eChapters

Introduction 
The transformation of governance through digital means represents one of the most consequential shifts in contemporary public administration. Digital governance or e-governance entails strategically applying information and communication technologies (ICTs) to enhance the accessibility, efficiency, transparency, and responsiveness of government functions and public service delivery. In India, this digital shift has accelerated over the past two decades, driven by imperatives to modernise the state apparatus, promote inclusive development, and meet the rising expectations of a digitally literate citizenry. A complex interplay of demographic diversity, federal administrative structures, and asymmetries in socio-economic development shapes India’s trajectory toward digital governance. The proliferation of mobile devices, growth in internet penetration, and public investments in digital infrastructure have enabled a gradual shift from paper-based systems to platform-based governance. Concurrently, global paradigms such as open government, digital inclusion, and citizen-centric innovation, captured in international indices like the UN E-Government Development Index and the World Bank’s GovTech Maturity Index, have influenced national aspirations and strategy formulation. However, these technological and global catalysts can only be transformative when embedded within a coherent legal and policy framework that ensures institutional legitimacy, citizen trust, and systemic accountability. In this regard, digital governance’s legal and policy foundations are critical for establishing enabling conditions for its practical and equitable implementation. As highlighted by Sachdeva (2002), the transition to digital modes of governance requires not only the removal of outdated regulatory provisions but also enacting new laws on digital authentication, electronic records, data protection, cybercrime, and privacy. Additionally, procedural simplification through single-window systems, interoperability standards, and e-payment protocols is essential to reduce administrative friction and promote

Introduction 
Digital governance in India has made remarkable strides over the past two decades, transitioning from isolated digitisation projects to an integrated, citizen-centric governance ecosystem. Enabled by policy reforms, technological innovation, and infrastructural development, digital governance has become a cornerstone of the country’s public service delivery, transparency, and accountability. However, the ambitious expansion of digital governance has also encountered systemic and structural challenges that continue to hinder its full realisation. These challenges are not merely technological but are deeply embedded in socio-political, administrative, and economic contexts that define the Indian public administration landscape. While the progress has been notable, the sustainability and inclusiveness of digital governance remain contingent on the country’s ability to address these entrenched constraints. Despite substantial advances, several persistent challenges threaten the transformative potential of digital governance in India. Chief among them is the digital divide across rural-urban, gender, economic, and social lines, which inhibits equitable access to digital services. According to the National Family Health Survey (NFHS-5, 2019–21), internet usage in rural areas remains alarmingly low, with only 33% of women and 57% of men reporting regular access. Infrastructural constraints, human resource limitations, weak system interoperability, cyber-security threats, and concerns about data protection and digital rights compound these disparities. The post-2015 period has witnessed transformative initiatives under the Digital India Programme, including the proliferation of platforms such as Aadhaar, DigiLocker, Unified Payments Interface (UPI), and MyGov, among others (MeitY, 2022). While these developments have significantly enhanced service accessibility and administrative efficiency, they have simultaneously revealed critical gaps in digital infrastructure, policy coherence, data governance, and institutional capacities. For instance, the rural-urban digital divide, disparities

Early Warning Systems (EWS) have evolved from simple, rudimentary alert mechanisms into complex, multi-hazard, data-driven networks that play a critical role in disaster risk management and climate adaptation. In today’s rapidly changing climate, timely and accurate information is essential not only for saving lives but also for protecting livelihoods, reducing economic losses, and enhancing community resilience. The application of EWS varies significantly by region, geography, type of disaster, and across diverse sectors such as agriculture, aquaculture, horticulture, animal husbandry, fisheries, and allied sciences. Global initiatives - led by organizations such as the United Nations - aim to ensure that every person, particularly the most vulnerable, is equipped with lifesaving early warnings by 2027 (Fig.11.1). Complementary partnerships, such as that between the World Meteorological Organization (WMO) and the Food and Agriculture Organization (FAO), further strengthen these systems by integrating cutting edge forecasting with actionable advisories for critical sectors. A particularly groundbreaking effort is the United Nations’ Early Warnings for All (EW4ALL) initiative, launched in 2022 by UN Secretary General António Guterres, which seeks to provide comprehensive early warning coverage for hazardous weather, water, and climate events to every person on Earth. Underpinning these global efforts is Weather Intelligence - a transformative approach that harnesses advanced data analytics, real time monitoring, and machine learning techniques to refine forecasts and deliver precise, context specific alerts. By integrating diverse data streams and tailoring

For nations where agriculture is intrinsically linked to the rhythms of the monsoon, the need for effective climate guidance and resilient farming practices is particularly acute. The preceding chapters have likely underscored the profound impact of climate variability, especially the unpredictable nature of monsoon patterns, on agricultural productivity and the livelihoods of millions. This chapter turns its attention to the essential infrastructure development and enabling policy frameworks required to empower farmers in monsoon-dependent countries to navigate the uncertainties of their climate and build lasting prosperity. Given the unique challenges and opportunities presented by monsoon climates, this chapter will specifically explore the development of infrastructure that supports climate-resilient agriculture in these regions. This includes a focused examination of:
• Specialized Weather Observation and Forecasting Infrastructure for Monsoon Monitoring: Emphasizing the need for advanced systems dedicated to accurately monitoring monsoon onset, intensity, spatial distribution, and predicting extreme events like heavy rainfall and prolonged dry spells, which are critical for timely agricultural decisions.
• Communication and Dissemination Infrastructure Tailored for Monsoon-Related Risks: Focusing on effective and accessible channels to deliver critical monsoon forecasts, advisories on managing water excesses and deficits, and information on appropriate cropping strategies during and between monsoon seasons, reaching even remote agricultural communities.
• Infrastructure for Enhanced Water Management in a Monsoon Context: Addressing the dual challenges of managing excess water during intense monsoon periods (including flood mitigation and drainage systems) and ensuring water availability during dry spells through efficient irrigation, water harvesting, and groundwater management infrastructure.
• Data Management and Analysis Focused on Monsoon-Driven Agricultural Systems: Highlighting the importance of analyzing historical and real-time data related to monsoon patterns and their impact on specific crops and regions to generate localized and timely agricultural guidance.
The chapter will also critically analyze the enabling policies necessary to support climate-resilient agriculture within the specific context of monsoondependent nations. This will involve exploring:

