eChapters

A literature review is an organized, in-depth examination of books, journals, and research papers related to a particular subject that serves as a foundation of knowledge. By pointing out gaps in the present body of knowledge, literature reviews aim to identify and evaluate the body of existing research on a certain subject in order to support your own study. This inquiry needs to include an explanation, synopsis, and critical assessment of previous studies pertaining to the research challenge. It should also contribute to the body of knowledge on the subject and show how your findings will fit into a broader body of knowledge. Your research goal should be guided by the critical examination of the most recent research on the subject provided by a literature review. This is not the same as a book review or an annotated bibliography, which are research instruments with quite distinct goals and purposes. Writing a process document is essential to a successful literature review.
Purpose
A literature review’s objectives are to:
• Offer a solid foundation of information on the subject.
• Locate areas of earlier study to avoid repetition and to acknowledge the contributions of other experts.
• Determine the need for further research (include evidence to support your findings).
• Determine how one piece relates to the other and to the theme in the context of both.
• Set your own research in the framework of previously published works that argue for the necessity for further research.

Water system is considered an Arti?cial usage of the water on the dirt utilizing various strategies like siphons, cylinders and showers. Typically, the requirement for water system shows up where the precipitation is unpredictable, in dry times, or where lack of hydration is customary. An excessive number of water system frameworks are accessible with various sorts as indicated by the Climate of the dirt. The water utilized in water system has numerous assets, like underground water, through wells or springs; the surface water, from lakes, streams; or other a few sources, for instance, the treated wastewater or desalinated seawater. In this way, farmers need to save and safeguard their Agriculture water sources by limiting the capability of diseases. Since with any groundwater extraction, clients of water system water should be mindful so as not to deplete groundwater out with a rate more prominent than it is being recovered. There are two strategies of current water system systems, the conventional water system procedures and the Smart water system philosophies. Water system is like surface water system, trickle water system and sprinkler water system. Later on, a few extreme and confounded issues will be met by inundated agriculture. An illustration of a signi?cant issue is the low efficiency of the water assets for water system. An important safe guess is that over 40% of the diverted water system water is spent before at the level of the ranch, either through profound permeation or at the surface spillover. Nonetheless, frequently these misfortunes address botched open doors for water, as they keep water from showing up at the downstream redirections. One of the most noticeable coming issues is the expansion of various water prerequisites assets, for example, manufactural and metropolitan requirements. These are utilized to give water assets a higher worth, so as a result, researchers favor concentrating entirely on rehearses with a high inefficient rate. s worldwide populace is expanding quickly, rural efficiency in drylands needs improvement to fulfill food security needs. Subsequently, taking on Precision water system approaches is a suitable choice to more readily use the accessible water assets and further develop water efficiency in drylands. Water shortage has become one of the basic issues and undermines the supportable improvement

Agriculture addresses the essential food wellspring of the world, and it has been confronting serious difficulties because of the rising interest for food items, sanitation, and security worries as well as calls for ecological insurance, water conservation, and maintainability. This improvement is anticipated to go on since the total populace is assessed to reach 9.7 billion by 2050. Since farming comprises the most noticeable illustration of water utilization around the world, it is normal that food interest and water utilization will decisively increment within a reasonable timeframe. Moreover, the rising utilization of composts and pesticides combined with the increase of cultivating exercises could prompt future ecological difficulties. Essentially, arable land is restricted, and the quantity of farmers is diminishing around the world. These difficulties highlight the requirement for imaginative and practical cultivating arrangements.
Consolidating novel innovations has been distinguished as a promising answer for address these difficulties. Brilliant cultivating and Precision farming have arisen because of such discussions. The previous is an overall idea for information communication technologies (ICT) and other state of the art developments in cultivating exercises to build productivity and viability. The last option centers around site-explicit administration in which the land is separated into homogeneous parts, and each part gets the specific measure of agricultural contribution for crop yield enhancement through original advances. Unmistakable advances that certainly stand out in this field incorporate Wireless Sensor Networks (WSNs), the Internet of Things (IoT), artificial intelligence (AI) techniques, including machine learning and deep learning.
Notwithstanding the previously mentioned innovations, remote detecting has been viewed as a mechanical device with high potential to work on savvy and Precision farming. Satellites, human-maintained airplane, and robots are well known remote-detecting advances. Drones, popularly known as Unmanned

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

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

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

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

Journal Citation Reports (JCR) and SCImago Journal Rank (SJR) are widely used metrics for evaluating journal impact. While JCR is based on Web of Science and emphasizes high-impact journals, SJR uses Scopus data, offering broader geographic and disciplinary coverage. This chapter evaluates their relative strengths and weaknesses, focusing on their applicability across disciplines and geographies. Multiple trends also impact research landscapes across the globe (Fig. 3.1).
Comprehensive tables provide a comparative overview of which metric is more suitable for various disciplines and global regions. The assessment of academic journals plays a critical role in research evaluation, academic promotions, and funding decisions. Two prominent journal-ranking systems, JCR and SJR, serve as benchmarks for these purposes. JCR, managed by Clarivate Analytics, primarily focuses on citation frequency over a two-year window. Conversely, SJR, developed by SCImago using Scopus data, incorporates a prestige-weighted citation approach over a three-year period (Fig. 3.2). Several of our Indian Scientific Journals are not covered by JCR. As more than 80 per cent Journals are from Europe and North America. The CLARIVATE covers only few Indian Journals most of which are published by Central Government Agencies

