eChapters

Monsoons are vital atmospheric circulations that govern the climate and livelihoods of vast populations across the globe. Characterized by seasonal reversals in wind direction and associated shifts in precipitation patterns, these systems are critical for agriculture, water resources, and overall socio-economic stability in many regions. However, the delicate balance of monsoon systems is increasingly threatened by climate variability, leading to significant disruptions and challenges, particularly in the form of severe droughts. Recent years have witnessed the devastating impact of drought in numerous monsoon-dependent regions across the world. In India, heavily reliant on the summer monsoon, failures have caused significant water shortages and poor crop yields, particularly in vulnerable regions like southeastern Maharashtra and Rajasthan. The consequences extend to groundwater depletion and increased irrigation demands. The impact of recent droughts is not limited to Asia. The African continent has also faced severe consequences. The Horn of Africa experienced a particularly devastating drought from October 2020 to 2023, resulting in widespread harvest failures, livestock losses, and displacement, marking the worst drought in four decades. West Africa has similarly suffered from frequent droughts causing crop failures, rising food prices, and exacerbating income inequality. South America, too, has experienced significant impacts. Argentina faced a severe drought in late 2022 and early 2023, halving wheat and soy harvests and impacting exports. In Uruguay, this drought led to a lack of access to drinking water for thousands. Brazil has seen harvest failures and reduced agricultural GDP due to drought, also threatening its hydroelectric power generation. Furthermore, the Amazon rainforest has been affected by intensifying droughts, leading to increased tree mortality, a higher risk of forest fires, and significant impacts on biodiversity and local communities due to drastically reduced river levels. Recent years have witnessed the dual impact of extreme weather events in numerous monsoon-dependent regions. In India, while facing drought in many areas, heavy monsoon rains have also caused catastrophic flooding. In July 2021, the coastal regions of Maharashtra experienced severe flooding affecting millions and causing hundreds of deaths. Major events like the 2022 Assam floods and the 2023 North India floods further exemplify the destructive potential of intense monsoon rainfall. The African continent also experiences significant flooding during its monsoon seasons. In 2024, West and Central Africa, including countries like

Introduction 
As we have journeyed through the preceding chapters, meticulously examining the foundational understanding of crop-weather interactions, the sophisticated development of crop simulation models and decision support systems, the invaluable contributions of indigenous technical knowledge, and the systematic formulation of precise and customized agroadvisories, we now arrive at the decisive stage of this entire endeavor of dissemination of Agromet Advisories. The profound scientific insights and meticulously crafted recommendations, no matter how accurate or relevant, remain inert unless they effectively reach the hands, ears, or screens of the farmers who need them most, in a format they can readily understand and apply. This chapter, therefore, is dedicated to unraveling the complex, yet essential, process of ensuring that crucial agrometeorological information successfully traverses the last mile to translate into tangible impact on agricultural practices and outcomes across diverse landscapes. The challenge of effective dissemination extends far beyond a simple broadcast; it necessitates the establishment of a robust, dynamic, and multichannel communication ecosystem. This ecosystem must be meticulously designed to account for the rich tapestry of socio-economic, technological, and literacy disparities prevalent within farming communities. Historically, traditional methods such as the communal gathering around a radio for a farmer‘s bulletin or face-to-face discussions during village meetings formed the bedrock of knowledge transfer, leveraging established social networks and widely accessible, albeit low-tech, communication tools. However, the relentless march of the digital revolution has fundamentally reshaped this landscape, unveiling an unprecedented potential for expansive reach, enhanced personalization, and rapid delivery of information, thereby opening a myriad of new avenues for disseminating critical advisories with remarkable speed and specificity.

5.1 Technology readiness levels- Introduction
Technology readiness levels (TRLs) is measurement of the maturity level of a particular technology. These are based on a scale from 1 to 9, with 9 being the most mature technology. It is a map that shows whether a given technology is in a conceptual state or can be used in real-world applications and ensures innovations are thoroughly tested before being applied on a large scale. The TRL scale uses a set of questions designed to measure progress of a technology toward maturity. They help in reducing risks and improving efficiency. TRLs were initially designed in the 1970s for use by NASA to assess how prepared a technology was for space missions. Technology for space travel is always extremely sophisticated and with a high degree of risk. NASA required a system to assess systematically whether or not a new technology was ready to implement. By breaking down development into different levels, NASA was able to provide informed decisions on which innovations were ready to incorporate (figure 12). In due course, TRL proved to be so effective that other industries began to use it. Other entities like the European Space Agency (ESA), U.S. Department of Defense (DoD), BIRAC, DRDO and many other agencies have taken , to using TRL to guide R&D strategies. TRL helps in simplifying development, decreasing risks, and maximizing resource utilization.

Community mobilization stands as one of the most powerful tools for social transformation and sustainable development. It represents the collective action of communities working together to address their challenges, harness their strengths, and create positive change from within. At its essence, community mobilization embodies the principle that lasting development must emerge from communities themselves rather than being imposed by external forces. This chapter explores the fundamental concepts, historical evolution, and practical aspects of community mobilization, providing a comprehensive foundation for understanding this critical approach to community development that has shaped societies across cultures and continents for millennia.

