, traces of B vitamins, and minerals including zinc and iron. The endosperm is the largest part of the grain, and consists mostly of the carbohydrate starch, incomplete protein, and trace amounts of vitamins and minerals. Significant variations in the content of grains occur because of variety, crop year, area, fertilizer, and soil type.

INTRODUCTION

Total forest cover in India is 70.17 million ha or 21.34% of the total geographical area according to the State of Forest Report 2015. Of this, 8.59 million ha (2.61%) is very dense forest, 31.54 million ha (9.59%) is moderately dense and rest of 30.04 million ha (9.14%) is open. The trees outside forest (TOF) are estimated to cover 9.26 million ha area which constitutes about 2.82% of the total geographical area of the country.  Thus the total forest and tree cover of the country is 24.16% of the total geographical area. The estimates of total growing stock of forest and TOF are 4.195 billion m3 and 1.573 billion m3, respectively. The total growing stock of wood in the county is estimated to be at 5.678 billion m3 which implies an average growing stock of 72.63 m3 ha-1 in 79.42 million ha of forest and tree cover (FSI 2016).

Abstract

Plant Bioinformatics is a new and rapidly evolving field driven by the advances in ‘Omics’ technologies. This chapter is intended to help both beginners and experienced researchers to develop and apply bioinformatics tools to specific areas of plant genomics research. This chapter will also help plant biologists to access and implement comparative genomics studies of the plant genes of interest. Also discussed are the databases which house the data on plant genes and genomes. The chapter ends with a review of basic Perl Programming for sequence motif analysis beneficial for plant biologists.

Introduction

Ever since the discovery of DNA structure, the field of plant genomics has experienced a dramatic change in the ways scientific problems are approached. With the recent advances in High Throughput analysis clubbed with methods like Physical mapping of genes, RFLP, RAPD, large scale EST sequencing and mRNA protein profiling, there is an enormous amount of biological data available for various analysis. As the amount of data grows tremendously, there is a demand for developing tools and methods to effectively access these assembled data for analysis, modeling, visualization and prediction. In this chapter, we emphasize on some of the key concepts in bioinformatics, tools and databases relevant to plant genomics.

Abstract

Microorganisms constituting the major fraction of the total biomass, are the main source of biodiversity in our planet and play an essential role in maintaining biogeochemical processes, which ultimately regulate the functioning of the Biosphere. Molecular ecological studies of microbial communities revealed that only a small fraction of total microbes in nature have been identified and characterized so far, since the majority of them are recalcitrant to cultivation. The emergence of ‘metagenomics’ have paved ways to the analysis and understanding of the genetic diversity, population structure, and ecology of complex microbial assemblages through culture – independent genomics-based approaches. The concept, metagenome, represents the total microbial genome in natural ecosystem consisting of genomes from both culturable microorganisms and viable but nonculturable bacteria. The construction and screening of metagenomic libraries in culturable bacteria constitute a valuable resource for obtaining novel microbial genes and products. Several novel enzymes and antibiotics have been identified through the metagenomic approach from many different microbial communities. This technology in the near future will provide breakthrough advances in the field of medicine, agriculture, energy production and bioremediation. This paper looks in to the various steps involved in metagenomic studies and how its potential can be utilized in the various aspects of agriculture to improve crop production and protection. The importance and role of bioinformatics in deciphering metagenomic data are also looked into.

3.1 Introduction

Water used for irrigation can be stored mainly in three sources i.e. soil reservoir, surface reservoir or groundwater reservoir. Accordingly the storage system can be defined as soil reservoir storage system, surface reservoir storage system or groundwater storage system. Each of these storage systems has its own merit and demerit. Some of the storage systems though economical but are not helpful to store the irrigation water for longer periods. On the other hand, some other storage systems are very costly, but the irrigation water can be stored there for a longer period. However, before adopting a particular storage system, economics of the system need to be calculated. The cost of installation of the system and the water stored in the storage system and its use as supplemental irrigation to the crops to increase the production in terms of monetary benefit need to be assessed and then the economics of the system should be computed. The storage system that gives maximum benefit-cost ratio and net present value should be adopted for storage of irrigation water. The different types of storage systems are discussed below.