Agriculture has long served as the backbone of human civilization, enabling societies to grow and prosper. For generations, farmers have relied on experience, traditional practices, and historical weather data to inform decisions about crop cultivation and livestock management. Yet these conventional methods often left operations vulnerable to unpredictable environmental conditions. Today, the integration of the Internet of Things (IoT) is transforming agriculture by shifting the approach from reactive management to proactive, data-driven decision making. Modern IoT systems deploy a network of interconnected sensors that continuously capture critical environmental parameters such as soil moisture, temperature, humidity, light intensity, and nutrient levels. These sensors provide granular, real-time data that is transmitted to centralized analytics platforms where it can be processed and visualized. The resulting insights empower farmers, aquaculturists, and animal husbandry professionals to optimize every aspect of their operations — enhancing yields, reducing waste, and increasing sustainability. This chapter explores the deployment and impact of IoT in agricultural and allied systems. It provides detailed technical discussions on sensor networks, communication protocols, and power management; illustrates how real-time data integration with advanced analytics transforms decision making; and presents in-depth case studies from initiatives such as John Deere’s precision agriculture systems, Microsoft FarmBeats, and regional projects like SmartAgriHubs. Moreover, the chapter delves into the formidable challenges of IoT deployment, including those faced by underdeveloped regions—and concludes with a look at emerging trends and a synthesis of the future vision for agriculture.
6.1 The Role of IoT in Modern Agriculture
6.1.1 Revolutionizing Data Collection
The most significant impact of IoT in agriculture is its transformation of data collection. Traditional methods relied on periodic field observations, manual sampling, and regional weather reports that provided only a snapshot of environmental conditions. In contrast, IoT devices continuously monitor the microclimate across a farm. With sensors distributed throughout fields, livestock facilities, and aquaculture systems, farmers can now capture real-time data on temperature, humidity, soil moisture, light intensity, and more (Fig.6.1).

Regenerative agriculture is a transformative approach to farming that prioritizes soil health, biodiversity, and ecosystem services, while also increasing crop yields and promoting sustainable agricultural practices. This holistic method of farming is designed to regenerate the health of the entire ecosystem, rather than just focusing on maximizing food production alone. By adopting regenerative agriculture practices, farmers can improve soil fertility, enhance water quality, and promote biodiversity, ultimately leading to more resilient and productive farming systems. Regenerative agriculture involves being highly attentive to the needs of the soil, crops, and ecosystem as a whole. Alert farming requires farmers to be vigilant and responsive to changes in weather patterns, soil moisture levels, and crop health, making adjustments as needed to optimize crop yields and minimize environmental impact. This approach involves using advanced technologies, such as precision agriculture and data analytics, to monitor and manage farm operations in real-time, enabling farmers to make data-driven decisions and respond quickly to emerging challenges. The benefits of regenerative agriculture are numerous. Not only can it improve crop yields and promote sustainable agricultural practices, but it can also enhance ecosystem services, support biodiversity, and contribute to climate change mitigation efforts. By adopting regenerative agriculture practices, farmers can play a critical role in creating a more sustainable food system, one that prioritizes the health of both people and the planet .
4.1 Climate Smart Agriculture (CSA) versus Regenerative Agriculture (RA)
Climate-Smart Agriculture (CSA) and Regenerative Agriculture (RA) are two approaches (Fig. 4.1) to sustainable agriculture that share some similarities, but also have distinct differences

This concluding chapter, “The Future ECG: Predicting a Vibrant Agricultural Heartbeat,” therefore adopts a global lens, acknowledging that the quest for accurate and timely monsoon forecasts is a shared endeavor with worldwide implications. Just as the electrocardiogram serves as a universal diagnostic tool for assessing the health of the human heart, the advancement of monsoon forecasting represents a collective effort to understand and predict the vital “ECG” of agriculture in all monsoon-dependent regions. Throughout this book, we have examined the scientific principles and evolving technologies underpinning monsoon prediction. In this final exploration, we will broaden our perspective to consider how the future of this field will impact agricultural practices and livelihoods on a global scale. The innovations in satellite technology, climate modeling, artificial intelligence, and data analytics that we’ve discussed in the context of the Indian monsoon hold immense potential for enhancing forecasting capabilities in every corner of the world where farmers rely on these seasonal rains. Imagine a future where international collaboration fosters the sharing of data and expertise, leading to a more comprehensive understanding of global monsoon dynamics. Farmers in diverse monsoon-affected regions could benefit from increasingly precise and localized forecasts, empowering them to make informed decisions about planting, irrigation, pest management, and harvesting. This enhanced predictability promises not only to improve yields and reduce risks but also to contribute to greater resilience against the impacts of climate change, which are increasingly affecting monsoon patterns worldwide. “The Future ECG” in this global context signifies a hopeful outlook, one where continued scientific progress translates into a more secure and prosperous future for all those whose lives and livelihoods are intricately linked to the monsoons. It is a vision of a globally vibrant agricultural heartbeat, sustained by the everevolving science of forecasting and the collective commitment to supporting monsoon-dependent communities worldwide.