The integration of yoga practices into community mobilization represents a profound synthesis of ancient wisdom and contemporary social transformation methodologies, offering communities powerful tools for personal and collective empowerment that address the physical, mental, emotional, and spiritual dimensions of human development. This innovative approach recognizes that sustainable community change requires not only strategic planning and organizational capacity but also the inner resources, collective harmony, and holistic well-being that yoga practices can cultivate among community members. Yoga, derived from the Sanskrit word “yuj” meaning to unite or join, embodies principles of integration and connection that align naturally with community mobilization goals of bringing people together for collective action and mutual support. The ancient science of yoga offers systematic practices for developing self-awareness, emotional regulation, physical vitality, and spiritual wisdom that can enhance communities’ capacity for sustained collective action while promoting individual well-being and social harmony. The application of yoga in community contexts

Electronic health records contain extensive clinical, demographic, diagnostic and treatment information that can support medical research and decision-making. This chapter examines the characteristics of healthcare big data and the challenges associated with EHR storage, integration, quality and analysis. It presents an analytics pipeline covering data ingestion, secure storage, preprocessing, integration, pattern discovery, visualization and clinical decision support. Machine learning and deep learning methods are discussed in relation to clinical phenotyping, risk stratification, predictive epidemiology and adverse-outcome prediction. The chapter also addresses data privacy, governance, regulatory compliance, explainability, scalability and bias, highlighting the need for secure and interoperable EHR-mining systems that generate clinically useful knowledge.

Agricultural robotics addresses labour shortages, production demands, environmental concerns and the need for greater operational precision. This chapter examines unmanned aerial vehicles, autonomous ground machines, robotic manipulators, greenhouse robots and livestock systems. Enabling technologies include multimodal sensors, computer vision, navigation, control systems and artificial intelligence. Applications extend from land preparation, sowing and crop monitoring to weeding, spraying, irrigation, harvesting and post-harvest processing. Emerging approaches such as reinforcement learning, digital twins, swarm coordination and soft robotics are also explored. Technical reliability, high investment, connectivity, labour displacement and data ownership remain important barriers. Future development must prioritize accessible, affordable and farmer-oriented automation platforms.

The rapid growth of Large Language Models has demonstrated that increasing model size, training data and computational resources can significantly improve performance. This chapter examines the theoretical and empirical foundations of scaling laws and their relationship with optimization strategies used to train and deploy increasingly capable LLMs. It discusses the major scaling dimensions of model parameters, dataset size and computational budget and explains how predictable relationships between these factors influence model development. The chapter considers the foundational work on scaling laws and the subsequent movement toward compute-optimal training approaches. It also examines distributed training, advanced optimization algorithms, memory optimization, data curation, quantization, pruning and efficient inference. Particular attention is given to Mixture-of-Experts architectures, efficient attention mechanisms and inference-aware scaling. The interaction between scaling laws and optimization is presented as a synergistic process in which scaling principles guide resource allocation while optimization techniques improve computational efficiency. The chapter concludes by discussing emerging capabilities, sustainability, hardware requirements and responsible scaling of future foundation models.

Large Language Models have fundamentally changed natural language processing and expanded the role of artificial intelligence across software engineering, healthcare, education, business and scientific research. This concluding chapter synthesizes the major technological, operational and societal themes addressed throughout the book and develops a roadmap for next-generation AI models. It considers the continuing evolution of model architectures, training methodologies, multimodal capabilities, real-time inference and specialized applications. At the same time, future AI development must address privacy, fairness, transparency, accountability, security, computational cost and environmental sustainability. The chapter emphasizes that LLM development cannot be viewed solely as a race toward larger models; future systems must also become more efficient, adaptable, interpretable and responsible. Emerging directions include self-improving systems, real-time reasoning, multimodal intelligence, domain-specific models and increasingly autonomous AI agents. Lifecycle governance, continuous evaluation and human oversight will remain essential as models become more deeply integrated into society. The roadmap therefore calls for collaboration among researchers, developers, industry, policymakers and users to create AI systems that combine technological capability with safety, sustainability, human values and social responsibility.

Impact assessment extends programme evaluation by examining the broader and longer-term changes associated with an intervention, programme, policy or technology. In agricultural extension and rural development, impact assessment is important for determining whether interventions have produced meaningful, sustainable and attributable changes in farming communities, livelihoods, technology adoption, institutional systems and environmental conditions. This chapter introduces the concept, purpose and contexts of impact assessment and explains the Impact Assessment Framework through the relationship between inputs, activities, outputs, outcomes and impacts. It discusses the meaning and selection of impact indicators and examines social and behavioural, socio-cultural, technology-level, environmental and institutional indicators relevant to agricultural extension. The chapter further presents quantitative, qualitative, participatory and mixed-method approaches to impact assessment, including statistical and econometric methods where appropriate. Environmental Impact Assessment and Social Impact Assessment are also considered as important dimensions of comprehensive assessment. Particular attention is given to issues of causality, attribution, data quality, time lags and external influences that can affect the interpretation of impact findings

Weather conditions strongly influence crop growth, irrigation requirements, pest and disease development, and final agricultural productivity. This chapter examines the application of artificial intelligence, machine learning, and deep learning for agricultural weather forecasting and predictive analytics. It explains how historical meteorological records, satellite observations, and IoT sensor data can be integrated to develop more accurate forecasting systems. Techniques such as Long Short-Term Memory networks, attention mechanisms, ensemble learning, and probabilistic forecasting support improved prediction of complex weather patterns. The chapter connects forecasting with agricultural decision-support systems for irrigation, pest management, and crop planning. It also considers data heterogeneity, missing observations, uncertainty, and future developments such as hybrid models, federated learning, and digital twins.

1. Basic Information

Benin is situated in West Africa at inter-tropical zone between the parallels 6°30 and 12°30 North and the meridian lines 1° and 3°40 East. The Republic of Benin is limited in the north by the Republic of Niger and to the North-West by Burkina Faso, in the south by the Atlantic Ocean, in the west by Togo and in the east by the Federal Republic of Nigeria. The Republic of Benin extends over 700 km length from the Atlantic Ocean to river Niger. Its width varies from 125 km, along the coast, to 325 km, in the northern part. It covers an area of 112.622 km².

