eChapters

Large Language Models have moved beyond experimental research environments and now support conversational agents, coding assistants, recommendation systems and intelligent decision-making applications. However, delivering these services to millions of users requires extremely low latency, high throughput, scalability, security and cost efficiency. This chapter examines the engineering principles required for real-time LLM inference and large-scale deployment. It decomposes end-to-end latency into model execution, network and queuing components and discusses techniques for optimizing each stage. Model-level approaches such as quantization, knowledge distillation, LoRA, QLoRA and speculative decoding are examined for reducing computational requirements while maintaining model quality. At the infrastructure level, tensor and sequence parallelism, GPU and TPU acceleration, efficient batching, autoscaling and cloud-native deployment strategies are considered. Key-value caching and speculative decoding are discussed as important methods for reducing response time in interactive applications. The chapter also addresses privacy, confidential computing, real-time PII protection, energy consumption and monitoring of model performance. Practical deployment examples demonstrate how these techniques can support responsive, secure and efficient AI services at production scale.

In this chapter of machine learning algorithms we will cover the basic algorithms of machine learning with their implementation using dataset and discuss their pro’s and cons of algorithms for better understanding and how to use them in any project or with any dataset to get an correct result which can useful for research or study.

Key Component

We defined a data set composed of audio, images and binary labels that provided an understanding of how we could train a model from snippets to classifications. This sort of problem is one of many kinds of machine learning problems when we try and predict a specified unknown label given known inputs, provided that a dataset of examples for which labels are known is called supervised learning. Let’s discus what are the major key components we have to get there

This chapter converts policy concepts into practical learning activities related to agricultural Extension and Advisory Services. Readers are guided to analyse national and state policies, compare extension frameworks across countries and interview key actors in government, universities, commodity boards and development organizations. Exercises examine the evidence policymakers require, the roles of public, private and civil-society stakeholders and policy bottlenecks affecting district-level delivery. Institutional mapping, compliance audits, consultations, convergence scorecards and policy-reform notes provide structured diagnostic tools. The chapter develops analytical, communication, interviewing and problem-solving skills while encouraging learners to design decentralized, accountable, gender-responsive and climate-sensitive improvements to extension policy and implementation.

The rapid expansion of Large Language Models has created two major development ecosystems: open-source models that emphasize transparency, accessibility and community participation, and proprietary models that emphasize centralized control, commercial support and scalable services. This chapter provides a comparative examination of these approaches across technical, economic, ethical and operational dimensions. Open-source models typically provide access to model architectures, weights and development tools, enabling researchers and organizations to inspect, modify, fine-tune and deploy models for specialized applications. Their community-driven nature can accelerate innovation and reduce barriers to experimentation. Proprietary models, in contrast, generally provide controlled access through commercial APIs or platforms and may offer optimized infrastructure, enterprise support, security mechanisms and large-scale deployment capabilities. The chapter compares the two approaches in terms of transparency, customization, licensing, scalability, accessibility, security, cost, accountability and innovation potential. It also discusses the advantages and limitations of each model for startups, academic institutions, enterprises and researchers. Rather than presenting a universal winner, the chapter emphasizes that model selection should depend on application requirements, available resources, governance needs, technical expertise and desired levels of control.

Abstract

Vegetable crops are inherently rich sources of various health-promoting nutrients and thus they play an important role in balancing our daily diet. Being excellent source of vitamins and minerals, vegetables have a relatively variable nutrient content per unit of energy. These nutrients can be increased by proper selection of vegetables in our diet. Whereas their intrinsic quality maintains human health, the extrinsic quality has significance in determining acceptability by the consumer. Vegetables also have medicinal properties. These diversified and highly nutritive crops are of great importance in alleviating hunger and malnutrition. The present production of vegetable crops is, however, not enough to meet per capita daily dietary requirement as per dietitians’ recommendations. The vegetable production, therefore, need to be almost doubled by 2025 to meet requirement of ever increasing population from diminishing land, water and other natural resources. Although, there has been a trend of increase in production and productivity of vegetable crops since liberalization of seed trade in 1988 by Government of India, yet it has not been commensurate with the requirements. Compared globally, we are far behind in productivity of vegetable crops in spite of being second largest producer after China.

Abstract
    
The amount of data being collected across a wide variety of fields today far exceeds our ability to reduce and analyze without the use of automated analysis techniques. In addition, the whole data may not be of user interest and imperfect. Therefore, it is very challenging to organize this data in formal system, which provides outputs in more relevant, useful, and structured manner. There are many techniques available to retrieve knowledge from this voluminous data. This paper discusses different rough computing based information retrieval techniques to obtain meaningful knowledge from large amount of datasets. We also discuss a real life example to show the viability of proposed research.