Strategic partnerships and productive outreach play a crucial role for new technologies to successfully reach the market, drive growth, and strengthen a country’s global competitiveness, Outreach programs have various benefits, ranging from technology transfer awareness, communication of stakeholders, industry, government, to academy partnership promotions. These efforts help in establishing connections, communicating opportunities, and encouraging active engagement from key stakeholders. Outreach activities can be performed under two broad categories:
1. Written communication includes all communication which can be viewed, shared, or made accessible for a set of people in a passive manner. This includes reports, newsletters, guidance, and online content which provide insights of worth for stakeholders.
2. Human outreach includes all direct communication like c face-to-face or verbal form communication it included conferences, conventions, workshops, seminars and personal communication with industry leaders.
The type of outreach creates stronger, more personal connections. An effective outreach strategy usually combines both human and written outreach efforts. By following this strategy TTOs can expand and strengthen partnerships, and make it easier for research-led innovations to get transition from lab to market more effectively. This chapter explores key outreach models, strategic networking approaches, and proven practices for building impactful partnerships in technology transfer.

8.1 Key legal statutes and regulatory foundations
Various policy measures were also undertaken by the Government of India in due course of time. The Government of India enacted four science policies after gaining independence, i.e. Scientific Policy Resolution (1958), Technology Policy Statement (1983), Science and Technology Policy (2003) and Science Technology and Innovation Policy (2013). The 1983 Technology Policy Statement possessed a simple goal of creating indigenous technology and boosting efficient absorption and adaptation of imported technologies suited to the nation’s priorities and. The Technology Policy Statement of 1983 was followed up through the establishment of the Technology Information Forecasting and Assessment Council (TIFAC), an autonomous organization entirely owned by the Government of India under the Department of Science and Technology during 1988. TIFAC also offers some funding and supports development and commercialization of technologies through the home-grown technology scheme, among its other operations. The Technology Development Board Act (1995) was also a significant policy move of the government in the same direction. Also in recent times, the Government of India also unveiled its own National IPR Policy 2016 with the motto cum slogan “Creative India, Innovative India”. In addition, the policy is aligned to a number of other schemes of the Indian Government like “Make in India”, “Atal Innovation Mission”, “Start-Up India” and “Stand-Up India”, all aimed at encouraging creativity, innovation and entrepreneurship in the nation.

13.1 Challenges in the technology transfer process
Technology transfer (TT) is more complex and involves the complex interrelationships between universities, research institutes, the private sector, the state, and society. Though TT is all about translating research findings into purposeful solutions that can support the economy and society, it is not a linear process. The challenges can be described as legal, institutional, cultural, financial, policy, and human resource. All this is accompanied by bottlenecks that inhibit or decelerate the diffusion of promising technologies.
13.1.1 Legal and intellectual property challenges
The vital component of technology transfer is the proper management of intellectual property (IP), which is often the most challenging aspect.
• Ambiguities in IP ownership: During multi-institutional or shared funder research, ownership is quite controversial. As an example, when a government lab and a university collaborate on the project, there is ambiguity as to who would have the ultimate licensing authority over the technology: the university, the lab, or the funding agency. This kind of fight hinders commercialisation and scares off industry partners.
• Lengthy patent filing and prosecution timelines: In several jurisdictions, the filings, examination, and granting of a patent may take between three and five years or more. Such delay is not compatible with the rapid cycle of invention in other fields such as ICT or biotechnology, where patent claims may become invalid before they are granted.
• High costs of IP protection: International direct patenting, like under the Patent Cooperation Treaty (PCT), is costly and involves legal services, fees, and upkeep costs. These costs are excessively high, which cannot be easily compensated by universities and startups, and where technologies are not secured or limited to local markets.