With the third General Census of the Population and Habitat in February 2002, Benin counted 6,769,914 inhabitants thereby giving an average density of 60.11 inhabitants per km². Currently the population is estimated to nearly 8 million inhabitants with a natural rate of increase of 2.8 per cent. The average densities estimated from the last census of the population vary between 16 inhabitants per km² in the department of Borgou and 322 inhabitants per km² in the department of Atlantic.

1. Basic Information

1.1. Location and Size
 
Ghana, lying between latitudes 4º 30’ to 11ºN and longitudes 1º 10’E to 3º15’W, shares common borders in the east, north and west with the Republics of Togo, Burkina Faso, and Cote d’Ivoire respectively.  The country covers a total area (including water bodies) of 238,537 square kilometres.  

1.2. Climate
 
Ghana has a tropical climate with temperatures ranging between 21ºC and 32ºC. Mean annual rainfall in Ghana is generally lower in the northern part of the country (800-900 mm) and increases southwards (2100-2200 mm) albeit a small part of the eastern coastal belt has low mean annual rainfall of 700-800 mm. Humidity figures range from 78 to 87 per cent across the country. Although Ghana cannot be described as a mountainous country, there are a number of highlands and steep escarpments in the middle portion and some parts of the northern zone. The land is generally flat with more than half of the country at an altitude of 200 m.

1. Introduction

Iran, with an area of 1648 thousand sq.kms.,  is situated in the eastern portion of the northern hemisphere, in the south west of Asia, and is considered as one of the Middle East countries. Iran is a mountainous country with a variety of climates. The average temperature and rainfall for the whole country are quoted as 18ºC and 240 mm respectively (CAPES, 1996). The country is also organized into 28 provinces. Over the past two decades, rapid rate of population growth has been a major source of concern in Islamic Republic of Iran. The population of the country passed the 60 million figures in 1993 and is projected to reach 86 million by the year 2010. In fact, the Iranian population has doubled in this period (CAPES, 1996). For example, according to the 1991 census, the female population of 15 years and above was 15 million (Anonymous, 1998). However, thanks to considerable investments and well-organized and directed national population planning program, population growth rate is now 1.5 percent in the urban and two percent in the rural areas. At the national level, the figure is 1.65 percent (CAPES, 1996).

1. GENERAL INTRODUCTION

Agriculture, as one of the most important economic sectors in Jordan, is under increasing pressure due to rising population, consumer affluence, pressure from globalization and a shrinking resource base. Previous production challenges in Jordan have been met largely through improvements in traditional agricultural inputs such as seeds and agrochemicals, but the present challenges need different solutions. Better management, which involves higher degrees of information and knowledge, is widely seen as a way to address these challenges. The potentials that ICT has to offer range from the sharing and re-use of data, research findings, lessons learned and best practices among R&D institutions to developing quick response mechanisms for agricultural and natural resources crises situations; from permitting informed decision making among the agricultural officials to sounder policy making among the legislators; from improving the extension delivery systems in the rural areas to bringing e-Commerce to the farmers.

Agricultural extension is about the application of information into knowledge and adoption, such as application of scientific research to agricultural practices through farmer training. ICT broadly defined as facilitation by electronic means the creation, storage, management and dissemination of information. Two types of ICT – old and new are practiced in extension service; the former refers to radio and TV which are low cost and require little skill to use while the latter forms of ICT include networked computers, satellite-sourced communication, wireless technology and the internet. Assume key factors explaining different ICT taken up by country are: per capita income; levels of education; the rural concentration; and dispersal of a country’s population.

The development of ICT in Jordan is fast and the Jordan’s IT capacity related to agro-information dissemination needs to be vastly improved at the local level to allow the effective horizontal transmission of information and communication between the farmers and institutions. However, technological challenges have still to be addressed such as the lack of trained communicators, poor ICT infrastructures high costs and limited access to ICTs and lack of relevant content.

Abstract

The Indian western Himalayas have wide variation in altitude, climate, soils, flora and fauna and socio-economic features. Livelihood options are limited due to small and fragmented holdings and inherent hill and mountain specificities. However, the physiographic and agro-climatic variability also offer opportunities of cultivating wide variety of profitable traditional and market oriented crops for exploiting niche advantage. Non-timber forest products play a vital role for livelihood security and demand that initiatives at local and governmental level are taken to develop and popularize technologies for collecting, processing and value adding to these products for commercial exploitation. Research and self help institutions are important in this context but strong regulatory policy framework is equally important. Further, need based and location specific trainings and demonstrations need to be organized to fill the knowledge void especially in traditional activities and emerging vocational enterprises. The national and international business concerns, engaged in exploiting natural resources such as hydro power and calcareous and limestone deposits should also engage more meaningfully in this task, under their corporate social responsibility (CSR) Livelihood generating scheme such as MNREGS should be extended to the non-conventional activities like weed eradication, management of wild (monkeys) and stray (cattle) animals that threaten livelihood security.

Abstract

Livelihood of ~80% of rural inhabitants depends upon agriculture that relies upon the prevailing environmental conditions such as water availability and temperature. If unfavorable to the crops, these conditions would impact production and productivity leading to food-insecurity. Various abiotic stresses are generated due to the physiography that includes altitude, topography, edaphic factors, water availability and ecosystem degradation. In spite of the environmental limitations, crops have survived suggesting operation of relevant adaptive mechanisms in the native species. Indeed, novel genetic mechanisms were present and these could be utilized to improve the plant productivity under stress conditions. Also there are issues on the management of abiotic stresses, which need to be addressed. The chapter presents framework and policies on sustaining agriculture production under the situations of abiotic stress to ensure production sustainability by protecting livelihood of the inhabitants. Western Himalaya was deliberately chosen as the focus for discussion.

