eChapters

The concept of insect pest management and the strategies employed have evolved over the time. With the increased emphasis on safe agricultural practices and elevated demand for safe and healthy food, the various solutions for pest management have shifted more towards use of biocontrol agents. Bio- rational pest management methods have now evolved as important pillar of the integrated pest management to replace the synthetic insecticides and also other associated advantages. They include the use of botanical pesticides, insect growth regulators, pheromones and allelochemicals. The major positive attributes associated with all of them are their low mammalian toxicity, safety to beneficial and non-target organisms, higher specificity, low risk of development of resistance and low environmental persistence. Though bio-rational insecticides are considered to be safe, in an organic ecosystem, it should be done with caution because over reliance on them for longer periods may facilitate the target insect pests to develop some kind of resistance against them. So, proper deliberations on the positive and negative attributes of bio rational pest management strategies should be done so as to facilitate their long term usage in organic farming.

Agricultural sector, with the technological advancements, is also contributing to global climate change, loss of biodiversity and degradation of resources. Further, there is a serious global concern about chemical residues, healthy food and healthy planet earth. Organic and natural farming are acclaimed to be the best alternative non-chemical production pathways to reverse the ill effects of modern agriculture. However, these systems are not contemplated to meet the food security and other requirements of ever-growing human population, particularly in developing countries. In this chapter, based on the available and documented protocols and production practices of these systems, the additional research, extension and policy needs to strengthen these production pathways to attain economic, ecological and social sustainability are discussed while considering the Sustainable Developmental Goals (SDGs) of United Nations.

The methodology has been carefully considered in order to comprehend the idea, procedures, and approaches used in the design of the study, information gathering, data analysis, and finding interpretation for the identification of relevant truths and the development of hypotheses. The methodology and a process employed in the study are covered in this chapter.

5.1 Locale of the Research

The rural areas of Darjeeling-Pulbazar CD block, Jorebunglow-SukhiaPokhri CD block in Darjeeling district in West Bengal was selected for the study. The area had been selected for the study because of the availability of appropriate respondents, people as well as the local language.

5.2 Pilot Study

Prior to beginning the actual research, a pilot study was carried out to better understand the regions, its inhabitants, institutions, and programmes activities associated to the migration process in the research area. During the pilot study period, the respondents’ situational and historical data were gathered.

Historical Perspective

Organic Farming was initiated in about 10,000 years back when ancient farmers started cultivation depending on natural sources only. There is a brief mention of several organic inputs in our ancient literature like Rigveda, Ramayana, Mahabharata, Kautilya Arthashastra etc. In fact, organic agriculture has its roots in traditional agricultural practices that evolved in countless villages and farming communities over the millennium.

Organic Movement

The organic movement began in the 1930s and 1940s as a reaction to agriculture’s growing reliance on synthetic fertilizers. Artificial fertilizers had been created during the 18th century, initially with superphosphates and then ammonia derived fertilizers mass-produced using the Haber-Bosch process developed during World War I. These early fertilizers were cheap, powerful, and easy to transport in bulk. The 1940s has been referred to as the ‘pesticide era’. Sir Albert Howard is widely considered to be the father of organic farming. Rudolf Steiner, an Austrian philosopher, made important strides in the earliest organic theory with his biodynamic agriculture. More work was done by J.I. Rodale in the United States, Lady Eve Balfour in the United Kingdom, and many others across the world. As a percentage of total agricultural output, organic farming has remained tiny since its beginning. As environmental awareness and concern increased, the originally supply-driven movement became demand driven. Standardized certification brought premium prices, and in some cases government subsidies attracted many farmers converting into organic farming. In the developing world, many farmers started organic farming according to traditional methods but are not certified. In other cases, farmers in the developing world have converted out of necessity. As a proportion of total global agricultural output, organic output remains small, but it has been growing rapidly in many countries, notably in Europe.

Research methodology gives detailed justification about the research methods and procedures carried out in the present study. The present study focuses on the women’s involvement in the dairy farming and their empowerment. Keeping in view the specific objectives of the study and various aspects relating to these objectives the methodological framework has been formulated. The sub topic under the research methodology is as follow:

3.1 Locale of the study

The present study entitled “Retrospective Multidimensional Study on Magnitude of Participation of Women in Dairy Farming in East district of Sikkim” was carried out in the villages of East district of Sikkim. Sikkim is the second smallest states in India, with an area of 7,096 sq. km in size. The meaning of Sikkim is “The valley of rice”. It lies between 27 º33' 00" N and 88 º30' 00" E. The average annual temperature of the state is 18 ºC (64 ºF) and annual rainfall is 2739 mm. The state is situated in the Eastern Himalayas and it shares its border with countries like Tibet, Nepal and Bhutan. Mt Kanchendzonga (8585m) which is the third highest peak in the world is situated at Sikkim. According to 2011 census, population of state was 610,577 with male population of 323,070 and female population of 287,507. The literacy rate in the state is 81.40 percent. The density of the state is 86 people per km2 (Census,2011). The cattle population in the state was 264,860 in number (BAHS,2019). The state has four district- East, West, North, and South (Registrar General of India, 1989).