The analysis of community mobilization in natural farming requires a systematic framework that captures the complex dynamics of agricultural transformation, social change, and community empowerment. This framework serves as a lens through which to examine successful cases of natural farming adoption while identifying the critical factors that enable communities to transition from conventional agriculture to sustainable practices. Understanding these dynamics is essential for replicating successful models and scaling natural farming initiatives across diverse contexts and geographies. Contextual analysis forms the foundation of any case study framework, requiring comprehensive understanding of the social, economic, environmental, and political conditions that influence community receptivity to natural farming practices. This includes examination of agricultural history, farming traditions, economic pressures, environmental challenges, and existing social structures that shape how communities respond to new agricultural app

The term institutional support refers to provision of economic and social environment for industry and business. Institutional supports are needed in all the three stages of promotion of any entrepreneur i.e. inception stage, operational stage and expansion or diversification stage. It helps in creating awareness, capacity building, hand holding, incubation, mentorship etc. by means of financial support and policy advice. There are three dimensions of Institutional support, viz. Central Government, State Government and Non- government support system.
Central Government institutions providing support for entrepreneurship
development
a) Ministry of Micro, Small and Medium Enterprises
Here are some key institutions under the Ministry of MSME working towards entrepreneurship.
1. Coir Board
Established in 1954under coir industry act 1954
Location: Kochi
Objectives
• Promotes the coir (Coconut) industry and supports coir-based products.
• Provides training, research, and development support.
2. The Small-Scale Industries Board
• It is an advisory body in India aimed at promoting and supporting small-scale industries (SSIs). Year of Establishment: 1954.
• Location: New Delhi
Objectives
• Advise the government on policies related to the development and promotion of small-scale industries.

Crop diseases are a significant threat to agricultural production worldwide, posing a major challenge to food security, economic stability, and environmental sustainability. These diseases, caused by a variety of pathogens including fungi, bacteria, viruses, and nematodes, can have devastating effects on crop yields, quality, and overall plant health. The causes of crop diseases are complex and multifaceted, involving a combination of factors such as environmental conditions, plant susceptibility, and pathogen characteristics. Climate change, soil degradation, and water scarcity can all contribute to an increased risk of crop disease outbreaks. Additionally, the widespread use of monoculture farming practices, which involve the cultivation of a single crop species over large areas, can lead to a loss of genetic diversity and increased vulnerability to disease. The consequences of crop diseases are far-reaching and can have significant impacts on agricultural production, food security, and the environment. According to the Food and Agriculture Organization (FAO) of the United Nations, an estimated 20-30% of global crop production is lost to pests and diseases each year, with crop diseases accounting for a significant proportion of these losses. This translates to billions of dollars in economic losses and millions of tonnes of food lost, exacerbating food insecurity and poverty, particularly in developing countries. In addition to the economic and food security impacts, crop diseases can also have significant environmental consequences. The use of chemical pesticides and fungicides to control disease outbreaks can pollute soil, air, and water, harming beneficial organisms and ecosystems. Furthermore, the development of pesticideresistant pathogens can lead to the use of even more toxic chemicals, perpetuating a cycle of environmental degradation. In this chapter, we will explore the causes and consequences of crop diseases in greater detail, examining the complex interplay of factors that contribute to disease outbreaks and the impacts of these outbreaks on agricultural production, food security, and the environment. We will also discuss strategies for managing and controlling crop diseases, including the use of resistant crop varieties, integrated disease management (IDM) practices, and sustainable agriculture approaches.
3.1 Symptoms of Crop Disease
Crop disease refers to any abnormal condition or disorder that affects the health and productivity of crops, including plants, trees, and other vegetation.

Programme evaluation requires appropriate frameworks that can connect programme resources and activities with measurable learning, behavioural and developmental outcomes. This chapter presents two important tools for agricultural extension evaluation: Bennett’s Hierarchy of Evaluation and the Logical Framework Approach (LFA). Bennett’s Hierarchy provides a structured progression from programme inputs and activities to participation, learning, behavioural change and ultimate social, economic and environmental results. Its particular value in agricultural extension lies in linking educational interventions with observable changes among farmers and communities. The chapter explains its conceptual foundation, seven levels, applications, advantages and limitations. The Logical Framework Approach is introduced as a systematic tool for programme planning, monitoring and evaluation. It organizes programme goals, purposes, outputs and activities within a logical results framework and incorporates objectively verifiable indicators, means of verification and assumptions. The chapter also discusses participatory logical frameworks, Results-Based Management, Outcome Mapping, Theory of Change, Goal-Oriented Project Planning and Objectives-Oriented Project Planning, thereby providing complementary approaches for designing and evaluating development programmes

Agriculture faces increasing pressure from population growth, climate change, resource scarcity, land degradation, water shortages, and growing food demand. This chapter examines the major global challenges affecting agricultural productivity and food security. Climate variability, extreme weather events, declining natural resources, and changing pest and disease patterns create substantial risks for farming systems. The chapter discusses sustainable and climate-smart agricultural approaches for improving resilience and resource-use efficiency. It also highlights the contribution of artificial intelligence, precision agriculture, biotechnology, remote sensing, and digital technologies in addressing these challenges. Policy support, research investment, institutional cooperation, and equitable access to technology are emphasized for sustainable agricultural development

India over several millenniums has been the treasure land of biological wealth, intellectual knowledge and spiritual wisdom. During both pre and post Vedic periods, arts, science and technology had flourished well in various fields. Indian agriculture to some extent is much traditional and dates back to about 10,000 years. India with its traditional crop varieties and crop production technologies was able to feed its population and also exporting some selected produces to other continents. All the Indian villages had been the self sufficient, self sustained and self reliant units. The development of modern agricultural production was achieved by creating large scale specialized farm production units, increased mechanization and use of chemical inputs.