The pursuit of a dependable and abundant harvest stands as the cornerstone of sustainable agriculture. However, this pursuit is increasingly challenged by the growing complexities and uncertainties of our changing climate. Chapter 9, “Harnessing Climate Intelligence for Assured Harvest,” delves into the critical role of climate analysis in navigating these challenges and securing predictable yields. This chapter outlines a strategic approach to achieving “assured harvest” by effectively leveraging “climate intelligence.” This intelligence encompasses a deep understanding of historical climate patterns, real-time weather monitoring, and future climate projections. By strategically analyzing this wealth of information, we can move beyond reactive measures towards proactive and informed decisionmaking across the agricultural lifecycle. Our strategy to harness climate intelligence for assured harvest will focus on several key pillars:
• Deciphering Climate Variability and Change: We will explore the nuances of both short-term weather fluctuations and long-term climate trends, identifying their specific impacts on crop growth, development, and potential losses. This involves understanding critical parameters like temperature, rainfall, humidity, solar radiation, and the frequency of extreme weather events relevant to specific crops and geographical regions.
• Assessing Climate-Related Risks: A crucial element of this strategy involves identifying and quantifying the risks posed by climate variability and change. This includes analyzing the probability and potential severity of events like droughts, floods, heatwaves, cold spells, and shifts in pest and disease patterns.
• Developing Climate-Smart Agricultural Practices: Armed with a robust understanding of climate risks, this chapter will explore a range of climatesmart agricultural practices designed to mitigate these risks and enhance resilience. This encompasses strategies related to crop selection, optimized planting and harvesting schedules, water management, soil health improvement, and integrated pest and disease management.
• Leveraging Technological Advancements: The power of climate intelligence is amplified by advancements in technology. We will examine the role of remote sensing, Geographic Information Systems (GIS), precision agriculture tools, and sophisticated weather forecasting systems

Introduction 
The preceding chapters have firmly established the conceptual foundations of the systems approach and introduced the diverse world of crop models, highlighting their intricate mechanisms and their transformative potential for agroadvisory. However, even the most elegantly formulated and sophisticated crop model is ultimately a framework; its predictive power and reliability are inherently tethered to the quality and availability of the information it receives. As the adage in data science goes, Garbage in, garbage out– a truth that resonates profoundly within the realm of agricultural system simulation. The chapter shifts focus from the theoretical constructs of models to the vital practical considerations of data requirements. This chapter will delve into the indispensable role that accurate, comprehensive, and well-structured data plays in every stage of crop modeling, from initial parameterization and rigorous calibration to robust validation and reliable application. Without the right data, even a theoretically perfect model cannot accurately mimic the complex dynamics of the soil-plant-atmosphere continuum or provide trustworthy insights for agricultural decision-making. This chapter will systematically unpack the various categories of data essential for crop modeling. It will meticulously detail the specific characteristics and sources of weather data, which serve as the primary atmospheric drivers. It will then explore the crucial properties and measurement techniques for soil data, underpinning the understanding of water and nutrient availability. The discussion will extend to crop genetic and physiological data, which define the inherent capabilities and responses of specific plant varieties. Furthermore, the chapter will cover management data, illustrating how human interventions are integrated into the modeling framework. Beyond merely listing data types, this section will critically examine the challenges associated with data acquisition, including issues of quality, resolution, consistency, and spatial representativeness.

Introduction 
The fundamental goal of agriculture is to harness the earth‘s resources to produce food, feed, fiber, and fuel to sustain a growing global population. At the heart of this endeavor lies the concept of crop production, a complex interplay of genetic potential, environmental factors, and human management. This chapter, Potential and Achievable Crop Production, delves into the crucial distinction between what a crop can produce under ideal circumstances and what it actually produces in the farmer‘s field. Understanding this dichotomy is paramount for addressing global food security challenges, optimizing resource utilization, and developing sustainable agricultural practices. We will begin by exploring the theoretical maximum yield, often termed "potential production," which represents the inherent capacity of a crop variety to produce biomass and yield when all limiting factors are eliminated. This potential is primarily dictated by a crop‘s genetic makeup and the prevailing climatic conditions, such as solar radiation, temperature, and carbon dioxide concentration. Subsequently, we will shift our focus to achievable production, the real-world yield obtained by farmers. This actual yield invariably falls short of the potential due to a myriad of biotic (pests, diseases, weeds), abiotic (water scarcity, nutrient deficiencies, extreme temperatures, poor soil health), and socio-economic (lack of access to inputs, knowledge, or markets) constraints. The disparity between potential and achievable yield, known as the "yield gap," represents a significant opportunity for enhancing agricultural output without necessarily expanding cultivated land. By meticulously examining the factors that contribute to this gap, we can identify targeted interventions and innovative strategies to bridge it, thereby moving closer to realizing the full productive capacity of our agricultural systems. This chapter will therefore provide a comprehensive framework for understanding the science behind crop yields and the practical approaches required to optimize them for a more food-secure future.

The success of a TTO relies on a systematic approach encircling factors like assessment, valuation, marketing, negotiation, and post-transfer management (fi gure 8). This chapter covers the activities that are essential for the effective functioning of a TTO. Other activies Technology Assessement /Valuation Financial Managemnt Major Activities of technology transfer office Commercialization IP Management Fostering Innovation
Fig 8: Various activities of TTOs.
3.1 Technology assessment - A pillar of innovation commercialization
The process of transitioning an innovative technology to commercial reality requires a stringent and formal process known as technology assessment. This early stage is crucial as it determines the viability of an invention by analysing practicability of the invention as well as its uniqueness and the likelihood of it being adopted in the target markets. In the absence of this preliminary examination, the chance of technology’s potential being mismatched to the market can arise.
a) Scientific merit and technical feasibility
A key benchmark in assessing technologies involves the identification of
scientific validity and technical performance. An innovation’s viability depends on the fact that it complies with good scientific practice or the innovative application of a new paradigm that has empirically confirmable validity. It is important to determine whether the invention’s underlying mechanism can be reliably proven through established scientific practice. A working prototype allows for empirical testing in different conditions and serves as proof of practical application. In addition to that, scalability has to be tested critically. It often happens that innovations perform well in a controlled laboratory setting but lose efficiency or cost-effectiveness in the case of mass production. The viability of the implementation on a grand scale becomes a core concern in this phase of the evaluation.