The global human population is increasing exponentially with time, and it is expected to reach 9.6 billion by 2050 (UN 2013). With rapid population growth, food consumption is predicted to more than double in the next 40 years. Due to limited land resources for cultivation and a stabilising trend in agricultural productivity, the role of livestock sector is increasing significantly to meet the rising food demand. Meanwhile, global livestock production has increased significantly in both number and productivity. Unprecedented urbanisation has a significant impact on food consumption patterns in general, as well as demand for livestock products. Animal diseases are a significant factor in reducing livestock productivity, particularly in developed countries. The limitations of traditional animal breeding hinder further improvement of livestock productivity. The use of biotechnological tools has major applications in improving animal health and production, increasing disease resistance, using assisted reproductive techniques, improving rapid diagnostic techniques, and improving vaccines in livestock systems. These interventions cover advancements in feeding, nutrition, genetics, reproduction, animal health control, and overall improvement of animal husbandry. Since genomic tools and selection have been widely adopted in developed countries to improve both productivity and quality of animal products, the prospects for increasing productivity in developing countries using genomic tools and selection have not been adequately investigated.

Livestock is one of the fastest growing agricultural subsectors in developing countries. In India has a vast diversity of animal genetic resources. Among them, sheep is an important ‘five star’ livestock species contributing significantly to rural economy through production of mutton, wool, manure, skin and milk etc. Sheep make a valuable contribution to the livelihood of the economically weaker sections of the society. The total Livestock population is 535.78 million and total sheep population is 74.26 million in in the country showing an increase of 4.6% and 14.1%, respectively over Livestock Census-2012. And it’s ranking 3rd in the world after China and Australia. Rajasthan is the fourth largest sheep rearing state in India with 7.9 million population (Livestock Census, 2019). Malpura sheep is one amongst the heaviest sheep breed of India, widely distributed in the semi-arid region of Rajasthan, mostly Tonk, Jaipur and Sawai Madhopur districts. Malpura sheep is reared and improved for mutton production since year 1975 at CSWRI, Avikanagar. The objective since then has been to improve the growth characteristics of this sheep breed for producing more carcass yield.The sheep is known for its adaptability to the harsh environment and potential for high meat production.Coat colour of Malpura sheep is white with coarse wool. The face is light brown with short, blunt ears. Animals have square compact body and long legs. Farmers also have liking for the long tail of animals for aesthetic purpose. The farmers like Malpura sheep for its properties like good mothering ability and produce sufficient milk to sustain and accelerate the growth of their neonates (Mishra et al., 2005), higher weight gain, number of lambs weaned, wool quality, walking capacity and the ease of management.

Introduction

The finance sector is undergoing a profound transformation driven by technological advancements, with artificial intelligence (AI) and blockchain technology at the lead of innovation. AI, characterized by its capacity to analyze vast datasets, recognize patterns, and take data-driven decisions has revolutionized various industries, including finance. On the other hand blockchain technology, initially popularized by cryptocurrencies like Bitcoin has arose as a disruptive force in finance, offering decentralized, transparent and secure transactional systems.

The integration of AI and blockchain technology holds immense promise for the finance sector, offering new avenues for efficiency, transparency, and risk management. By combining the analytical power of AI with the security and transparency of blockchain, financial institutions can streamline operations improve customer experiences, and mitigate risks more effectively. However realizing the full potential of this integration requires a nuanced understanding of its complexities, challenges, and opportunities.

Introduction

AI plays a key role in management effectiveness and adaptation, especially in small and medium enterprises (SMEs) facing evolving markets (Lemos S. I. C., et al., 2022). Designing AI-based management frameworks enhances companies’ economic activities through data analysis and informed decision making (Emine, Kalender., 2023). Academic research shows a growing interest in AI in management, with a focus on effective adoption practices and potential areas for development (Jbid, Arsenyan., Anke, Piepenbrink. 2023). Artificial intelligence (AI) significantly influences decision-making processes in management by enhancing rationality, efficiency, and fairness. AI, through machine learning and big data analysis, reduces managerial bounded rationality, enabling a shift from satisficing to optimizing decision making modes (Shtepa, S., et. al., 2023). In human resource management AI-enabled interview analysis improves candidate selection by uncovering hidden patterns and mitigating biases, leading to more objective decisions (Rajneesh, Panwar. 2023). Additionally, by increasing productivity, efficacy and creativity, the incorporation of AI into business strategy transforms decision-making; nonetheless, ethical considerations and human oversight are essential for responsible implementation (Gonesh, C., et. al., 2023).

Introduction

Global economies have witnessed very deepened financial integration in past decade and have more room for leverage. However, these integrations have also witnessed various turmoil in the economy in the form of Russian- Brazil debt crisis, Asian financial crisis, Dot com bubble, Argentina debt crisis, Global financial crisis and many more since 1990s. Due to the existence of globalization, these crises have impacted not only a particular economy but has extended its scope.

The previous studies have found the credit growth and asset prices as a leading indicator. Some studies also showed that the foreign exchange reserve, broad money supply and trade as variables were also statistically significant. These studies have used either the Signal Extraction Approach used by Kaminsky and Reinhart (1999) which used a threshold value as a limit for multiple variables beyond which a crisis signal is given. Bucharest Stock Exchange (BSE)in Romania (Brezinski and Stephen, 2011) lost its attractiveness among foreign investors. However, there are not enough resources which focuses on Asian economies or India. The emergence of novel technologies, including artificial intelligence (AI), blockchain, cloud computing, big data analytics, machine learning (ML), internet of things (IoT), and 3-D printing, commonly known as Industrial Revolution 4.0 (IR4.0), offers developing nations like India both significant opportunities and challenges. IR4.0 technologies, sometimes referred to as the “digital revolution,” have numerous uses in the industries of services, industry, and agriculture.