Abstract

There is a consensus amongst the geoscientists that overall there has been progradation along the east and west coasts of peninsular India. However, the present day configuration of the coasts and some of the geomorphologic features such as absence of spit and delta along west coast and absence of major estuaries and petroliferous structures along east coast still remain controversial. The present study, based on the appreciation of certain geomorphological and tectonic features on Landsat imagery and aerial photographs of southern part of Indian Peninsula, suggests that the evolution of the coastline has been mainly controlled by tectonism.

The tapering nature of the coastline is attributed to the Precambrian orographic axis. The serrated nature of the post Precambrian coast line is due to the Precambrian transverse faults, whereas the serrated margin of the post Gondwana, Post cretaceous and post Tertiary coast lines are attributed once again to the Precambrian faults reactivated time and again. During the Quaternary period the coast line has undergone many modifications. The coast line attained sinuosity due to Pleistocene folding which is well manifested by river migration. The coast line was subsequently faulted and shifted with en echelon pattern due to N-S regional compression which is referable to the collision of Indian Plate with Tibetan plate.

Co-operation and Mutual trust, are some of the most cherished values, as given by the Ancient Indian wisdom and is part of our Indian culture. There is a saying, “Many hands make light work.” It is only through mutual trust, cooperation and team spirit can there be all round progress and prosperity, and success for everyone concerned due to the synergistic effects of combined efforts.

Introduction

Enough literature is available to understand the concept of extension. But are there any efforts to understand the in-tensions of ex-tension? Why should we emphasize on inner tensions of extension? to be a successful extension professional for bringing about the desirable changes in the behaviour of stakeholders, we need to understand the inner-tensions of extension in addition to the concept of extension.

Since inception of extension services, the model adopted for transfer of technology was dominated Technology, wherein the core emphasis was on the transfer of technology. The end product was the partial adoption of the technology or non-adoption of the technology. Learning from the experiences, modifications were made in the model and came out with extension mediated technology transfer system, wherein the technology is inseparable component of extension, which was combined with the human element or the societal element. The approaches adopted by different models of extension service delivery were also diverse.

The first model of extension service delivery the Public extension system or the Ministry of Agriculture, which delivers the extension services in the form of a systems approach. The relationship with the farmers or the end users is ‘take it or leave it’. Whether the receivers are gaining it or not, whether they do understand it or not, ultimately we are transferring it, and are ending it with the target oriented approach.

Our emotions play quite a significant role in guiding and directing our behavior. Many a times they are seen to dominate our behavior in such a way that we have no solution other than behaving as per their wish. On the other hand, if a person has no emotional current then he becomes crippled in terms of living his life in a normal way. Hence, emotions play a key role in providing a particular direction to our behavior and thus shaping our personality according to their development.

Etymologically, the word emotion is derived from the Latin word ‘emovere’ which means ‘to stir up’ or ‘to excite’. Emotion implies a state of being stirred up or aroused in one way or another. Therefore, emotion may be understood as an agitated or excited state of our mind and body. It involves extensive visual disturbance and includes many feeling tones or varying degrees of satisfaction or annoyance. Feeling may be a simple degree of emotional experience. Psychologists and physiologists are in agreement that emotion involves feelings, impulses and physiological reactions.

Thus, whatever may be the terminology used by different psychologists, their definition tends to describe “emotions as some sort of feelings or affective experiences which are characterized by some physiological changes that generally lead them to perform some or the other type of behavioral act”.

Networks – Introduction, origin and widely used networks
Network is a technique used for planning and scheduling of large projects in the fields of construction, maintenance, fabrication, purchasing, computer system instantiation, research and development planning etc. There is multitude of operations research situations that can be modelled and solved as network. Some recent surveys reports that as much as 70% of the real-world mathematical programming problems can be represented by network related models. Network analysis is known by many names PERT (Programme Evaluation and Review Technique), CPM (Critical Path Method), PEP (Programme Evaluation Procedure), LCES (Least Cost Estimating and Scheduling), SCANS (Scheduling and Control by Automated Network System), etc.
It is a graphical representation of logical and sequentially connected activities and events of a project. Network is also called arrow diagram. PERT (Programme Evolution Review Technique) and (Critical Path Method) are the two most widely applied techniques.

Accurate crop-yield forecasting supports food-security planning, resource allocation and farm decision-making. Yield is influenced by interacting factors such as weather, soil, irrigation, fertilizer and pesticide use, making reliable prediction challenging. This chapter presents an algorithmic framework using historical agricultural and environmental data. It covers cleaning, missing-value treatment, categorical encoding, normalization and feature extraction. Decision Tree, Gradient Boosting, AdaBoost and XGBoost regression models are evaluated individually and combined through soft voting. Performance is measured using standard prediction-error metrics. The case study demonstrates that ensemble modelling can improve accuracy and robustness, helping farmers and planners optimize inputs, anticipate production and strengthen agricultural productivity.