In today’s innovation driven economies, turning a great idea or new technology into something investors want to fund takes careful planning. This process is called investor readiness. which means making sure the idea works, has a market, and is presented in a way that makes investors feel confident. Therefore, Investor readiness means the preparedness of an innovation to attract and secure investment from potential investors. It has all the essential parameters in place that an investor would evaluate before deciding to invest. For inventors, this means showcasing innovation’s business potential, potential for growth, and the capability to provide a return on investment. Understanding investor readiness is important because it directly influences scalability and growth of invention. Even the most innovative ideas can struggle to find the financial benefits without showcasing business potential.
Why it is important to discuss investor readiness
Investor readiness is the state in which a technology, its value proposition, and its founding team are significantly prepared to engage with securing funding from potential investors. Without investor readiness, even high-potential innovations may fail to reach the market due to gaps in business clarity, legal assurance, or team maturity. TTOs play an important role in this process by acting as intermediaries between inventor and investors. Modern day TTOs are more inclined to prepare technologies and associated teams to attract investment. This expanded mandate of TTOs and brought in investor readiness. It requires a wellstructured approach focused on aligning academic innovations with investor expectations. TTOs help in creating this readiness by guiding researchers through commercial pathways, derisking technologies, and translating technical advancements into investment suitable.

Clinical decision support systems assist healthcare professionals in diagnosis, treatment planning and patient management. This chapter introduces intelligent clinical decision support systems and explains how computational intelligence overcomes the limitations of conventional rule-based approaches. It examines artificial neural networks, fuzzy logic, evolutionary algorithms, swarm intelligence and deep-learning models. A computational architecture integrating clinical data, learning algorithms, fuzzy inference and optimization is presented. Applications in heart-disease diagnosis, diabetes-risk prediction and medical-image analysis illustrate the practical value of these systems. The chapter also addresses interpretability, interoperability, data quality, privacy, legal responsibilities, real-time processing and the challenges involved in deploying intelligent decision-support tools in clinical environments.

Data-centric artificial intelligence has transformed medical imaging, clinical prediction and electronic health-record analysis, but purely data-driven models face limitations involving generalization, bias, privacy and interpretability. This chapter examines the transition toward knowledge-aware and hybrid healthcare systems that combine machine learning with clinical knowledge, ontologies and knowledge graphs. It discusses explainable AI, clinical reasoning and the integration of structured knowledge into intelligent decision support. Applications include acute-care support, precision medicine, genomic oncology and population-health management. Ethical issues, regulatory compliance, fairness and privacy-preserving technologies are also considered. Future directions include quantum computing, large language models, multimodal integration and equity-focused healthcare-system development.

Agriculture has progressed from labour-intensive traditional practices through mechanization and the Green Revolution to precision agriculture and Agriculture 5.0. This chapter traces that historical development and identifies limitations associated with conventional farming, including inefficient resource use, environmental degradation and weak adaptability. It explains how GPS-guided machinery, sensors and precision technologies prepared the foundation for intelligent systems. Artificial neural networks, deep learning and fuzzy logic now process data from IoT devices, UAVs and satellites to support automated irrigation, crop monitoring and soil analysis. The chapter emphasizes that integrating human knowledge with computational power is increasingly essential for global food security, sustainability and climate resilience.

Assessment is a fundamental component of education because it provides evidence of learning, identifies gaps, and guides instructional improvement. Generative AI is creating new possibilities for making assessment more adaptive, personalized, responsive, and scalable. This chapter examines the transformation of assessment, evaluation, and feedback through generative AI technologies. It explores AI-supported generation of multiple-choice questions, essay prompts, programming tasks, case studies, simulations, rubrics, and other assessment resources. Generative AI can also provide rapid formative feedback, explanations, hints, and personalized learning activities based on individual student performance. These capabilities can reduce repetitive assessment tasks for educators while increasing the variety and flexibility of learning evaluations. The chapter considers applications across school education, higher education, vocational learning, and professional training. At the same time, it addresses concerns surrounding validity, reliability, fairness, transparency, academic integrity, bias, and inappropriate dependence on automated evaluation. Effective implementation therefore requires human oversight, appropriate assessment design, and continuous evaluation of AI-generated outputs. The chapter presents GenAI as both a disruptive force and a powerful enabler of contemporary educational assessment.

Learning Management Systems (LMSs) have become central to digital education by providing platforms for content delivery, communication, assessment, learner tracking, and academic administration. Integrating Generative AI into these systems can transform conventional LMS environments into more intelligent, adaptive, and responsive learning ecosystems. This chapter examines the integration of GenAI with LMS platforms and other educational technologies to support personalized instruction, automated content generation, intelligent assessment, student support, and learning analytics. AI can generate explanations, quizzes, summaries, learning activities, and feedback while using learner-performance information to recommend individualized pathways. Integration with digital whiteboards, productivity platforms, chatbots, interactive content, and other EdTech tools can provide students with immediate assistance and multiple explanations of difficult concepts. For educators, these systems can support course design, assessment development, progress monitoring, and instructional decision-making. However, implementation involves technical challenges such as API compatibility, computing requirements, real-time data processing, legacy-system integration, infrastructure limitations, and shortage of skilled personnel. Regulatory issues involving privacy, intellectual property, misinformation, bias, and liability must also be addressed. Successful LMS integration therefore requires robust infrastructure, governance, interoperability, human oversight, and continuous evaluation.

Healthcare represents one of the most promising yet sensitive application domains for Large Language Models. LLMs can process extensive medical literature, electronic health records, clinical narratives and other forms of biomedical information to support diagnosis, research and patient care. This chapter explores the growing role of LLMs in healthcare, beginning with their development from general language models toward specialized biomedical and clinical systems. It examines applications in disease diagnosis, clinical decision support, medical documentation, literature analysis, drug discovery and personalized medicine. LLMs can assist with differential diagnosis, symptom extraction, medical question answering, clinical trial matching and interpretation of medical information. In drug discovery, they can analyze scientific publications, patents and clinical evidence to identify potential drug candidates, targets and opportunities for drug repositioning. Personalized medicine applications involve integrating genetic, lifestyle and treatment-response information to support patient-specific therapeutic decisions. At the same time, the chapter emphasizes major concerns involving patient privacy, hallucination, explainability, regulatory compliance and human oversight. The discussion highlights the importance of responsible integration of LLMs with clinical expertise and established healthcare practices

Effective crop monitoring is essential for maintaining plant health, optimizing farm operations, and improving agricultural productivity. This chapter explores the application of artificial intelligence for real-time crop monitoring and farm management. AI systems integrate information from sensors, satellites, drones, mobile devices, and other sources to assess crop conditions and identify emerging problems. Machine learning and deep learning techniques can analyse crop images, environmental parameters, growth patterns, and field conditions to provide actionable insights. The chapter examines real-time monitoring, image analysis, crop health assessment, anomaly detection, and decision-support applications. It also highlights the role of IoT and multimodal agricultural data in developing intelligent and responsive farming systems.