1. Introduction

Have you ever dreamt of exploring an entirely different realm? Envision a place where an alternate version of yourself can freely roam and pursue various activities without the constraints of reality. In this realm, you can engage in work, socialize, acquire possessions, conduct transactions, embark on novel experiences, and revel in unprecedented adventures. Now, imagine that major technology companies are actively developing this virtual world to make it a tangible part of your life. The once fantastical concept of the Metaverse is now poised to become the next major innovation(Jung et al., 2024). It is widely acknowledged by scholars and researchers that the Metaverse is an idea of technology that attracts itself as a three-dimensional monotony of the Internet. Moreover, as noted earlier, definitions of the metaverse in existing literature and among professionals reflect the integration of physical objects in virtual space as a consumable description of the metaverse great role(Dwivedi et al., 2022). The key to any Metaverse technology is their user experience. Analysis of Metaverse applications shows that most current applications are stand-alone or centralized. These applications provide different user experiences, based on the cardinal technology and interface devices used to communicate within virtual environments.2

Introduction

The technology behind Internet search engines is advancing quickly, and this has an impact on how individuals find the information they need online as well as how search engines improve their algorithms (N. Zafar et al. 2022). Search engines are playing a prime role in generating leads for businesses (Olbrich and Schultz, 2014), Because of this, search engines are regarded as the most recent online communication channels for dynamic marketing (Olbrich and Schultz, 2014). To examine how academic institutions (in higher education) use the web to facilitate student relations and identify how prospective students are using the Internet to research academic institutions, Will et al. conducted a study that involved the analysis of more than 3000 university websites. The web continues to be the primary research resource for prospective students, counselors, and parents. The research was undertaken (Sampath Kumar and Kumar, 2013) to determine whether or not academics utilized search engines to access scholarly content from the internet. 285 (95%) of the 300 respondents used search engines to find academic content, compared to just 5% who didn’t. To access the Ed-tech companies that are playing a role in academia, comparable assessment is crucial.

Introduction

Industry 4.0 is essentially the digital revolution of artificial intelligence and subsequent production processes utilizing contemporary smart technology. Cyber-physical systems, or intelligent machines, are the cornerstone of this revolution (Scoop, 2018). The key features of Industry 4.0 include the integration of IoT, increasing automation technology, and enhanced communication and self-counseling techniques (Tay et al., 2018). According to Schwab (2017), new developments in artificial intelligence (AI), robotics, nanotechnology, biotechnology, the Internet of Things (IoT), decentralized systems, 3D printing, fifth-generation communication technologies, quantum computing, and autonomous cars will all be part of this revolution. Early in the 2010s, Germany saw the emergence of Industry 4.0 as a result of government initiatives to advance manufacturing computerization as part of its high-tech strategy project. The concept of Industry 4.0 has been implemented in a variety of contexts and rebranded by various industries or businesses as needed.

Introduction Data analytics is a systematic analysis of data or statistics. It is also the process of collecting, cleaning, transforming, interpreting, modelling and visualization the data. Such transformed data has to be further investigated to retrieve helpful information that may help conclude and support decision making. This study presents revising selected two relative valuation models (PE Model, PB Model) by replacing the most non-significant variables used in the model with the critical variable that is the potential cause for improving the model’s performance. The objective of relative valuation is to value assets based on how similar assets are priced in the market. This paper measures the valuation accuracy using Root Mean Squared Errors and refine the relative valuation models using the machine learning algorithm for predicting the value of a stock. The following steps helped to revise and refine the PE Model, PB model (Relative valuation models) to predict the value of Sensex stocks.

Introduction

India has shaped its economic growth and transformed through information technology and digitalisation/ The Digital India initiative has tremendously improved its economic development. India’s efforts to revolutionize its information technology have taken the road ahead among the developed countries/ The contribution in the digital payment system has shifted in the banking and financial services sector. The emergence of technology upgradation through the internet has gained momentum in shifting towards internet and mobile banking technologies. The advent of technology has revolutionized the banking system through the evolution of financial technology with sustainable technological architecture through artificial intelligence which has enhanced ease of access for customers in the banking and financial sector. Artificial intelligence revolutionized various industries especially in the banking sector which has enhanced the way for interact the customers. The AI technology helps in reducing the cost for the Financial Sector. The Banks are welcoming the new age technology to serve betterment of the modern banking services.

9.1 ECONOMIC LOSSES DUE TO ANIMAL DISEASES

Economic considerations are increasingly forcing their way forward in the decision-making processes of animal health management. With the continuing intensification of livestock production systems, the economic implications of livestock diseases have become increasingly important at both farm and national levels, as they represent avoidable waste of scarce resources (McInerney, 1988). From an economic point of view, an animal disease either destroys the basic resources, reduces the attainable output, dwindles the efficiency with which the resources are converted into products, or decreases the economic value of products (McInerney, 1995).

The effects of a disease present in an animal or herd may be manifested by stunted growth, lowered production, delayed maturity, delayed conception, mortality, reduced resource (especially feed) use efficiency, etc. These negative impacts of a disease demand more resource(s) than usual, resulting in higher expenditures for the same output and reduced farm income. Apart from these negative effects at the farm or herd level, animal diseases lead to economic losses at the regional, national, and global levels too by increasing animal mortality, reducing productivity, increasing disease control costs, swelling losses in animal trade, decreasing the market values of livestock and their products, and ultimately ending at food insecurity. These economic impacts of livestock diseases, besides their social impacts, have now been recognized globally, in both developed and developing countries, necessitating quantification of the economic impact of animal diseases as an urgent and important step to support the prevention and control decisions for improved animal health to ensure better rural and global economy.