Current and emerging animal nutrition, reproduction and health management technologies have the potential to improve efficiency of livestock production. However, the thermal stress or hyperthermia caused by elevated ambient temperature reduces feed intake, milk yield, growth rate and reproductive performance of livestock species. Livestock in tropical countries will be affected severely by the abrupt and fast-paced climate changes. The impact is not only on production traits, a number of animal species may become endangered. Many of the native livestock species still perform better under climatic stress and low-input conditions. It is necessary to catalogue the indigenous livestock genetic resources, elucidate their genetic make-up and regulation of key metabolic pathways of adaptation and productive attributes and using the inferences to develop strategies for utilizing livestock resources under climatic stress.

Abstract

The hilly regions of western Himalayas comprise of three states namely Jammu and Kashmir, Himachal Pradesh and Uttaranchal which are divided into High Altitude Temperate, High Hill Temperate and Valley Temperate zones. Through observations, trial and error, man has developed skills related to cultivation, utilization and livelihood. These were transmitted through generations and in this way, a system of traditional knowledge developed and moved forward for the benefit of the society. Food is the basic necessity for the survival of human beings. Since ancient times, various methods have been used to process and preserve foods especially in the Himalayan regions. The food habits and preparation of various dishes depend upon the availability of crops and surrounding vegetation. On the basis of the substrate used, traditional foods and beverages of Himalayan region are broadly classified as Cereal and Legume based, Milk based, Fruits and Vegetables, and others. Some of the popular traditional foods of Himalayan region are Aenkadu/Askalu, Bagpinni/ pinni, Chhangpa, Chaulai ka bhat, Kutu ki roti, Lesuwa roti, Tilkuta, Kaddu ke khwaire, Mooli ke khwaire, Sarson ki dhusi, Arbi ke sukhe danthal, Chaulai ki kheer, Ogal ka halwa. Traditional fermented foods and beverages are very popular in the tribal and rural areas of western Himalayas. Besides being source of nutrition, these fermented foods constitute staple food (Bhaturu) in larger part of western Himalayas while others are consumed during local festivals, marriages and special occasions. A variety of indigenous fermented foods and beverages available are; Kinema, Marcha, Phab, Bekanthu, Gundruk, Sinki, Soibun, Sura, Chhang, Daru, Angoori/ Kinnauri etc.Due to lack of proper scientific technology the quality of such foods especially beverages (many- a- times) is uncertain and their consumption leads to a higher incidence of fatal diseases among the consumers. This chapter briefly reviews the preparation, significance and quality of indigenous foods of Western Himalayas which offer tremendous opportunity for sustaining livelihood of the people of Himalayan region and stimulating agro-industrial development even in the developing countries, after upgrading and sustaining their quality.

Beekeeping symbolizes the biological interdependence between insects, pollination and production of seed. Honey bees have been tirelessly rendering this yeoman service to benefit human-kind since time immemorial. Beekeeping is defined as “the science and art of rearing honey bees for man’s economic benefits”. Since, honey producing bees are restricted to the genus Apis beekeeping is also called ‘Apiculture’. A suitable place selected for housing honey bee hives, equipments and related accessories is referred to as an “apiary”. The invention of movable hive with separable frames in 1851 by L.L. Langstroth gave beekeeping the impetus to flourish. Further fine-tuning of scientific rearing techniques in these movable hives helped in spreading beekeeping to the newer areas.

Honey Producing Species of Bee

About 20,000 bee species are found worldwide. However, only four species viz. the European honey bee (Apis mellifera Linnaeus), the oriental bee (A. cerana Fabricius), the dwarf bee (A. florae Fabricius), and the giant or rock bee (A. dorsata Fabricius) are commonly recognized as honey producing. Amongst these two, only A. cerana and A. mellifera are hived because these build multiple-combs in dark cavities. The other two build single comb nests in the open (Akratnakul 1987a, Ruttner 1987).

Topology building

Boolean operations

Query and model building

Customization

Introduction

At human scales, the world consists of objects, events, processes, and a background environment. Cognition is about knowledge: its acquisition, storage and retrieval, manipulation, and use by humans and other intelligent creatures. Cognition includes sensation and perception, thinking, imagery, reasoning and problem-solving, memory, learning, and language. Cognitive structures and process are part of the mind, which emerges from a brain and nervous system inside of a body that exists in a social and physical world. Spatial cognition deals with the cognition of spatial properties of the world, including location, size, distance, direction, shape, pattern, movement, and inter-object relations. GIS design will be largely influenced by spatial cognition.

Abstract

The study of computational toxicity prediction is very crucial and necessary, as it is quite time consuming and expensive to measure the toxicity via experimental techniques (Quan Liao et al., 2006). The use of computational approaches particularly to reduce the time and cost for the evaluation of the kinetic and toxic behaviour of any drug has been increased tremendously in recent time period (Richard Judson et al., 2004). Machine learning is a powerful tool to discover new complex combinatorial relationships in various in vitro and in vivo data information (Richard Judson et al., 2004) and has been successfully used in many diverse fields with numerous applications such as pharmacodynamics properties prediction (Czerminski et al., 2001; Livingstone et al., 2003), protein function prediction (Cai et al., 2003), medical decision making (Veropoulos, 2001), spam categorization (Drucker et al., 1999), detection of oil spills (Kubat et al., 1998), and speech recognition (Nuttakorn et al., 2001).