Plant diseases significantly reduce crop productivity, quality, and economic returns, making early and accurate detection essential for effective crop protection. This chapter examines the application of machine learning and computer vision for identifying diseases at an early stage. It discusses agricultural image acquisition using RGB, hyperspectral, and sensor-based technologies, followed by image preprocessing, segmentation, feature extraction, and classification. Machine learning algorithms such as support vector machines, random forests, and convolutional neural networks are considered for disease recognition. The chapter also explores the integration of AI with IoT and mobile technologies and presents practical applications while addressing challenges involving datasets, environmental variability, model generalization, and computational requirements.

Increasing crop productivity while reducing resource consumption is a central objective of modern agriculture. This chapter examines how artificial intelligence can support crop yield improvement through data-driven analysis, prediction, and decision-making. AI models can integrate information from soil, weather, crop growth, remote sensing, IoT sensors, and historical yield records to identify important factors influencing productivity. Machine learning and deep learning approaches can support yield forecasting, crop selection, fertilizer and water optimization, and precision management. The chapter also considers AI-enabled genomic selection, market intelligence, and intelligent farm management. Challenges such as data availability, implementation cost, connectivity, farmer training, and model reliability are discussed alongside future opportunities including edge AI and explainable AI.

1. Introduction

Jordan is an Arab country located in the heart of the Middle East. It is a highly centralized country in both political and economic terms, with a constitutional monarchy. The parliament consists of an upper-house appointed by the king and an elected lower-house. The king appoints the prime minister, who in turn, appoints a cabinet of ministers.

1.1. General Information

The country shares borders with Iraq to the east, Israel and the Palestinian Authority to the west, Syria to the north and Saudi Arabia to the south. In 2005, the population of Jordan was estimated at 5.5 million people with a population growth rate around 2.3 per cent, living in an area of about 89,300 sq. km. Most of the population is urbanized (82 per cent), with more than half living in the capital, Amman, and in the Zarqa governorate. About 60 per cent of the total population is under 25 and 38 per cent is under the age of 15 (United Nations, 2006). Jordan is classified as a lower-middle income country, with an economy that is severely affected by water scarcity and limited land resources. The capital Amman dominates over  80  per cent of the country’s economy.

1. Basic Information and Agrarian Status

Zimbabwe is a landlocked country located in Southern Africa covering 39,037,000 hectares. It is bordered by Zambia, Mozambique, South Africa, Botswana and Namibia. It is situated between 15 and 22° south latitude and 26 and 34° east longitude. Climatic conditions are largely sub-tropical with one rainy season between November and March. In 1981, the country had 5 hectares per capita whilst it is estimated that the current population to land ratio has declined to 3.25 hectares per person and this is largely attributed to population increases that have taken place over the years. The national census conducted by the Central Statistics Office in 2002 showed that the country has a population of 1,20,00,000 people. About 80 per cent of the population resides in the rural areas, where they sustain their livelihoods through agriculture. When discussing agricultural production activities in the country, it is important to note that nearly all the soils (80 per cent) in the country are sandy from granite rocks or from schists.

Introduction
Urban sustainability has become a critical focus as the global population increasingly concentrates in cities. With over 56% of the world’s population residing in urban areas, cities are significant drivers of economic growth and innovation but also contribute disproportionately to environmental degradation, resource depletion, and social inequities. Urban sustainability aims to balance economic, social, and environmental dimensions, ensuring that cities are livable, resilient, and capable of meeting the needs of current and future generations. Information Technology (IT) is pivotal in advancing urban sustainability by enabling smarter resource management, reducing environmental footprints, and fostering inclusive and equitable development.

Animal husbandry faces increasing pressure to produce safe milk, meat and eggs while improving animal welfare and reducing environmental impacts. Traditional observation-based management is increasingly inadequate for large and complex livestock systems. This chapter introduces digital transformation through Precision Livestock Farming, which combines IoT devices, smart sensors, wearables, computer vision, artificial intelligence, machine learning and digital twins. Continuous animal-centred data enables timely decisions concerning health, reproduction, feeding, behaviour and welfare. The chapter explains how digital technologies can support early disease detection, efficient resource use and improved productivity across commercial and smallholder farms, creating more profitable, sustainable and welfare-conscious livestock systems.

Abstract
The western Himalayan region is rich in a variety of natural resources owing to the existence of a range of biophysical and climatic interactions. Mountain inhabitants have been living in harmony with these natural resources for generations to meet their subsistence needs out of these resources.  However, recent decades have witnessed a substantial imbalance between man and nature that has adversely affected the livelihood of native people. Several anthropogenic and natural factors are responsible for this change. Furthermore, the exposure of mountain societies to outside world has opened up a number of new livelihood options based on both natural resources and other forms of human capital. The local people have adopted some livelihood practices suiting to the changed conditions at the expense of the age-old agri-silvi-pastoral mode of livelihood. There is an emerging challenge for policy makers and planners to make developmental interventions and tailor made livelihood options suiting to the changed scenario. Several government and non-government organizations and other agencies initiated a number of programmes that focus on natural resource management vis-à-vis livelihood improvement in the region. However, for want of cause and effect analysis many of these programmes are not yielding the desired results. This chapter provides an overview of the traditionally important livelihood practices of the western Himalayan region and some of the emerging livelihood supporting activities based on natural resources of the region. A case study of Bhimtal lake catchment where transformation of traditional livelihood has taken place at a rapid pace due to the influence of tourism and urbanization has also been included to highlight the emerging scenario. The paper suggests some useful policy options for planning livelihoods in the western Himalayan region of the country.