After assessing the prevalence or incidence of the disease concerned, the next step is to quantify the economic losses due to that disease by classifying and presenting all the information available on the losses, expressing these in monetary values, and identifying and quantifying the indirect losses attributable to a disease, to the extent possible. Usually, most of the negative effects of diseases can be conveniently estimated in terms of reduced output, mortality, reduced weight, delayed maturity, and treatment cost, directly. However, quantifying the indirect effects of the disease will be complex, but it is not impossible.

As we saw earlier, the economic impacts of animal diseases can be measured using statistical / epidemiological methods and economic methods. Economic methods of disease loss estimation include the Gross Margin Analysis, Enterprise Budgeting, Equi-Marginal Principle, Partial Budgeting, Cost Benefit Analysis, and Decision Analysis.

Introduction

A complete neurological examination is warranted whenever an equine patient displays signs consistent with neurological disorder or to establish that the horse is neurologically normal (e.g., pre-purchase examination). Neurological examination of equine patient is challenging due to their large size, which prevents veterinarian from using many of the tests used for small animals. The key to a successful neurologic examination is to do the examination in a consistent and organized fashion. It is important to develop a routine, then do it the same way each time. This approach ensures that some parts of the examination are not forgotten and it also increases the consistency of the exam as you examine more number of equine patients. A standardized examination form is a valuable aid in this and can be concise. The goals of the neurologic examination are to determine whether disease of the nervous system exists, to localize the lesion to a particular area of the nervous system, and to describe and record the responses as a baseline for future evaluations. In this paper, a complete neurological examination is described with special emphasis on field conditions.

Introduction

Canine epilepsy, a prevalent neurological disorder, significantly impacts the quality of life for both dogs and their owners. Traditional anticonvulsant therapies often yield inconsistent outcomes, necessitating the exploration of alternative treatments such as homeopathy [1][2]. Homeopathy’s individualized approach aligns with the principles of unicism, focusing on holistic care tailored to each patient’s unique symptom profile [3]. However, the subjective nature of remedy selection and response assessment poses challenges for practitioners.

The integration of Artificial Intelligence (AI) and Machine Learning (ML) offers a promising avenue to address these challenges [4]. Predictive models can analyze complex datasets to uncover patterns that guide remedy selection and treatment strategies. This study evaluates the comparative performance of Logistic Regression, Random Forest, and XGBoost in predicting treatment outcomes for canine epilepsy managed with homeopathic remedies.

Introduction

Sustainable agriculture focuses on practices that ensure the long-term well being of the environment, society, and economy. In India, the government has instituted various policies and initiatives to encourage sustainable farming practices and enhance farmers' income. Embracing sustainability is crucial for making agriculture both profitable and environmentally friendly for future generations, and technology emerges as the key enabler for achieving this goal. Technological advancements empower farmers to make informed decisions regarding optimal planting and harvesting times, as well as the judicious use of water and fertilisers. This leads to reduced waste, increased crop yields, and ultimately higher profits for farmers. Additionally, technology plays a significant role in mechanisation, encompassing the use of modern agricultural implements that multitask while minimising soil impact (McFadden et al., 2023). Addressing major challenges such as crop residue management through environmentally friendly technological methods not only enhances efficiency and productivity but also reduces the physical labor required, transforming farming into a less strenuous occupation.

In statistics, sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Two advantages of sampling are that the cost is lower and data collection is faster than measuring the entire population. Each observation measures one or more properties (such as weight, location, colour) of observable bodies distinguished as independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly stratified sampling. Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

The sampling process comprises several stages

• Defining the population of concern

• Specifying a sampling frame, a set of items or events possible to measure

• Specifying a sampling method for selecting items or events from the frame

• Determining the sample size

• Implementing the sampling plan

• Sampling and data collecting

11.1. Introduction

Fuzzy Cognitive Mapping (FCM) is a powerful soft computing technique that integrates elements of fuzzy logic and cognitive mapping to model complex systems. It allows for the representation of causal relationships between variables in an interpretable and flexible manner, making it particularly valuable for analyzing and simulating real-world dynamic systems. FCM has its roots in cognitive science, systems thinking, and artificial intelligence, enabling researchers and practitioners to model uncertainties and interdependencies effectively (Tyrovolas et al., 2023). The approach is particularly advantageous when dealing with complex, ill-structured problems where traditional mathematical modeling techniques fall short. By capturing expert knowledge and combining it with computational techniques, FCM helps in making informed predictions and policy decisions.

It is widely applied across multiple domains, including environmental management for sustainability assessments (Özesmi and Özesmi, 2004), decision support systems in business and governance, healthcare for medical diagnostics and treatment planning (Apostolopoulos et al., 2024), and socio economic planning for policy analysis and forecasting (Gray et al., 2015). Furthermore, its adaptability has led to its increasing integration with artificial intelligence, machine learning, and big data analytics, making it a promising approach for tackling contemporary challenges.

The full name of an organism technically has eight terms. For the dog it is: Eukarya, Animalia, Chordata, Mammalia, Carnivora, Canidae, Canis, and lupus. Notice that each name is capitalized except for species, and the genus and species names are italicized. Scientists generally refer to an organism only by its genus and species, which is its two-word scientific name, or binomial nomenclature. Therefore, the scientific name of the dog is Canis lupus. The name at each level is also a taxonomy Carnivora is the name of the taxon at the order level; Canidae is the taxon at the family level, and so forth. Organisms also have a common name that people typically use, in this case, dog. Note that the dog is additionally a subspecies: the “familiaris” in Canis lupus familiaris. Subspecies are members of the same species that are capable of mating and reproducing viable offspring, but they are separate subspecies due to geographic or behavioural isolation or other factors. Dogs, which are under the species Canis lupus familiaris, are known to have a total of 78 chromosomes (2n). The diploid genes can be classified into 38 pairs with two sex chromosomes.