The successful transformation of agriculture through artificial intelligence and digital technologies requires supportive policies, institutions, infrastructure, and farmer-oriented programmes. This chapter examines the role of government policies and institutional support in promoting smart farming and digital agricultural innovation. Effective policies can facilitate investment in research and development, digital infrastructure, farmer training, technology access, rural connectivity, data governance, and sustainable agricultural practices. Institutional mechanisms are particularly important for overcoming barriers faced by smallholder farmers, including high technology costs, limited digital literacy, and inadequate infrastructure. The chapter emphasizes collaboration among governments, research institutions, universities, private enterprises, and farming communities to promote inclusive technology adoption, strengthen resilience, and achieve sustainable food security.

Introdution

In developing countries, traditional methods have special advantages over modern agricultural techniques. The capital and technological skill requirements in the use of traditional technologies are generally low and their adoption often requires little restructure of the traditional societies. By adopting such indigenous knowledge, our ancestors did not face any problem of large scale pest out break or economic crisis unlike the today’s farmers. The present study focused with this central theme of research.

Indigenous Technical Knowledge refers to the unique, traditional, local knowledge existing within and developed around the specific conditions of women and men indigenous to a particular geographic area (Grenier, 1998). Indigenous Knowledge is the accumulated knowledge, skills and technology of the local people. Indigenous Knowledge has two powerful advantages over scientific knowledge like it has little or no cost, and is readily available. Indigenous Knowledge can be defined as the knowledge built up by a group of people through generations of living in close contact with nature over the years; the farmer in India had been using cow dung and cow urine as manure in the fields.

1. Feminization of Agriculture

Almost all active women in rural India can be considered as ‘farmers’, in some sense – working as agricultural labourer, unpaid workers in the family farm enterprise, or combination of the two. Moreover, several farm activities traditionally carried out by men are also being undertaken by women as men are pulled away into higher paying employment. Thus rural India is witnessing a process which could be described as ‘feminization of agriculture’. The significantly high and growing population of female headed households has also highlighted women’s contribution to agriculture.

Since time immemorial, women have played and continued to play a key role in conservation of basic life support system, such as, land, water, flora and fauna. Women power at present constitutes nearly half of the global population and account one third of the total work force. They contribute more than half of duties and responsibilities but are not given proper rights. In India till now rural women continue to struggle with dual responsibilities of economic production and domestic labour, and most are confronted by poverty, illiteracy, high health risks, inadequate access to productive resources, and lack of credit/market access. The empowerment and autonomy of women and the improvement of women’s social, political, legal and economic status is essential for sustainable rural development

Introduction

The concept of database is the approach to information organization in computer-based data processing. (Date, 1995 and Everest, 1986).

A Geographic Information System is as good as the data contained in it. Accurate and efficiently organized data are critical to the durability of the system. Data collection, capture and organization will occupy much of the time in building a GIS solution. The analysis potential of a GIS will depend on the database. It is essential to understand database concepts to practice GIS. It is erroneous to view these GIS databases as mere stores of information. The database is used to abstract very specific sorts of information about reality and organize it in a way that will prove useful during subsequent analysis. The database should be viewed as a representation or model of the world developed for a very specific application.

Conversion of real world geographical variation into discrete objects is done through data models. They represent the linkage between the real world domain of geographic data and computer representation of these features. Data models discussed here are for representing the spatial information.

Abstract

Currently, computers are changing from single, isolated devices into entry points to a worldwide network of information exchange and business transactions called the World Wide Web (WWW).Current web contains billions of documents and has many administrative problems and limitations; in addition to that the web content is still accessible only to humans. For this reason, support in data, information, and knowledge exchange has become a key issue in current computer technology. The success of the WWW has made it increasingly difficult to find, access, present, and maintain the information required by a wide variety of users. In response to this problem, many new research initiatives and commercial enterprises have been set up to enrich available information with machine processable semantics.

Abstract

Protein-protein interactions play a major role in most cellular processes. Many essential cellular processes such as signal transduction, transport, cellular motion and most regulatory mechanisms are mediated by protein-protein interactions. The study of protein-protein interactions is of great importance in determining the biological function and impact of proteins. The experimental techniques remain expensive, time-consuming and labor-intense. Computational methods play an important role at all the stages of determining protein-protein interactions. In this chapter, we describe the different types of protein-protein interactions, computational methods, currently available databases and tools, protein-protein docking and as well as protein-protein interactions as drug targets.