Use of insect-resistant varieties in integrated pest management is an economically and ecologically sound alternative to synthetic pesticides. A large number of germplasm lines of different fruit crops have been evaluated for resistance to pests, and a few genotypes with resistance to insects, mites and nematodes have been identified. The resistance of “Winter Majetin” apple variety against woolly apple aphid, Eriosoma lanigerum (Hausmann) was the first report of innate resistance to insect pests in fruit crops. Another successful example was the resistance to grape phylloxera, Daktulosphaira vitifoliae (Fitch), in which the susceptible European scions (Vitis vinifera) were grafted onto the resistant American rootstocks (Vitis labrusca) in late 1800s. Various leaf characteristics, such as hairiness, pubescence, thickness of veins, sponginess, stomatal density and fruit characteristics such as rough skin, have been reported to confer resistance to insect pests. High content of phenols, flavonols, potassium, calcium, and low carbohydrate and nitrogen contents have also been reported to confer insect resistance in various fruit plants. The germplasm has been screened against various pests under natural as well as artificial infestations. In apple, rootstocks (MM-series) resistant to woolly apple aphid have been developed. Molecular markers for three genes that confer woolly apple aphid resistance are located on two linkage groups (LG). Low infestation of the woolly apple aphid has also been recorded in Golden Delicious variety which incidentally is the most preferred host of apple fruit moth. The scab resistant apple selections, HCR21T200, HCR23T125, S80ER21T72 and TSR16T223 have also been found to be resistant to the European red mite, Panonychus ulmi (Koch). Peach varieties such as Flaming Gold, Stark Early Giant, Early White Giant and Flavour Crest are moderately susceptible to the peach leaf curl aphid, Brachycaudus helichrysi (Kalt.). Peach cultivar, Matchless has been reported tolerant to flat headed stem borer, Sphenoptera lafertei Thomson. Early maturing varieties of peach are reported to escape the fruit fly, Bactrocera dorsalis (Hendel) damage while Nemaguard, and Nemared rootstocks are resistant to important nematode pests. Almond varieties, Briggs Hard Shell, Katha 85, Ribba Selection and Tree No. 55 have been reported free from peach curl aphid infestation.

Coldwater fishes exhibit enormous diversity and have great potential for generating livelihoods, mitigating poverty and unemployment. Coldwater fishery deserves attention for improving production by ensuring seed and feed supply. Other important issues in fisheries sector relate to marketing, value addition and farming. There is need to have separate action plan for low volume high values, and high volume low values fishes. Coldwater fishery sector can be strengthened using the available technologies such as hatchery and seed rearing, management protocol breeding and grow out protocols, fish specific feed formulations, exotic carp farming, and fish farming in polythene lined irrigation/ watershed tanks. The sustainable fishery development in hills requires attention on defining and granting appropriate ownership of resources, developing state of art infrastructure, initiation and implementation of fisheries conservation including focus on native and exotic species through enforcement of protective legislation. Strengthening of hill fishery education will play a central role. A “strength, weakness, opportunity and threat analysis” suggests an integrated approach by addressing the issues on genetic characterization and conservation, environmental impact analysis, development of niche specific aquaculture system, focus on post production and health management issues, implementation of demonstration programmes, enhancement of institutional capabilities, and development of human resources. Research areas relating to capture fisheries, culture fisheries, extension and transfer of technologies are also important.

Introduction

Indigenous peoples established distinct systems of knowledge, innovation and customary practices from their centuries old interactions with the local biodiversity and environment, relating to the uses and management of local natural resources. Today, this knowledge is looked as an important resource for research and development in different areas such as pharmaceuticals, agriculture, veterinary, jewelry, fashion and cosmetic products. This has led to rampant exploitation of such knowledge disregarding the customary practices and rules of indigenous peoples holding and preserving such knowledge as well as the biodiversity and natural resources. As a consequence, the traditional knowledge is under threat of being misappropriated or lost.

Abstract

With the evolution of Information and Communication Technology (ICT) in Agriculture as the major employer of Ugandans population with over 82% of the population, agricultural information is a key component in improving small-

SYNOPSIS

Animal source foods (ASF) include any food item that comes from an animal source such as meat, milk, fish, eggs, cheese and yogurt. Many individuals do not consume ASF or consume little ASF by either personal choice or necessity as ASF may not be accessible or available to these people. Animals are used as food either directly or indirectly by the products they produce. Animal source foods (ASF) include any food item that comes from an animal source such as meat, milk, fish, eggs, cheese and yogurt.

Water is one of the most important production assets and securing access to and control and management of water is key to enhance livelihood base of any country like India where most people depends on agriculture. India is endowed with rich and vast diversity of natural resources, water being one among them. But water resources in India are unevenly distributed over the country. The more than 50 per cent of the total resources distributed with five states namely Uttar Pradesh, Odisha, Andhra Pradesh, Karnataka and West Bengal (MWR, 2008) and left other states much prone to water scarcity.

Abstract

The food security scenario in South Asia has witnessed rapid progress over the last few decades, yet nutrition outcomes, especially those related to women and children, have failed to keep pace. This paper contends that the role of women in providing food and nutrition security at the household and individual level needs to be examined, if the paradox of persisting malnutrition amid macro level food sufficiency is to be resolved. Food security, in its broader connotation, results from the availability of adequate food, effective consumption, and desirable nutrition outcomes. As such, it is intricately linked with a woman’s multiple roles expressed in her productive, reproductive, and caring functions. However, even focused efforts aimed at resolving the problems faced by women in performing one or other of their roles, may fail to produce expected results, if the issues underlying each function and their inter-linkages are not fully understood. The paper thus attempts to review various aspects of the relationship between women and food security in South Asia, highlights the issues that require urgent focus and indicates emerging concerns in the region.

Abstract

The per capita availability of fresh water in the World is continuously decreasing. It is reported that in the World about 69 percent of total water resources developed are used for irrigation, 23 percent for industries and the balance is used by the domestic sector. About 60 percent to 70 percent of water used in domestic sector is returned as waste water. Substantial quantities of water used by industries are also returned. To meet the increased food requirements of the global population, there is constant pressure for increase in food production. Since, agricultural productivity depends on availability of water; there is increased demand of water for irrigated agriculture. On the other hand, due to increased demand of water for other sectors, quantum available for irrigation sector is getting reduced. So, for meeting the increased irrigation demand, it is necessary to economise the use of water for irrigation by adopting improved technologies and improving the water use efficiencies. 