Abstract

Knowledge and communication is an important resource for agriculture and can contribute substantially to ensure food security and sustainability by creating awareness and skill development through access to information. The initial and most prominent player of knowledge delivery is public sector extension services, which from past few years, are usually criticized for their ineffective targeting, poor reach and the huge administrative cost of delivering information. Since past few years, the drastic increase in mobile penetration even in rural areas has lead to evolution of ICT-based extension services models to disseminate agriculture related information.

SYNOPSIS

We lag in nutritional awareness. The therapeutic values of plant foods, such as vegetables, fruits, grains, legumes, nuts, seeds, herbs, spices and other foods like dairy products, fluids and meats are to be brought to light. The values of important nutrients, may lead to the basis for nutritional education lacking at present. There is need to bring awareness and add to the knowledge of the younger generation. A food is something that provides nutrients. Nutrients are substances that provide: energy for activity, growth, and all functions of the body such as breathing, digesting food, and keeping warm; materials for the growth and repair of the body, and for keeping the immune system healthy.

ABSTRACT

In the recent years, the notion of ‘digital divide’ has been widely researched and has attracted much debate and speculation for its economic, social and political consequences. Existing studies reveals, the gap that exists between those who have access to ICTs and those who do not create exclusion, endanger social integration and hamper economic growth. The digital divide has many dimensions and can be categorized as global, regional and national. At national level, there is no single divide, but multiple divides: for instance; within countries, between men and women, young and elderly, rich and poor and most importantly rural and urban. The present paper is mainly focused on India and tries to explore the problem of digital divide mainly in rural-urban India. In the context of present paper, digital divide essentially means teledensity, mobile and Internet divide between the rural and urban areas. The paper reveals that obstacles such as illiteracy, lack of skills, infrastructure,  and investment in rural areas must be tackled if India is to diminish the gap of digital divide. At the government front, it should put thrust towards: connectivity provision, content creation, capacity augmentation, core technologies creation and exploitation, cost reduction, competence building, community participation and commitment to the deprived and disadvantaged which would definitely help in bridging digital divide.

Abstract

Whenever human beings come together and interact, there are bound to be conflicts. It is the struggle between individuals or groups or organizations for values, status, power or scare resources, that creates tension and frustration. It cannot be totally eliminated, it has to be managed. Positive conflicts sometimes lead to innovations or new directions of thinking in the Research and Development (R&D) environment. But negative conflicts mainly breed unproductiveness, a climate of distrust and suspicion, antagonism, and neglect of organizational goals. Conflict arises due to one of the three reasons : unacceptability, uncertainty and incomparability of alternatives. The problem of unacceptability arises when the most preferred alternative is not found to be acceptable. Uncertainty arises when the individual faces problem to select one from the alternatives. The incomparability dilemma is a situation where the decision maker does not have standards to compare alternatives. Modern managers must be equipped to deal with different types of conflict and devise strategies to resolve them. This chapter deals with conflicts at individual level, at group level or at organizational level, their resolution through negotiation or collaboration, models and methods for managing conflicts, etc in details. A healthy organization climate can unblock creative potential of its employees, streamlining and facilitating efforts for the good of the organization and its employees.

Women constitute 50% of our population. Their contribution to farming needs no emphasis as they are integral part of it. Women have developed farming in our country and contributed immensely for growth and maintenance of agriculture as a whole. But majority of them are not fully aware of sustainable agriculture in scientific terms although they practice it. Surveys and observations reveal that women are in favor of traditional agriculture and feel that traditional farming is more sustainable than the present one.

Introduction
Remote sensing is the art and science of recording, measuring, and analyzing information about a phenomenon from a distance. Humans with the aid of their eyes, noses, and ears are constantly seeing, smelling, and hearing things from a distance as they move through an environment. Thus, humans are naturally designed to be remote sensors. In order to study large areas of the Earth’s surface geographers use devices known as remote sensors. These sensors are mounted on platforms such as helicopters, planes, and satellites that make it possible for the sensors to observe the Earth from above.

Definition
Remote sensing can be defined as any process whereby information is gathered about an object, area or phenomenon without being in contact with it. Our eyes are an excellent example of a remote sensing device. We are able to gather information about our surroundings by gauging the amount and nature of the reflectance of visible light energy from some external source (such as the sun or a light bulb) as it reflects off objects in our field of view. Contrast this with a thermometer, which must be in contact with the phenomenon it measures, and thus is not a remote sensing device.

Introduction

Groundnut (Arachis hypogaea L.) commonly called as Poor man’s cashew, is the 6^th most important oil seed crop in the world. It contains 48-50% oil, 26-28% protein and 11-27% carbohydrates. Groundnut is grown on 26.4 million hectare worldwide, with a total production of 37.1 million metric tons and an average productivity of 1.4 metric tons/ha. Developing countries constitute 97% of the global area and 94% of the global production of this crop (FAO, 2011). The production of groundnut is concentrated in Asia and Africa, where the crop is grown mostly by smallholder farmers under rain-fed conditions with limited inputs. Groundnuts (peanuts) are popularly used as seed oil in India. Since, they are obtained from the ground, they are called as groundnuts and also known as ‘Mungfali’ in Hindi, ‘Palleelu or Veru sanaga’ in Telugu, ‘Kadalai’ in Tamil, ‘Nilakkadala’ in Malayalam, ‘Kadale kaayi’ in Kannada, ‘Singdana’ in Gujarati and ‘Shengdaane’ in Marathi. Groundnuts are easily available round the year and almost everywhere in India. Groundnuts are also taken as snacks in many households especially in India. In reality, groundnuts are actually legumes. Since, they have all the properties of nuts like almonds, cashew nuts, etc., these are also included in the family of nuts.