Introduction

“Quality” of fish refers to the aesthetic appearance and freshness or degree of spoilage which the fish has undergone or involves safety aspects such as being free from harmful bacteria, parasites or chemicals. “Quality’’ is a term which must be defined in association with an individual product type. For example, it is often thought that the best quality fish is the one which is consumed within the first few hours of post mortem. However, very fresh fish which are in rigor mortis will be of hard texture and difficult to fillet and skin are often unsuitable for smoking or drying. Thus, for the processor, a slightly older fish which have passed through the rigor process are more desirable.

Abstract

The contribution of agriculture to the Tanzania’s economic growth has not been fully realized due to the sector’s’poor performance. This is attributed to a combination of constraints, which are often aggravated by lack of access to timely, relevant and reliable agricultural information. The traditional approach of delivering agricultural information through extension services has been criticized widely as there are weak information flows amongst agricultural actors.

Note: With my personal experience, I have learnt many lessons during the course of my journey of life. The reader should ponder over it and prepare own food profile and menu for the benefit of maintaining good health. My paper does not provide any prescription but provides illustration of my experiences only, which may be of some use in knowledge and practice of food. The medical and health experts need to be consulted as appropriate.

SYNOPSIS

After the break-up of the Soviet Union in 1992, the countries of Central Asia and the Caucasus (CAC) began making the transition from controlled to market economies. All of the countries have programs for economic and social development as well as food security. Over the last decade, the regional population increased 11%, from 72 million in 2002 to 79 million in 2012. Agricultural production has increased throughout the region. For example, vegetable production per decade has nearly doubled due to an increase in the area of the crops grown and to increased yields, and was more than 19 million t in 2011.

Fish has a vital role to play in mitigating the protein deficiency in developing countries. Fish has been described as the meat of the third world, and fish contributes significantly in developing and developed countries as a source of employment, income generation and foreign exchange earnings. The minimum per capita consumption of fish of an average Indian should be 11 kg per annum, as recommended by the ICMR. However, the per-capita consumption of fish in India is only 5 kg per annum, whereas, per capita consumption of fish in Japan was 62.6 kg, China - 30 kg and Bangladesh - 35 kg (Goswami et al., 2012).

In the semi-arid tropics, where small farmers depend heavily on rain-fed agricultural systems, variability in precipitation has a dramatic impact on crop production and livelihoods. Because small-scale agriculture depends on rain-fed cultivation, it is vulnerable to factors such as flooding and drought. Unfortunately, the frequency of unexpected heavy rainfall or flood events has increased in many areas of Africa, including Southern Zambia. About 75% of farmers in Zambia engage in small-scale farming, with an average farm size of 2 ha (VAM Steering Committee Zambia, 1998). Most of these farmers cultivate maize, which is a staple food in Zambia, and stable maize production and increased productivity are important both for food security and to provide a livelihood to farmers.

There are many problems in the fields and offices for which we seek the advice of an expert. We recognize persons and experts not only for their knowledge through study but also their ability to apply the knowledge very effectively by virtue of the experience gained over a period of time. The need for experts increases in both dimensions as numbers as well as in the spheres to which expertise is needed. The sphere in which the opinion of an expert can influence decisions or actions is referred to as the domain of the expert. For last few years application of Information and Communication Technology (ICT) has brought revolution in many fields. It is the need of the hour that we explore the possibility and the fields of application in agriculture to acquire maximum benefit from the most promising technology of this information era. ICT is one of the thrust areas in the list given by the planning commission (Now Policy Commission), where emphasis can be given to increase the production and productivity of agriculture commodities. During last 50 years, lot of research has been done in the field of Agriculture, which has not been properly extended to the farmers. ICT could be applied as a means in extending the technologies brought up by National Agricultural Research System (NARS) to the farmers.

Introduction

The world is said to be a global village organizations and people must learn, unlearn and relearn to expand their capacities and survive in the highly competitive market place. In view of rapidly changing socio–economic circumstance, it is a challenge to survive, excel and grow. It is knowledge which can make difference in getting the competitive edge. Thus, organizations need to pool their internal knowledge and find ways to update, enhance, share and create value. Organizations need to analyze their collective knowledge and use them most efficiently. Need for new and new technology is driving people to innovate in every sphere.

Introduction

Information Technology (I.T.) with its multi advantageous services has influenced the working of every sector whether it is education, industries, livelihood, agriculture, and other sectors viz government, business, health, employment, environment and security etc. Consequently, taking the benefit of I.T.,  most of the organizations have automated their systems to perform their routine activities in a better way as well as to offer more improved services.

Introduction
 
Arid western part of Rajasthan which contains the Indian segment of the Thar Desert, accounts for ~62% of the country’s hot arid area and is a region of low rainfall. Under such physico-climatic situation, fluvial processes function much less frequently and more episodically than the aeolian processes, but their impacts on landforms and society are large, as noticed on several occasions in arid regions. There is a distinct east-west gradient of rainfall and temperature in the region. Along the eastern margin bordering Aravallies, the mean annual rainfall is 500 mm while in the westernmost part at Jaisalmer, it is less than 150 mm. The rainfall is largely monsoon driven which brings 80 - 90 per cent of total rainfall received during the year. There is large inter-annual rainfall variability of rainfall which leads to climatic extremes of drought and floods of different magnitudes. For example on an average, the Thar Desert in India experiences flood-causing rainfall in 2-3 years in a decade, but a maximum of 5 flood causing rainfall years in a decade was recorded during the 1950s, 1970s and the 1990s (Rao et al. 2006).