Introduction

Rice (Oryza sativa L.) is a staple food of over half the world’s people and is grown on approximately 146 million hectares, more than 10 per cent of total available land. Ninety seven per cent of the world’s rice is grown by less developed countries, mostly in Asia. Post harvest losses are considered to be contributed by storage alone, and not much attention was paid to losses occurring during harvesting, transport, threshing, drying, milling and pre-milling treatments. Quantitative loss of food grains was the main concern of the producers and the consumers. Qualitative losses at various stages were not fully recognized, but systematic studies by different organizations revealed that these losses are enormous and should be prevented. These losses cumulatively could be as high as 40 per cent and are normally accompanied by loss of quality also. Quality loss of products can take place at all stages but more particularly during drying or curing of harvested crops, storage, and milling and pre-milling treatments. Post-harvest attention is essential if the grains of higher production are to be fully exploited. Also the quality loss occurring in food grains can be extremely serious if the farming community is not aware of them.

Introduction

Consumption of milk is deeply rooted in our traditions, and it is an inevitable part of the Indian diet and even has ritualistic and medicinal uses. Milk is the first and one among the most nutritious foods that every mammal consumes on earth. It supplies all the nutrients needed to ensure proper growth and development in the postnatal period. Dairy foods in general are commonly considered balanced and nutritive, being frequently included as important components of a healthy diet (Pereira, 2014). Four components of milk are dominant in quantitative terms: water, fat, protein and lactose; while the minor components are minerals, enzymes, vitamins, and dissolved gases (Guetouache et al., 2014). On an average, bovine milk is composed of 87% water, 4 to 5% lactose, 3% protein, 3 to 4% fat, 0.8% minerals, and 0.1% vitamins. Milk and milk products contribute not only nourishment to the consumers, but also livelihood opportunities to farmers, processors, shopkeepers and other stakeholders in the dairy value chain.

Introduction

India possesses one of the largest livestock populations in the world, which is more than 515 million with the top position in cattle (199 million), buffalo (105 million), goat (141 million) and sheep (91 million), poultry (385 million) (DAHD, 2009). Out of the total livestock in the country, around 38.2 per cent are cattle, 20.2 percent are buffaloes, 12.7 per cent are sheep, 25.6 per cent are goats and only 2.8 per cent are pigs. All other animals are less than 0.50 per cent of the total livestock population. India has a large genetic diversity of livestock containing 30 breeds of cattle, 10 breeds of buffaloes, 42 breeds of sheep, 20 breeds of goats and 7 breeds of camels. Further, the country has 14 per cent of the world’s cattle population and 57 per cent of the world’s buffalo population and is on top in terms of the buffalo population and at 2nd position in terms of the total cattle population in the world. Of the total buffalo and cattle breeds of the world, approximately 75% and 20% respectively are available in Asia and 15% and 5% in India.

1. INTRODUCTION

Agricultural Extension in Trinidad and Tobago is searching for a way to effectively use Information Communication Technologies (ICTs) to improve the delivery of services to the farming community. The notion of a demand-driven extension service seems to appeal to the Ministry of Agriculture, and many believe that ICT has the potential to become a primary enabler to improving the extension service.

The country has a population of 1.3 million with one of the highest per capita incomes in Latin American and the Caribbean (US$16,090 in 2007). Oil and gas account for 40 per cent of GDP and 80 per cent of exports. The unemployment rate is 5 per cent, and the labour market is characterized by chronic shortage, high price and low productivity particularly in the agricultural sector (Government of the Republic of Trinidad and Tobago, 2008). One of the government’s objectives is to develop a vibrant agriculture sector to reverse the decline of agriculture. The government’s operational plan 2007-2010 identifies a model for transformation which includes joint ventures with the private sector, investments to develop farms via Government to Government arrangements, and improvements in infrastructure and communication (Republic of Trinidad and Tobago, 2007).

Introduction

Poverty has been described as a situation of “pronounced deprivation in well being” and being poor as “to be hungry, to lack shelter and clothing, to be sick and not cared for, to be illiterate and not schooled. Poor people are particularly vulnerable to adverse events outside their control. They are often treated badly by institutions of the state and society and excluded from voice and power in those institutions.” Lack of access to resources is a unifying characteristic of poverty in all its manifestations. The poor lack ownership of or access to assets such as land, water, forest, dwelling units, credit, literacy, longevity, voice and capital-both physical and social. Those who are severely below the poverty line are largely involved in subsistence type activities for which they get exploitatively poor returns despite suffering extreme physical hardship and undertaking grave risks so as to earn a meager income. Since earnings are below even the margins of existence, expenditure and survival needs exceed income. This often results in the need to borrow small amounts of money at usurious interest rates of as much as 120 per cent per annum (Mehta, 1996) when borrowing is not possible, hunger is suffered. Their inability to change the power relationships results in scarcely available common resources (such as even drinking water) or public funds meant for poverty alleviation being misappropriated and diverted through manipulation by the locally powerful or corrupt. Since there are no mechanisms for grievance redressal this could result in social tension, despair or a combination thereof.

Introduction

The Integrated Watershed Development has come to be recognized internationally as an important holistic approach to natural resources management and poverty reduction, wherein promoting the concept of sustainable development. In the Indian context, watershed development has come to be acknowledged as key and discrete units in rural development which forms an important vehicle for achieving the objectives of increased production and availability of food, fodder and fuel restoration of agro ecological balance and in improving the livelihood status of the village communities.

In line with the above, the conceptualization of Integrated Watershed Development Project Hills-II (initiated in September 1999) has been built up on the success of IWDP Hills-I project with a laudable vision to arrest environmental decline, boost agricultural growth, and ensure better management of scarce land and water resources and reducing poverty dimensions in the Siwalik & Karewas regions, which are one of the most environmentally degraded areas in India. The project area encompasses two sub-watersheds in sub-tropical belt of Siwaliks of Jammu region and two in temperate Karewas of Kashmir valley, covering an area of 1,11,080 ha. Ramnagar and Akhnoor sub-watersheds are located in Siwalik range of Jammu region whereas the sub-watersheds of Rajwar and Rambiara are located in Karewas belt of Kashmir valley.