Groundnut is the major oil seed of India. It accounts for 25% of total oil produced in India. Annual production of groundnut is around 9690 thousand tones. As the crop is grown in rainfed conditions, production and productivity are highly vulnerable to rainfall and exhibit huge fluctuation between the years. In India, groundnuts are produced both during Kharif (75%) and Rabi seasons (25%). Major production catchments of groundnut are located in Gujarat holding a share of 50.77% of total groundnut production, Andhra Pradesh holding a second place (12.69%) followed by Tamil Nadu (9.91%). Following are the top groundnut producing states of India (Table 1).

Introduction

Technological advances of the past two decades have profoundly reshaped and enhanced all aspects of medical research and practice. Concepts, methodologies, tools, and applications of medical informatics with the latest technique and approaches are essential for every one pursuing in the medical IT field. Improvements in healthcare delivery in recent years are rooted in the continued industry-wide investment in information technology and the expanding role of medical informatics. The main goal of this chapter is to collate and provide innovative and creative ideas so far published on healthcare in one article for use by the researchers, practitioners and other related with health care system for improving communication environments in health and to explore all new technologies in medical informatics and health care delivery systems.

Medical Informatics can be defined as a discipline concerned with all aspects of understanding and promoting the effective organization, analysis, management, and use of information in health care (American Medical Informatics Association, 2007). In recent years, medical informatics has become a well-recognized branch of medicine.

1. INTRODUCTION

The agricultural paradigm in the developing world including Iran will have to be recast to take advantage of knowledge availability to achieve multiple goals of income, food, jobs, etc. Although, many farming communities in developing countries need timely expert advices to make them more productive and competitive, they are still facing a multitude of problems to maximize agricultural productivity. In spite of successful and promising researches conducted on new agricultural practices, majority of the farmers are not getting upper-bound yield due to several reasons. One of them is that scientific agricultural advice is not reaching the farming community in a timely manner. A wide information gap exists between research and practice.

To cope with this problem different countries have taken various measures. What is common in the extension systems of developing countries is that in a backdrop of rapid organizational and social changes in agriculture, new hardware and software devices have to be applied for better responsiveness to increasing farmers demand for timely and accurate information. At the pace of recent progress in ICT, within a decade it will be possible to provide instantaneous connectivity to millions of people, enabling mass customization and personalized services (Reddy and Ankaiah, 2005). Data mining technology can be used to extract useful knowledge from huge database and simulation technology can be used to predict in to the future (Wiederhold, 2002).

Technical Knowledge (ITK) based special inputs / Techniques for plant growth

Growth of the plant has for long been believed to be due to the minerals absorbed from the soil and the food materials synthesized by the palnt. It is recognized that growth of the plant is very much regulated by certain chemical substances known as growth regulators. These substances are formed in one tissue or organ of the plant and are then transported to other sites where they produce specific effects on growth and development. These materials can be produced organically for improving plant growth.

3.1. Growth Promoting Substances

Are those organic solutions (like Panchagavya, Buttermilk & Coconut milk slurry, Amudhakaraisal) prepared using the plant and animal products, decayed fruit and other agricultural wastes. For example

The aim of the research is to make a study of the role of Internet as a medium of interaction, its impact on the society from the social and cultural point of view. Keeping these objectives in mind, the researcher has referred to contemporary researches, books and articles available in the area. The researcher admits that the number of studies available in the area is very much dispersed. In the line of the research questions formulated for conducting the study, the researcher has explored the relevant studies undertaken so far by different researchers.

1. Father of agronomy is -Peter Decresenzi.
2. Dr. Biwant Rajis the founder of Relay cropping.
3. The Indian Institute of Farming System Research is located at - Modipuram, Meerut, U.P.
4. Scientific study of mixed cropping was firstly done by -La-Flitze (1928).
5. Relay cropping concept was derived from -Relay race.
6. Natural Resource Management is an example of Sustainable Agriculture.
7. Cropping System is a component of -Farming System.

An Entrepreneur is an individual who creates a new business, bearing most of the risks and enjoying most of the rewards. The process of setting up a business is known as entrepreneurship. An Entrepreneur is commonly seen as an innovator, a source of new ideas, goods, services and business procedures. Entrepreneurship plays a key role in any economy by using the skills and initiative necessary to anticipate needs and bringing good new ideas to market.

2.1 Simple Random Sampling

The simplest and common most method of sampling is simple random sampling. In this procedure, the sample is drawn unit by unit with equal probability of selection for each unit at each draw. It is sometimes referred to as unrestricted random sampling.

2.1.1 Definition

“A sampling procedure which gives equal chance to all possible samples each of size n which can be drawn from a population of size N, is called simple random sampling.”

Definition of Disaster

A disaster can be defined as a sudden or catastrophic event that causes significant damage, destruction, and disruption to human life, property, or the environment. Disasters can be natural, such as earthquakes, hurricanes, floods, wildfires, or they can be human-made, including industrial accidents, terrorist attacks, or technological failures.

Disasters often result in the loss of lives, injuries, displacement of people, infrastructure damage, and the interruption of essential services like electricity, water, and communication systems. They can have long-lasting impacts on communities, economies, and the environment.

Governments, organizations, and communities implement disaster preparedness, response, and recovery strategies to mitigate the effects of disasters, protect lives and property, and facilitate the rebuilding and restoration of affected areas.

Results and discussion: concept Result is the outcome, consequences or conclusion of a problem, probe or experiment organized after a period of time. This conclusion can be one result, multiple results or no result as such. The length of time taken to find a result can vary from less than a second to many years. In this chapter, the result of the Research has been elaborated and also discussed later. The purpose of the discussion/revelation is to interpret and describe the significance of our findings in light of what was already known about the research problem being investigated, and to explain any new understanding or insights about the problem after we have taken the findings into consideration. The discussion will always connect to the introduction by way of the research questions or hypothesis we posed and the literature we reviewed, but it does not simply repeat or rearrange the introduction and the discussion always explain how our study has moved towards the research problem.