Concept: Operations conducted before and after harvest are essential components of the system for producing high-quality seeds. If enough care is not taken in the initial stage, there most likely won’t be any resources left to get high-quality seed. Like this, carefully produced, high-quality seed may lose a significant percentage of its worth if post-harvest management protocols are not adhered to. Its quality is highly correlated with soundness, fullness, and homogeneity of physical characteristics (size, shape, density, colour, and appendages), in addition to mechanical planting’s simplicity and improved crop establishment. Improving the seed that has been gathered and getting it ready for secure storage till needed are accomplished through the effective and efficient process of seed processing. To increase the quality of the seed lot, the goal of seed processing must be to optimize the physical properties of the seed and the constituents of the harvested seed mass. The three main steps in seed processing are conditioning, grading, and applying protectants or enriching with nutrients. These steps are completed in compliance with established protocols and standards (McDonald and Copeland 1997; Agrawal 1996; Jorgensen and Stevens, 2004). The distinct qualities of the crops and the surroundings are taken into consideration while adjusting the machines and operations.

Concept: The preservation of viable seeds from the moment of collecting until they are needed for sowing is known as storage. Every year, a significant quantity of seeds loses their usefulness due to incorrect storage. Seeds need to be preserved and stored dry. As was previously mentioned, seed moisture content and storage temperature have the biggest effects on how long seeds last. The three main environmental elements that impact seed deterioration and loss of viability are moisture, temperature, and oxygen percentage. For over 90% of species, reducing seed moisture content (MC) to certain thresholds consistently lengthens the seed’s lifespan (Roberts 1973). These species are categorized as “orthodox” in terms of the conditions in which they should store seeds; under suitable dry, cool conditions, they typically maintain viability and germinability even after extended periods of storage. Ellis and Roberts’ improved viability equations have addressed the quantitative impacts of both drying and cooling for orthodox seeds. The life of the seed is often doubled for every 1% drop in seed moisture (when seed MC fluctuates between 5 and 14%) and every 5 oC drop in storage temperature (between 0 oC and 50 oC) (Harrington 1972). Low seed MC and low temperature are hence fundamentals of traditional seed storage. Careful regulation of these two factors is necessary to achieve optimal storage life. But most seed produced annually just has to be kept from harvest until the following planting season. Depending on the type of seed, it may or may not need to be stored at temperatures and relative humidity above room temperature. Regardless of any modifications made for unique uses, the local climate storage facility needs to have a few essential components (Barre, 1954; Wheeler and Hill, 1957).

Introduction

We are faced with the dual challenges of Climate change and food insecurity irrespective of the countries and regions across the globe. Asia Pacific region is one of the most climate change vulnerable regions in the world (Prabhakar & Matsumoto, 2010) on account of its relatively higher & dense population depending on climate related sectors and living in climate change vulnerable locations. In particular, the agriculture production system is facing serious repercussions due to increasing weather vagaries since past few decades. Agriculture being highly dependent on climatic condition is like gambling at the hands of erratic rainfall or droughts leading to crop loss on a regular basis in terms of reduced yield, increased pest resurgence and lack of safety net in case of weather based disasters all of which prominently affects the small holder farm families. Indian subcontinent has been facing extreme climatic events since the past decades in form of floods, erratic rainfall, high temperature, shrinking water sources, etc. which have caused deprivation in agriculture in economic and non-economic terms. In a series of researches and studies conducted over the years; the need for enhanced adaptation research and policymaking capacity in developing Asia has been reflected. Hence, adaptation research has to take an important place at global, national and local level.

1. Introduction

The agriculture sector in Asia and the Pacific plays a vital role in the rural economy, making significant contributions to both GDP and employment. This sector serves as a cornerstone for food production, economic growth and poverty reduction in the region. Understanding the importance of farming in the region’s rural economy, as well as the need for viable farming systems particularly for smallholder farms, is essential for sustainable development.

Importance of Farming in the Rural Economy

Farming has a substantial impact on the rural economy of Asia and the Pacific. It serves as a primary source of income and livelihood for rural populations, contributing significantly to the region’s Gross Domestic Product (GDP). The agricultural sector encompasses a wide range of activities, including crop production, livestock farming, fisheries, and forestry, providing diverse opportunities for economic development.

According to the Food and Agriculture Organization (FAO), farming accounts for 29 percent of the region’s GDP (FAO, 2021). This demonstrates the significant economic value that agriculture brings to the region, making it a crucial sector for sustainable development. The revenue generated from agricultural activities supports not only farmers but also other stakeholders in the value chain, including agro-industries, distributors, and exporters.

The term project originates from the Latin word projectum derived from the Latin verb proicere, “before an action” which originates from pro-, signifying precedence, something that occurs prior to something else in timing, and icere, “to do”. The term “project” therefore initially signified “before an action. “. A project is a distinct kind of production system that produces a sole unit of product. Like, building a ship or a house, moving a department or a plant, developing a new product or performing a study are examples of such one-of-a-kind products.