Abstract

The ever increasing population in India and the world, impeding threats from the climate change scenario and the increasing demand for land resources from the industrial sector calls for improved resource efficiency. The production strategies are changing from input intensive to integrated resource management strategies. The shift is towards adopting the precision farming technologies like addressing the site specific variability and crop needs. Remote sensing technology coupled with GIS has been recognized as reliable tool in agriculture to guide application of fertilizer, pesticides and other farm inputs. With precision farming, technologies such as grid soil sampling, remote sensing, on- the-go sensing, and electronic yield monitoring help farmers gather very detailed information about the heterogeneous makeup of a farm field. Site specific applications means application of required input only where it is required rather than entire fields or adjusting application rates accordingly. This chapter discussed the input management based on the time of intervention - Input management prior to crop sowing, in season crop management and end of the season.

Keywords : Management zones, soil variability and Remote Sensing

Abstract

Women empowerment means capacity of womenfolk to participate as equal partners in cultural, social, economic and political systems with much appreciated and gladly accepted by the society. Acceptance of unequal gender norms by women are still persisting in the society. Moreover, ignorance prevails in rural areas and subordination to men is considered as god-will by the womenfolk. Food, health and education are prioritized to boys and girls’ destiny is linked to surplus resource of the family if any, available. Gender inequality exists in every nation on the planet. Women’s disempowerment is all over the world, comprising countries of east and west so empowerment of women has become one of the most important concerns of 21st century’s world. More than one third of the world’s adults, most of them women, have no access to printed knowledge, to new skills or to technologies that would improve the quality of their lives and help them shape and adapt to social and economic change. There are 130 million children who are not enrolled in primary school and 70 per cent of them are girls. Women and girls around the world are more likely to live in poverty due to discriminatory and unjust economic policies, pervasive gender inequality, war and instability and climate change. Human society has to work for sexual and reproductive health and rights, freedom from violence, economic justice, and leadership as these are the critical building blocks for women’s rights. When a woman has these rights, she can be strong, safe, powerful, and heard. Cultural and religious factors are hurdles to women empowerment so the greatest need of the hour is to change the social attitude towards women. There is need to envision a world where all women, girls, and trans people have a voice and choice in the work they do. They are paid equal wages in safe and secure workplaces and they have access to justice and rights. Strengthening women’s leadership should be priority area because it is an integral part of social perception towards women status. The future of women’s human rights depends on a strong pipeline of diverse young women leaders, as well as on creating opportunities for leaders from different generations and movements to learn from each other. Long lists of international and national initiatives are available on the websites of various governments and United Nations but the tangible results are still awaited mainly because of poor/ half heartedly implementation.

Abstract

February 14, 2019 marks the third anniversary of the One Billion Rising campaign, a new escalation in violence against women that calls for a radical shift to end the global epidemic of abuse that women face worldwide. Violence against women continues to be on rise. This ill-omened barrier to achieving equality, development, peace as well as to the fulfillment of women and girls’ human rights has gone viral. The National Coalition against Domestic Violence reports that 1.3 million women are victims of domestic abuse each year. Violence against women is a serious problem in India, too. Overall, one-third of women age 15-49 have experienced physical violence and about 1 in 10 has experienced sexual violence. It is very disturbing as well as discouraging to think that a country that praises womanhood through epics and their devotion to goddesses can be so demeaning and indifferent when it comes to the common women living in the country. Amid environment of bleak hope, yog with multiple benefits of physical, psychological and mental stresses offers a ray of hope for women. Yog means connectivity with oneself that ignites power to understand strength of one’s own innerself, builds confidence to think of innovative attainments, endure the atrocities of external world and stay moralized. Yog classes run throughout the world providing relief to billions. Yog therapies are in operation to cure social stress, mental fatigue and physiological disorders etc. More research on yog, yog therapy and yogic interventions aided by political and social will are needed to have its effective implications on the women empowerment and sustainability of human world.

A marketing strategy of a business is the game plan of an organization for approaching its target market effectively. Marketing strategy is also used to target the prospective customer and converting them into loyal consumers for the brand and services being offered by the companies.

A marketing strategy is the building block of a marketing plan and consists of the value which the company wants to offer, its key message which the company wants to convey to the target market and other elements which are key in the area of marketing.

13.1 Introduction

In the previous chapters, we have considered different tests of significance based on normal distribution, F distribution, student’s t distribution and Chi-square (x²) distribution which are frequently applied by the users of different disciplines of applied sciences and social sciences. In this chapter some more tests of significance are considered which have not been covered in those chapters. These tests are also based on t, F, Fisher’s z transformation,  and some other test statistics are also discussed one by one in the following sections.

13.2 t Test for Testing the Significance of an Observed Sample Correlation Coefficient r ^xy

Let r be the observed sample correlation coefficient based on a small sample of size n drawn from a bi-variate normal population with population correlation coefficient r. The standard error of r is given as

Evaluation Theory vs Practice

Theory based evaluation is an approach to evaluation (i.e., a conceptual analytical model) and not a specific method or technique. It is a way of structuring and undertaking analysis in an evaluation. A theory of change explains how an intervention is expected to produce its results

What are Evaluation Theories?

1.1 Introduction

The state of Uttarakhand was formed in November 2000. At the state level, it is the Department of Women’s Empowerment and Child Development that has overall responsibility for formulating and implementing schemes relating to Women’s Empowerment. As the nodal agency, the responsibility for preparing the Women’s Policy was given by the Government of Uttarakhand to Department of Women’s Empowerment and Child Development. Presently the Government of Uttarakhand is running various schemes/programmes through the different departments of the Government to bring about women’s development and their empowerment. For lack of an overarching policy that would have provided a common understanding and a unified vision, each department has defined and operationalized empowerment through its own prism and from its own perspective and understanding. In the case of some departments, the stated goal is not to bring about women’s empowerment, but rather, the emphasis is on bringing about their overall efficiency and economic development.

4.1 Introduction

The research setting pertains to the comprehensive details of a specific area’s social environment where the study is carried out. The study area typically encompasses a distinct geographic region such as a state, district, block, or gram panchayat area, chosen based on the convenience of the researcher who possesses sufficient knowledge about the locality, including its communication infrastructure. This ensures easy access to every part of the area for collecting data.

Migration is a complex phenomenon that has significant implications for individuals, communities, and countries worldwide. It involves the movement of people from one geographical location to another, either within a country or across international borders. The research setting of migration refers to the specific context in which migration patterns and processes are studied. Understanding the research setting is crucial for comprehending the underlying factors, dynamics, and consequences of migration.