In this chapter, the study’s findings are presented in a structured manner, accompanied by a discussion based on the analysis. The study aimed to present its findings in alignment with its objectives. Towards the end of this chapter, connections between the findings are established, explanations are provided, and an effort is made to uncover the underlying causes. The results and their corresponding discussion are organized according to the specific objectives of the study.

Result: Table 6.1 presents the distribution of 16 independent variables (x1-x16 ) and 3 dependent variables (y1 y3 ) in terms of their Minimum, Maximum, Mean, Variance, Standard deviation, and Coefficient of variation.

According to the study the maximum value for the independent variable Age at survey (x1 ) is 46.00, and minimum is 25.00. The study’s overall distribution was determined to have a mean of 32.938 with a variance of 22.895 and standard deviation 4.785. The high level of consistency is indicated by the variable’s coefficient of variation, which is 14.527%.

According to the study the maximum value for the independent variable Marital status (x2 ) is 18.00 and minimum is 0.00. The study’s overall distribution was determined to have a mean of 3.838 with a variance of 15.783 and standard deviation 3.973. The low level of consistency is indicated by the variable’s coefficient of variation, which is 103.527%.

1. Forecasting Rain and Frost

i. Behavior of Ants and Goats:

• Ants: When ants come out of their nest carrying their pupae, it indicates that rain will come soon.

• Goats: Goats can sense approaching rain and signal it 2 to 3 days in advance through behavioral changes. They change their usual resting places, show little interest in taking food or water, and bawl and shout throughout the day.

2. Tree Fruiting Patterns:

• Neem Tree (Azadirachta indica): If the neem tree bears plenty of fruit.

• Baval Tree (Acacia nilotica): If the baval tree produces plenty of pods.

• These observations suggest that the total rainfall for the monsoon will be high.

Abstract
Every nation needs an effective food legislation and food control service to promote a safe, honestly presented food supply, and to protect consumers from contaminated, adulterated, and spoiled foods. The principles to be included in food safety and legislations are primarily inspection, enforcement, biological and chemical contaminants, packaging and labelling, and food trade in local and overseas market. Harmonization of Food Law on the international level is a worldwide trend from the late twentieth century. In India AGMARK and FSSAI are sole regulatory authority for food production and marketing. International laws and regulations play a vital role in trade and commerce. International regulatory bodies include CODEX, EU, HALAL, USFDA, FAO and WTO. This chapter deals with international and national food safety regulation and legislations with regulatory framework in India and implications on international trade.
Keywords: Food Safety, Regulations, Trade, Certification, Legislation, Food Security.

11.1 Introduction
Having explored the sophisticated statistical methods for analyzing meteorological data and the powerful visualization techniques for interpreting it, we now turn our attention to the very engine that drives modern weather forecasting: Numerical Weather Prediction (NWP). This chapter delves into the intricate science and technology behind predicting the future state of them atmosphere using mathematical models and supercomputers. The challenge of weather forecasting is immense. The Earth’s atmosphere is a chaotic, non-linear fluid system, constantly in motion, with interactions occurring across vast scales, from global circulation patterns to microscopic cloud droplets. For centuries, weather prediction relied heavily on empirical rules, human experience, and the interpretation of synoptic charts. While these methods achieved some success, they were inherently limited in their ability to accurately forecast beyond a day or two, especially for complex or rapidly evolving phenomena.
The visionary idea of predicting weather mathematically was first conceived by Lewis Fry Richardson in the early 20th century. He envisioned solving the fundamental equations governing atmospheric behavior using numerical methods. However, the sheer volume of calculations required made his manual attempts impractical, famously taking him weeks to produce a 6-hour forecast that had already passed. It was only with the advent of the electronic computer in the mid-20th century that Richardson’s dream began to materialize, marking the birth of modern NWP (Fig. 11.1).

    Introduction
Over 60% of the population in India is occupied in agriculture and associated fields, making it one of the world’s most agriculturally dense nations. In India, the agricultural sector accounts for 18.6% of the country’s GDP. Almost all crops, including cereals, vegetables, and cash crops, are grown in India (Vanitha et al., 2013; APEDA, 2020). From the beginning of time, several pests, including weeds, insects, plant diseases, and nematodes, have had a detrimental effect on agriculture. As a result, crop losses are estimated to be 45%, or over 290 billion, annually (Aneja et al., 2016). Regardless of tactics, illnesses and pests significantly contribute to agricultural losses. Diseases, weeds, and insects hinder plant growth and lower plant density, eventually lowering the food supply. The Entomological Society of America (ESA) has released a policy statement stating that invasive insects cost more than $2.5 billion to control and cost $18 billion per year in economic losses to pastures, crops, lawns, and forests (The Not-So-Hidden Dangers of Invasive Species, 2018). Invasive crop pests continue to threaten food security because of the intricate relationships between human migration, international trade, climate change, and evolving agricultural techniques. Several of these variables also contribute to the sharp rise of urban pests and disease-carrying insects. The primary method of insect pest management has been chemical pesticides. Nonetheless, an increasing call for less agricultural chemical use due to worries about the environment, human health, and pesticide resistance ignites interest in novel ways.
Conventional chemical pesticides have raised food production and harmed non-target animals and the ecosystem. To prevent and mitigate pest-induced crop losses in storage (post-harvest losses) and in the field (pre-harvest losses). This has been accomplished through the development of numerous crop protection techniques. In the past few decades, chemical pesticides have been utilized to reduce food losses induced by insect pests; however, this has decreased agricultural production. Moreover, volatile pesticide residues have periodically raised questions about food safety among domestic customers and presented challenges to export crops’ ability to trade. Insecticides can cause physical or biological harm to pests. Certain insecticides are applied topically or indirectly to plants those insects may consume. Pesticides harm nature, soil, and human well-being, so regulations and rules governing their use are becoming more stringent. New technology and products to control and prevent pests are desperately needed. In modern agriculture, various methods are now available, including biological control, insect behavior, genetic modification, microbial pesticides and plant immunization of pest populations.