In modern business and science, a project is a joint effort, encompassing research or design, that is carefully organized to accomplish a specific goal. The project can also be described as a collection of interconnected tasks to be performed within a defined timeframe and under specific budgetary and other constraints. Projects can be additional defined as temporary instead of enduring social systems or work systems that are formed by teams within or between organizations to achieve specific tasks under time constraints. And all must be expertly managed to deliver the on-time, on budget results, learning, and integration that organizations need. A project in business and science is a provisional endeavor engaged in to produce a distinct item, service, or result. Basically, it is planned to attain a specific goal. The aim of a project is to achieve its goal and subsequently conclude.

1. Taungya is a method of raising forest plantation in combination with_____________. (Agricultural crops)

2. Buffer strips left along streams to reduce erosion and provide shade for fish, which are known as _____________. (Streamside Management Zone, SMZ)

3. Agroforestry system journal is published in_____________. (Netherland)

4. Indian journal of agroforestry is a_____________journal. (Quarterly)

5. Taungya was developed by_____________. (Brandis)

6. The interaction in which both the member of the community in an ecosystem are benefitted is known as_____________. (Mutualism)

7. The tendency of neighbouring plants to utilize the same quantum of light, mineral nutrients and space is known as_____________. (Competition)

8. Allelopathy is the best example of_____________. (Amensalism)

9. D & D approach was developed by_____________. (ICRAF)

10. _____________design is followed in greenhouse experiments. (RBD)

1. Life history of Indian termite was first published by_____________. (J.G. Koeing)
2. Plant disease written by_____________. (R.S. Singh)
3. J. W. Helfer seems to have the first to collect insects because these were pest of trees during the year_____________. (1810)
4. The largest insect order is_____________. (Coleoptera)
5. Project directorate of biological control is located at_____________. (Bangalore)
6. Main skeletal structure to which most of the muscle attached is_____________. (Thorax)
7. The outmost waxy layer of insect body is called_____________. (Cuticle)
8. Insect body consists of series of segment designated as_____________. (Sclerite)
9. _____________ is the author of the book entitled “The ecology of forest insect”. (CFC Beesom)

1. Forest soils are_____________ in nature. (Acidic)
2. The term soil originated from latin word ‘Solum’ which means_____________. (Floor)
3. Most commonly used sources of N fertilizer in forestry is_____________. (NH₄)₂SO₄
4. _____________ is considered as the father of pedology. (V. V. Dokuchaev)
5. _____________ is considered as father of soil testing. (Troug)
6. Land capability class was given by_____________ and_____________. (Klingebiel and Montgomery)
7. The law of the minimum was given by_____________ in 1862. (Liebig)
8. Law of restriction was proposed by_____________. (Liebig)
9. The soil structural classification followed in India is according to_____________. (USDA)

Transgenic crops, developed through genetic engineering techniques, have revolutionized modern agriculture by conferring novel traits that enhance yield, quality, and resilience. This chapter delves into the intricate interplay between the scientific advancements in breeding approaches for transgenic crops and the critical ethical concerns and regulatory frameworks that accompany them. The chapter begins by introducing the concept of transgenic crops and provides an overview of the diverse breeding techniques employed to manipulate plant genomes. These techniques include Agrobacterium mediated transformation, biolistic transformation, CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats–associated protein 9) genome editing, RNA interference (RNAi), and site-specific integration methods. Each method is presented within the context of its potential benefits and limitations. The subsequent sections address the ethical considerations that arise from the creation and deployment of transgenic crops. The potential ecological and biodiversity impacts, cross-contamination risks with conventional crops, and issues related to patenting genetically modified organisms (GMOs) are explored. Furthermore, the chapter examines the ethical implications of genetically modified crops on human and animal health and questions surrounding the monopolization of seed resources. Looking to the future, the chapter outlines emerging breeding technologies and anticipates potential challenges in ethical consideration and regulation.

Genome editing has revolutionized plant breeding, offering precise and efficient methods to enhance crop traits. This chapter provides an overview of genome editing’s principles, applications, challenges, and future prospects in plant breeding. The chapter explores genome editing technologies, with a focus on CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats-associated protein 9), TALENs (transcription activator-like effector nucleases), and ZFNs (zinc finger nucleases). CRISPR-Cas9, in particular, has become the go-to tool for precision breeding, allowing scientists to target and modify specific genes with unprecedented accuracy. Applications of genome editing in plant breeding are diverse. It enables the development of crops with enhanced disease resistance, drought tolerance, and improved nutritional content. Additionally, genome-edited crops reduce environmental impact by requiring fewer chemical inputs and promoting sustainable farming practices. Accelerated breeding shortens the time needed to create new crop varieties, addressing urgent agricultural challenges. Looking ahead, the future of genome editing holds exciting possibilities. Continuous advancements in technology promise even more precise editing tools and high-throughput capabilities. Precision breeding will become the norm, allowing for tailored crop varieties and customized agricultural practices.

Introduction

Breeders expect a new variety to show high performance for yield and its contributing characters along with other physiological and nutritional traits. A variety is said to be superior not only for its higher economic yield, but also for its consistent performance over a wide range of environmental conditions. But the performance of a particular variety is the resultant of its genetic constitution and the environment in which it has been grown. Particular variety may not exhibit same phenotypic performance under different environments, or different varieties may perform differently to a specific environment.

The basic cause of differences in the stability of different genotypes is the interaction effect of genotype and environment, known as genotype × environment (G × E) interaction (GEI). The term environment refers to the uncontrolled external conditions that affect expression of genes of an individual genotype such as the annual rainfall, dry spells, soil fertility gradients, waterlogging, depth and texture of soil, and photoperiod and incidence of disease or pests. However, prediction of GEI is seldom possible with available and known factors. Therefore, the environmental factors can be categorized as predictable and unpredictable environmental factors (Table 1).