1.0 Introduction

Population in dry lands of the world is increasing; more fresh water is required in order to meet the growing demands. To meet this challenging situation developing new technologies for identification of potential sites for rainwater harvesting (RWH) is an important step towards maximizing water availability in semi-arid areas.

In the study of rural development, there are three frameworks of analysis, viz. neo-classical, Marxian and systems approaches. While the latter two are holistic approaches, the neo-classical framework provides the underpinning of modern microfinance, with its focus on the decision making of individual economic agents towards (short-term) profit or utility maximisation. Neo-classical discussion and policy prescriptions in microfinance are directed towards creating the conditions for the operation of free rural financial markets. Institutional economists have further used the imperfect information paradigm to focus on transaction costs of credit delivery that serve to explain and justify high interest rates charged by village moneylenders (Tankha, 2002).

Abstract

As the available surface water is too inadequate to fulfill the man’s requirements he was forced to locate newer groundwater reservoirs on one side and to control the fast depleting water table on the other side. As the ancient techniques have failed to give precise models on groundwater targeting, he was to invent and employ newer technologies. Under this scenario the recently invented spatial technology has emerged as a very powerful tool in groundwater targeting and management. The vistas and virtues of such spatial technology in groundwater management have been discussed in this overview paper by citing some case studies from Tamil Nadu, India.

Abstract

Workplace has become more and more complex due to tremendous pressures and high expectations and it poses heavy demand on the managers and leaders to exhibit their emotions smartly and intelligently. Thus, in the present scenario social and emotional competencies are considered as very important ingredients of individual’s efficiency and effectiveness at workplace. Emotional intelligence is the ability to sense, understand, value and effectively apply the power and access of emotions as a source of human energy, information, trust, creativity and influence. Present chapter elucidates different models of emotional intelligence and role of culture and sociological factors in defining emotional intelligence.  It also explains the four cornerstone model of emotional intelligence. These four cornerstones made emotional intelligence moved out of the preview of psychological analysis and philosophical theories into the domain of direct knowing, exploration and application. These are emotional literacy, emotional fitness, emotional depth and emotional alchemy, which are significant in the organizational context. Finally chapter describes about different measures of emotional intelligence.

Abstract

In this investigation the low dose effects of pesticides were analyzed both in vitro and in vivo in peripheral blood samples from healthy donors and also in farmers occupationally exposed to pesticides. In vitro studies were conducted to assess the toxicity caused by commonly used pesticides like monocrotophos, profenofos, chlorpyriphos, endosulfan, acephate on lymphocytes from peripheral blood samples. In almost all experiments we could determine chromosomal aberrations and DNA damage at 1/10th of LC50 dosage of the pesticides. For analyzing the in vivo effects, epidemiological studies were conducted in pesticide exposed agricultural workers. The 200 exposed volunteers suffered from fever, nausea, headache and other abnormal symptoms and visited the hospital for general health check-up. These cases were taken up for more detailed studies. Five of them (2.5%) showed decrease in RBC, haemoglobin, and increase in WBC with a large number of immature cells. These volunteers were further diagnosed as Philadelphia negative Chronic Myeloid Leukemia (CML) cases based on clinical and pathological examinations. In similar environs, about 3% of the exposed children showed signs of mental retardation and delayed milestones. It is therefore, concluded that clinical evaluations supported by occupational epidemiology could determine CML in exposed individuals (adults). At low doses we have traced the effect of pesticides at molecular level.

The livelihoods of millions of rural households in the semi-arid areas depend mainly on natural resources such as soil, rainwater, vegetation, livestock and the like. The major source of livelihood in these areas solely depends on the arrival, distribution and cessation of monsoons, which are erratic and ill distributed. However, management of natural resources like soil and vegetation in a way that these are used to optimally to produce maximum output. This requires new knowledge, better skills and improved management strategies. In this context, building the capacity of the rural households particularly the youth holds key to improving productivity and profitability ot the enterprise. Keeping these in view, the National Agricultural Innovation Project (NAIP) sub project on “Sustainable Rural Livelihoods through Enhanced Farming Systems Productivity and Efficient Support Systems in Rainfed Areas” being implemented by a consortium led by CRIDA has introduced several interventions aimed at involving rural youth right from the beginning of the project.  The project is being implemented in eight backward districts (Adilabad, Anantapur, Kadapa, Khammam, Mahabubngar, Nalgonda, Rangareddy and Warangal) of Andhra Pradesh in selected clusters of villages.

Case Study    :    Indian Ocean Tsunami - 2004