4.2 Profile of the State

4.2.1 General Information of the State

West Bengal is a state located in the eastern part of India, situated along the Bay of Bengal. It has a population of over 91 million people and covers an area of 88,752 square kilometres (34,267 square miles). West Bengal ranks as the fourth most populous and thirteenth-largest state in India in terms of area, and it is the eighth-most populous country subdivision in the world. The Bengal region, which is a part of the Indian subcontinent, shares borders with Bangladesh to the east, Nepal to the north, and Bhutan to the northwest. It also shares boundaries with the Indian states of Jharkhand, Odisha, Bihar, Sikkim, and Assam. The state capital is Kolkata, which is the third-largest metropolitan city and the seventh-largest city in India by population.

13.1 Introduction
Having navigated the foundational statistical methods, advanced analytical techniques, visualization strategies, and the intricate world of Numerical Weather Prediction and Climate Data Analysis, we now arrive at a pivotal point in the chapter “Specialized Applications and Future Trends.” This chapter is dedicated to exploring how the comprehensive understanding and methodologies developed in previous chapters are being applied to address some of the most pressing environmental and societal challenges of our time. Furthermore, we will look ahead to the emerging technologies and interdisciplinary approaches that are shaping the future of atmospheric and climate science.
The atmosphere is not an isolated system; it profoundly influences, and is influenced by, human activities, energy systems, water resources, and urban environments. Therefore, the insights derived from meteorological and climate data are increasingly being tailored and integrated into highly specialized applications that directly impact public health, economic sustainability, and urban planning. This goes beyond traditional weather forecasting to provide actionable intelligence for complex, real-world problems.
In this chapter, we will delve into several key areas where atmospheric science is making critical contributions:
• Air Quality Analysis and Pollutant Measurements: We will explore how meteorological principles are applied to understand the transport, dispersion, and transformation of atmospheric pollutants. This includes the methods for measuring various pollutants and the sophisticated dispersion modeling techniques used to predict air pollution levels and their spread, crucial for public health warnings and environmental regulations.

Definition of Communication
Communication is the process through which individuals exchange information, ideas, emotions, and meaning through verbal and non-verbal methods. It is a fundamental human activity that enables people to connect, share knowledge, and understand one another. Communication can take place in many forms, including spoken language, written text, body language, gestures, facial expressions, and other symbols.
Effective communication involves not just the transmission of a message but also ensuring that the message is accurately received and understood by the intended audience. For communication to be successful, both the sender (person delivering the message) and the receiver (person receiving the message) must actively participate in the process, with the goal of achieving shared understanding.
Key Components of Communication
• Sender – The person or entity initiating the message.
• Message – The content or information that the sender wishes to convey.
• Encoding – The process of transforming thoughts into symbols (words, images, gestures).
• Channel – The medium through which the message is sent (spoken word, written text, electronic media).
• Receiver – The person or group for whom the message is intended.
• Decoding – The process by which the receiver interprets the message.
• Feedback – The response provided by the receiver, indicating whether the message was understood.

Introduction 
Digital infrastructure has emerged as the foundational pillar for transforming governance systems in the 21st century, particularly in developing countries like India that aspire to harness digital technologies for inclusive growth and efficient public service delivery. Defined broadly, digital infrastructure encompasses the integrated ecosystem of hardware, software, connectivity networks, data centers, cloud platforms, and institutional frameworks that enable the generation, storage, transmission, and utilization of digital information (Verdecchia, Lago, & de Vries, 2022; Clark, Marin, Ardic Alper, & Galicia Rabadan, 2025). In the context of governance, such infrastructure provides the critical backbone for digital public goods, service delivery platforms, and real-time decision-making systems. India’s strategic thrust towards digitalization since the early 2000s, and particularly after the launch of the Digital India programme in 2015, reflects an ambitious attempt to leverage digital infrastructure not merely as a technological upgrade but as an instrument of governance reform, economic empowerment, and social equity (Ministry of Information & Broadcasting, n.d.-a). Digital infrastructure forms the bedrock of contemporary digital governance, unlocking scalable, secure, and inclusive public service delivery in India. It comprises high-speed broadband networks, State Data Centres, identity platforms, cloud systems, and institutional linkages essential for capturing, processing, storing, and transmitting data across government and citizen-facing services (Aapti Institute, 2024). Since the launch of the National e-Governance Plan (NeGP) in 2006, India’s efforts have focused on strategic infrastructure investments like State Wide Area Networks (SWANs), State Data Centres (SDCs), and Common Services Centres (CSCs) to decentralize digital access across states and districts (Ministry of Information & Broadcasting, n.d.-a). Building on the foundation laid by the National e-Governance Plan, the Digital India Mission—initiated in December 2015—elevated infrastructure development to a national policy priority by integrating platforms such as

Introduction 
The transformative potential of digital technologies in reshaping governance and development paradigms is increasingly evident, particularly in rural contexts. In India, where nearly 65% of the population resides in rural areas, the imperative to leverage digital tools for inclusive growth has never been more critical. Rural digital governance refers to the strategic use of information and communication technologies (ICTs) to enhance service delivery, improve livelihoods, and foster participatory development in rural areas. It encompasses various applications from digital health, education, and financial inclusion to precision agriculture, market linkages, and entrepreneurial enablement, each designed to address long-standing structural inequities. Historically, rural regions have been perceived as passive recipients of policy support and welfare interventions. However, with the advent of digital technologies, these areas are increasingly positioned to become both demand drivers through rising incomes and service consumption and supply hubs, contributing to national productivity through digitally enabled livelihoods and enterprises. By enhancing access to essential services, improving the efficiency of traditional sectors such as agriculture and handicrafts, and facilitating diversification into non-farm activities like rural tourism and agri-processing, digital governance catalyzes rural transformation. However, the success of rural digital governance is contingent upon adopting a holistic and contextualized approach. One-size-fits-all digital interventions often fail to address the nuanced realities of rural economies. Effective rural technology deployment requires carefully diagnosing local needs, infrastructural capabilities, and livelihood profiles. In this regard, a participatory approach to technology selection and design grounded in the realities of rural life ensures greater relevance, uptake, and impact. Publicprivate partnerships (PPPs) play a pivotal role in scaling such initiatives, with governments providing scale and legitimacy while private actors contribute innovation, technical know-how, and financial investment.