Aquaculture, the farming of aquatic organisms, holds immense promise for meeting the growing global demand for seafood while alleviating pressure on wild fish stocks. This abstract explores the future trajectory of aquaculture, highlighting both its prospects and the challenges it faces. The future of aquaculture appears bright, with projections indicating continued growth in production to meet rising demand for seafood. Advancements in technology, such as recirculating aquaculture systems (RAS) and genetic improvements in fish breeds, offer opportunities for increased efficiency, productivity, and sustainability. Furthermore, the diversification of species farmed, including high-value marine species and alternative protein sources such as algae and insect-based feeds, opens new avenues for innovation and market expansion. Despite its potential, aquaculture confronts numerous challenges that must be addressed to realize its full benefits sustainably. Environmental concerns, such as habitat degradation, water pollution, and disease transmission, remain significant challenges requiring robust management strategies. Additionally, social and economic considerations, including equitable access to resources, labor rights, and market dynamics, present complex obstacles to the industry's growth and inclusivity. Furthermore, regulatory frameworks must adapt to evolving technologies and practices to ensure responsible and ethical aquaculture development.

1. Introduction

Starting a fish hatchery has the potential to be a profitable endeavor with substantial income growth. Fish hatcheries are essential to the aquaculture sector because they breed and raise fish for a variety of uses, including commercial operations, recreational fishing, and stocking. This business has numerous advantages such as the opportunity for sustainable production methods, consistent demand for fish products, and very low initial investment expenses. Furthermore, fish hatcheries offer a practical way to address the growing global demand for seafood while also promoting economic development and job creation in nearby communities. The context for discussing the benefits and potential of establishing a fish hatchery as a way to double revenue was established by this introduction. In an established fish hatchery, fish eggs are produced and reared under carefully monitored circumstances in preparation for their eventual release into the wild or transfer to aquaculture farms. The potential of fish hatcheries to double income is examined in this introduction, which also emphasizes important aspects such as market demand, sustainability, technological improvements, and financial feasibility.

Entrepreneurship theory has been evolving over the last 20 years and is ever growing. It is defined as a verifiable and logically coherent formulation of relationships, or underlying principles that either explain entrepreneurship, predict entrepreneurial activity or provide normative guidance (prescribing the right action in particular circumstance). Entreprenuership is interdisciplinary and contains various approaches that would increase one’s understanding of it. One way to examine these theories is with a ‘schools of thought’ approach that divides entrepreneurship into specific activities. These activities may be within a ‘macro view or a micro view’, but all address the conceptual nature of entrepreneurship.

Development of entrepreneurship

Creativity: Creativity and innovation are often used to mean the same thing, but each has a unique connotation. Creativity is the ability to bring something new into existence. Ideas usually evolve through a creative process whereby imaginative people bring them into existence, nurture them, and develop them successfully. The creative process for an idea contains five stages – germination, preparation, incubation, illumination, and verification.

Retailing
Retailingincludes all activities involved in selling and providing goods and  services to ultimate consumers for personal or household use.
Classification of retail establishments
Based on ownership
• Independent retailer- one store ownership
• Chain retailer- many stores but owner is one
• Franchise – many owners of many stores

This chapter presents a birds’ eye view of the soil to develop the interest among the readers to know more about the fundamental concepts of soil.

Soil is a major determinant of terrestrial ecosystems and helps in the distribution of land flora and fauna. Soils are sources, transformers and stores of plant nutrients. Soils are the recycling places of plant and animal residues and wastes. Soils are also the screen and filter of pollutants in many ways, forms and degrees. Soils are the main link and recharger of hydrological cycle. Soils influence radiant heat exchange, temperature change and land surface reflection characteristics. Soils are important sources and sinks of biogeochemical cycles of carbon dioxide, methane, nitrogen oxides and sulphur dioxide. Soil is used in buildings, roads, brick kiln, naturopathy etc. Soils are good record of past climatic conditions and human activities, as they have some stable features originated from the interactions of climate, organisms, relief, parent material and time. Soil provides nutrients, water, air, heat and mechanical support to arable plants to produce the food, fodder, fibre, fuel and other plant products for human and animals. Mainly the soil is studied as a natural body and as a medium for plant growth.

Introduction

In aquaculture practises carried out in open environments (e.g. ponds, cages and pens), natural interaction between the culture and non-culture species, where the culture species are been fed by the non-culture species (predation) can occur, causing significant economic loses (Ross, 1988). As many as thirteen different predators are considered to cause loss or damage on salmon farms in Scotland alone among which cetaceans are notable. Seals, sea lions, aquatic birds, dolphins, whales, otters, crabs, starfish, snail, snakes, rats etc are generally considered as predators (SSGA, 1990; Miron et al., 2005), but cetacean species are not notable predators within salmon farms. It is necessary to develop an environment friendly and economically feasible methods or technologies to limit the useless natural interaction. Manual chasing away or removal of predators, usage of scarecrows, anti-predatory nets, covering nets and increasing the tension of nets are some methods used to prevent predations in different aquaculture scenarios.