Migration reflects the patterns of societal transformations. From a historical perspective, throughout the process of industrialization and economic advancement, individuals relocate from agricultural areas to industrial sectors, from rural areas to urban centres, from one urban centre to another, and from one nation to another. Currently, Asia, Africa, and Latin America are seeing significant technical advancements, leading to a substantial movement from rural to urban areas in these countries. Economists research migration because to its impact on the availability of skilled and semi-skilled workers, the growth of industries and commerce, and the resulting changes in the employment patterns of migrants. The formulation of economic policy is closely intertwined with the phenomenon of migration, since migration significantly impacts a country’s economic and social progress. The study of migration is crucial due to its impact on population dynamics, including population size, growth rate, and demographic structure, as determined by birth rate, death rate, and migration. Furthermore, migration significantly influences the geographical spread of the population and the availability of workforce inside the nation. Therefore, the analysis of occupational migration is valuable in developing economic and other governmental policies, as well as informing the work of economists, sociologists, legislators, planners, and demographers
Current ideas on labour migration
Overview
Since ancient times, humans have struggled to meet their fundamental needs for food, housing, and other necessities. They naturally gravitate toward personal development. Human life has always involved migration in one form or another. believes that migration is a permanent or semi-permanent shift in residence, regardless of the length of the journey (Lee, 1966). People have been moving throughout the world for a variety of reasons since prehistoric times, both within and between regions. In the past, geographical elements such the atmosphere, soil fertility, native vegetation, etc., had a major impact

Introduction 
A system approach to understand the soil-plant-water continuum fundamentally shifts our perspective from viewing these elements in isolation to recognizing them as an intricately woven, dynamic whole. It’s about appreciating that every change in one part of this natural tapestry—be it the soil, the plant, or the water itself—reverberates through the others, creating a cascade of interconnected effects. This holistic lens allows us to dissect the continuous exchange of water and energy, unraveling the complex feedback loops and emergent behaviors that characterize this vital agricultural system. Instead of merely tracking individual inputs and outputs, a systems view compels us to comprehend how these components influence each other over time, leading to a far more nuanced understanding of their collective behavior. At the heart of this continuum lie three primary, yet inseparable, components: the soil, the plant, and the water itself, all profoundly influenced by the atmosphere. The soil acts as both a foundational anchor and a dynamic reservoir. Its very composition—the proportion of sand, silt, and clay, its structure, and its organic matter content—dictates how readily water infiltrates, how much it can hold against the pull of gravity, and how quickly it can release water to plant roots. Processes like infiltration, percolation, and capillary rise describe water’s journey within the soil matrix, while evaporation from the soil surface represents a significant loss pathway. Crucially, the soil also serves as the medium for nutrient availability, with water acting as the solvent that transports these vital elements to the roots. The plant, in turn, is the primary biological conduit for water’s journey from the soil back to the atmosphere. It actively absorbs water through its roots, moving it upward through the xylem to the leaves, where it is transpired through tiny pores called stomata. This transpiration process is not merely a loss; it’s the driving force behind the plant’s physiological engine, facilitating

The transformation of communities through collective action requires systematic approaches that can navigate the complexities of human behaviour, social structures, and environmental contexts. Community mobilization, while grounded in universal principles of participation and empowerment, manifests differently across various settings and circumstances, necessitating flexible yet structured processes that can adapt to local conditions while maintaining effectiveness. This chapter examines the intricate processes and diverse models that guide community mobilization efforts, with particular attention to rural contexts where unique challenges and opportunities shape the mobilization landscape

Biomedical signals provide valuable information about physiological conditions and support continuous health monitoring. This chapter introduces ECG, EEG, EMG, PPG, respiratory and blood-pressure signals and examines the challenges associated with their acquisition and interpretation. It discusses noise removal, filtering, normalization, resampling and artifact correction before presenting time-domain, frequency-domain, time–frequency, wavelet and nonlinear feature-extraction methods. Feature selection and dimensionality reduction are considered in relation to model accuracy and clinical interpretability. The chapter also explores machine learning, deep learning and hybrid approaches through applications involving arrhythmia detection, seizure prediction and wearable cardiovascular monitoring, highlighting their importance in intelligent and personalized healthcare.

Foundation architectures provide the technological basis for modern artificial intelligence systems and enable models to generalize across diverse tasks and modalities. This chapter examines the evolution of neural architectures that ultimately led to the dominance of the Transformer in contemporary language and multimodal AI. It begins with early neural networks, convolutional neural networks and recurrent neural networks before introducing attention mechanisms and the Transformer architecture. Particular attention is given to the major components of Transformers, including self-attention, multi-head attention, positional encoding and feedforward layers. Encoder, decoder and encoder–decoder configurations are examined through influential models such as BERT and GPT. The chapter further considers Vision Transformers and CLIP, demonstrating the extension of Transformer principles beyond natural language processing. At the same time, limitations such as computational complexity, memory requirements and long-context processing are discussed. Alternative approaches, including state-space models such as Mamba, efficient attention mechanisms, hierarchical architectures and Mixture-of-Experts models, are also explored as promising directions for scalable, efficient and adaptive AI.