Introduction

Plant products have been used for centuries by humans as food and to treat ailments. Natural medicinal products originating from herbs and spices have also been used as feed additives for farm animals in ancient cultures for the same length of time. Keeping farm animals healthy is necessary to obtain healthy animal products. The main scope in animal husbandry is to ensure good performance of farm animals and get quality animal products, which can be achieved only with the effort to keep the animals healthy. Only quality feed together with proper hygiene, potable water and management can ensure the production of nutritious animal products with desired organoleptic properties (Saxena, 2008). A ban of antibiotics as feed additives in animal nutrition is realized since 1986 in Sweden and later on to various countries. A general ban is foreseen in some years from now, because of the increased occurrence of pathogens resistant against therapeutical antibiotics used in animals and humans. With the restricted use or ban of dietary antimicrobial agents we must explore new ways to improve and protect the health status of farm animals, to guarantee animal performance and to increase nutrient availability (Wenk, 2003). In this aspect, herbs and spices are not just appetite and digestion stimulants, but can, with impact on other physiological functions, help to ensure good health and welfare of the animals, what can positively affect their performance.

Introduction

Mycotoxins are substances produced by fungal infections which in some cases do protect plants or plant seeds against parasites (Schardl et al., 1996). However, upon ingestion, inhalation or dermal contact, these mold producing substances are poisonous to vertebrates. Even with more than 100,000 species of fungi known, only some of them are active mycotoxin producers. The fungi species which are known to produce the most hazardous mycotoxins in agriculture and in animal production are Fusarium, Aspergillus and Pencillium spp. Mycotoxins vary greatly regarding their toxicological effects as they do not belong to a single class of chemical compounds (Jewers, 1987). The environmental conditions in which they are preferably produced also differ. Fusarium toxins, such as trichothecenes, Zearalenone and fumonisins are commonly produced on the field, whereas aflatoxins and ochratoxins are produced by Aspergillus and Penicillium spp. mainly after harvest and during poor storage conditions.

Introduction

Food security is an agricultural issue that has political connotations in the world and more strikingly so in the developing world, where systems of governance has assumed and lost power on this issue. Agriculture not only contributes to the overall growth of the economy but also provides a vital livelihood base, employment and food security to the majority of the country’s population. Recent food price hikes have drawn the attention of the world’s policy-makers and news media to food security which triggered a wide variety of policy responses throughout the world. It threatens the food crisis and livelihood of millions of peoples suffering from hunger and poverty.

Introduction

The concept and impetus for IPM grew out of the discontent with using a purely insecticidal approach to insect control in many areas in the mid of twentieth century. Excessive use of pesticide and growing needs of people has triggered several consequences such as resistance and resurgence of pests, destruction and elimination of natural enemies, effect on non target organisms, environmental pollution, disruption in food cycle and food web and residues in food commodities and pesticide poisoning. Less knowledge about biocontrolagents/natural enemies and their non-availability at right time is the key hurdles for farming communities to adopt the IPM practices on their farm. However, pesticides are still a significant component of many control programs and their negative environmental and health impacts have stimulated the research to develop alternate pest management strategies, such as biological control (BC) and other compatible, safe and sound control practices. Some remarkable early successes for both the control of insect pests and weeds (e.g. the cottony cushion scale Icerya purchase (Maskell) by the vedalia beetle Rodolia cardinalis (Mulsant) in California; the prickly pear cactus Opuntia stricta (Haw.) by the moth Catoblastis cactorum (Berg) in Australia certainly were an impetus for further research in BC field. Although the levels of success have been variable, biological control is still considered as an important means of pest control, either alone or as component of integrated management programs (Jervis, 2005; Wajnberg et al., 2007).

Introduction

Pheromones are chemicals emitted by living organisms to send messages to individuals of the same species. The class most widely explored are the sex pheromones produced by female moths which are used to attract conspecific males for mating. Bombykol, the sex pheromone of the silk moth, was first synthesized in 1959.

During the past 40 years, pheromones of hundreds of insect species have been chemically elucidated, including the sex pheromone of the codling moth. Its main component is (E, E) 8, 10-dodecadien-1-o1, a primary alcohol containing a straight chain of 12 carbons and two conjugated double bonds. Other moth pheromones are hydrocarbons, epoxides, acetates or aldehydes. These molecules all vaguely resemble fatty acids, from which they are indeed biogenetically derived.

Most pheromones consist of blends of two or more chemicals which need to be emitted at exactly the right proportions to be biologically active. The female effluvia or sex gland can contain additional compounds which are related to the pheromone components and whose biological function is often unclear. On the other hand, many attractants of male moths have been discovered simply by field screening. In several cases it could later be shown that the attractant found with this technique was identical to the natural pheromone produced by the female. In most others, the composition of the true pheromone is still unknown.