Acoustic Deterrent Devices (ADDs) otherwise called as Acoustic Harassment Devices (AHDs) help to prevent predation as they produce strong underwater noises (sound waves) that disturb and scare off the predators (Gordon & Northridge, 2002). AHDs are comparatively higher energy output devices than ADDs that operate at a power level of above 185 dB re 1µPa @1m. However, as the hearing threshold of different predators differ, the term “ADDs” are generally used for those that are efficient to deter the predators irrespective of their operating power levels (Götz & Janik 2010). One of the first usage of different unspecified sounds (eg: killer whale’s recorded voice) to deter predators (seals) were during the 1970s and no sounds were then found efficient in a long-term run (Anderson and Hawkins, 1988). Later through the 1980s, the precursor of modern ADDs (175-210 dB re 1uPa @1m) that emit out sound waves of frequency range (8-17 kHz), which is similar to the predator’s (seals) most sensitive hearing range were developed (Mate et al.,1987).

Introduction

Tumaria wetland (29° 18' N & 78° 57'E) is a manmade wetland near Corbett Tiger Reserve, Nainital district, Uttarakhand (Figure 1). It was constructed in the year 1961 and has an average depth of 3.1 m. It was mainly used for irrigation, fish production and has been a favorite place for several migratory birds during winter season (Bhattacharjee and Bargali, 2013; Bhattacharjee,2014). Tumaria bears a humid subtropical climate; emprises hot and dry summer which commences from early October to the mid of June. The area experience wet season from the mid of June to early October and then feels the cold winter. The reservoir catchment area is 284.16 sq. km and its north area is covered with thick, reserved forest of Jim Corbett National Park (Figure 2). The infestation of Salvinia weed is one of the major problems being faced by this wetland.

The exotic free-floating weed, Giant Salvinia (Salvinia molesta Mitchell), belongs to Salviniaceae family and is a native of south-eastern Brazil (Forno, 1983). It is commonly known as water fern, water weed, Kariba weed or water spangle and African payal in India (Jones, 1987). During the past 50 years, it has widely extended throughout the world and has infester the areas of Australia, New Zealand, Africa, southern USA, the Indian subcontinent, south-east Asia and some Pacific islands (Thomas and Room, 1986) (Figure 3). In India, it was f irst established in the state of Kerala since early 1970s (Cook, 1976; Thomas, 1976 and 1979). This aquatic weed has invaded in various aquatic habitats, such as lakes, wetland, rivers, reservoirs and paddy fields.

Introduction

Because of their incredible diversity of life and amazing distinctiveness, coral reefs are frequently referred to as the "Tropical Rainforests of the Sea". Reefs are vast biological treasure troves that provide millions of people throughout the world with a variety of economic and environmental services. Corals are useful and beautiful things that are members of the phylum Anthozoa. The massive reefs that are only visible at low tides are built by hermatypic corals and their symbiotic zooxanthellae. Corals are only found in the ocean and, taxonomically speaking, are part of the scleratinia order.

The solitary forms, known as ahermatypes, are both solitary and colonial and lack symbionts. Corals that form reefs are actively growing in the ocean's photic zone. Around the world, a belt of coral reefs can be seen in the tropical waters. Coral reefs are of immense importance, but due to both natural and man-made influences, they are rapidly degrading and disappearing at an alarming rate. By 2030, 90% of the reefs would be in danger if current rates of erosion are permitted to continue. It is crucial to comprehend the coral reefs' current state of health and the growing dangers to them. The study's goals are to examine management and conservation strategies and shed knowledge on the expanding issue of coral exploitation (Jhajhria, 2021).

Introduction

In a world often characterized by competition and individualism, co-operatives emerge as unique entities that prioritize unity, shared goals, and collective well-being. Co-operatives, also known as co-ops, are voluntary associations of individuals who come together to address common needs and aspirations through collectively owned and democratically governed enterprises. Rooted in principles of collaboration, inclusivity, and mutual support, co-operatives play a vital role in various sectors, including agriculture, finance, consumer goods, and social services. Their essence lies in creating a platform where people can pool resources, skills, and efforts to improve their economic, social, and cultural conditions. At the heart of the co-operative philosophy is the belief that by working together, individuals can achieve more than they could on their own. Co-operatives are not driven by profit-maximization but by the desire to meet the needs of their members while fostering a sense of community and empowerment. Whether it's farmers joining forces to access better markets, consumers forming buying clubs to obtain affordable products, or workers creating businesses to share ownership and decision-making, co operatives embody the principle of "people helping people."

Introduction

Microbial inoculants are “microorganisms that are added to soils or plant surfaces to promote plant growth and health”. These microorganisms include bacteria, fungi, and other microorganisms that have beneficial effects on plants. They have been used in agriculture for many years to improve plant growth and health. They can be used in various ways, including in seed treatments, soil inoculation, and foliar sprays. They work by colonising the root zone or plant surface and providing a range of benefits to the plant. These benefits include nutrient acquisition, disease suppression, and stress tolerance (Callaghan., 2022). Ultimately, their application in agriculture is to increase crop yields, improve soil health, reduce the use of chemical fertilisers and pesticides, and generate sustainable income for farmers. The microbial inoculant market size is expected to generate revenue of USD 24.6 billion by 2027 and is estimated to be valued at USD 12.9 billion in 2022, at a compound annual growth rate (CAGR) of 13.7% from 2022 to 2027. (Markets and Markets: Global Forecast Report 2022–2027). The biofertilizers market in India is estimated to increase from $110.07 million in 2022 to $243.61 million by 2029, at a CAGR of 12.02% during the forecast period (Biofertilizers market Size: Global analysis, 2029). This chapter discusses the use of microbial inoculants in agriculture and their potential as an income-generating tool for farmers.