Introduction

Northeastern Region of India consists of eight States, viz., Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Tripura and Sikkim.  The northeastern states are located between geographical ordinates, 21° to 29°30' N and 89°46' to 97°30' E. The region, surrounded almost on all sides by Bhutan, China, Myanmar and Bangladesh, which can be broadly divided into two characteristic zones viz., Mountainous and Plain. Although distinguished in the altitude differences, both the mountain and plain are closely interrelated in terms of natural resource sharing and economic flow. According to the physiographic characters this region is divided into five physiographic units, the Assam Himalayas, the Brahmaputra valley, the Shillong plateau, the Barak valley and the Southeastern hill region. Except the Brahmaputra and Barak valleys in Assam and the Imphal valley in Manipur, the terrain is hilly and mountainous, only making 65% of the northeast an undulating land with elevations ranging from 200 to 900 m above MSL

No society can ever desire to achieve a long-term goal of sustainable development unless it builds upon its own knowledge, traditions, ethical foundations and technological endowments. The knowledge of the people particularly in drought and flood prone regions, hill areas, tribal areas and other high risk environments, has to become a building block of new technological improvements. Knowledge happens when our expectations are belied, modified and sometimes confirmed. Because the asymmetry in our expectations is influenced by our access to resources, institutions, technology and cultural platforms, we get different kinds of knowledge, even when we confront similar situations Gupta (2005). In any community living close to nature, asymmetry in knowledge generation and its utilization is inevitable. The experts exist not just in our profession, but in every profession.

SYNOPSIS

Food security is a complex issue, linked to availability and access to food, malnutrition in the population, economic development, environment, and local and global trade. Malnutrition hinders healthy growth and proper development of the human immune system affecting neurological and cognitive development especially in children.

Abstract

Mentoring is a personal enhancement strategy through which one person facilitates the development of another by sharing known resources, expertise, values, skills, perspectives, attitudes and proficiencies. The concept of mentoring is not new. Guru – Shishya traditions in every old civilization are the examples of mentoring by which culture, technology and knowledge have been successfully disseminated from older generation to newer generation. Being an important career building factor, now more emphasis is given to develop mentoring relationship in organization level. In office culture mentoring facilitates an environment in which an individual grows both as a person and as a professional.

Applications of Remote Sensing

The era of satellite remote sensing was open in the 1960s when cameras and electronic sensors were mounted on spacecraft. Nowadays there is a big assortment of satellite systems actively recording information about the Earth. A wide variety of imagery is available from satellites. Both active and passive sensors, operating from the microwave to the ultraviolet regions of the electromagnetic spectrum collect a large amount of information about the earth’s surface every day. Each of the systems vary in terms of their spatial, spectral, radiometic and temporal resolution. Those characteristics play an important role in defining which applications the sensor is best suited for. The main benefits of satellite remote sensing are the following:

1. Basic Information and Agrarian Status

1.1. Geography

Japan is a crescent-shaped archipelago consisting of four main islands named Hokkaido, Honshu, Shikoku, and Kyushu, and of a few thousand small islands, with a total area of 3,77,907 square kilometers. The country is mountainous, with forests accounting for 66 per cent of the total area, and arable land 13 per cent.

1.2. Climate

The archipelago is almost 3,000 km in length and stretches from north to south, and  includes subartic, temperate and subtropical zones.

In winter, the side of the country facing the Sea of Japan, include Niigata and Fukui, is known worldwide for its heavy snowfall, but the side facing the Pacific Ocean has little or no snowfall. From spring to fall, there is no big difference between these areas. The summer season starts with an almost one month long baiu (rainy season) around June. After the baiu, the temperature rises to more than 30 degree Celsius, and it become very humid. In the fall, a few typhoons hit Japan, occasionally causing a major disaster.

Introduction

With the advent of modern agricultural technology, especially during the period of the Green Revolution in the late sixties and early seventies, there was a continuous surge for diversified agriculture, primarily on economic considerations. The changes in cropping pattern, however, are the outcome of interactive effect of many factors which can be broadly categorized into the following five groups-

Resource related factors like irrigation, rainfall and soil fertility.

Technology related factors viz. seed, fertilizer, and water technologies on one hand and marketing, storage and processing on the other.

Household related factors like food and fodder requirement as well as investment capacity of the farmers.

Price related factors covering input and output prices and economic policies that affect these prices.

Institutional and infrastructure related factors pertaining to farm size and tenancy arrangements, research, extension and marketing systems and government regulatory policies.

Asia-Pacific Association of Agricultural Research Institutions (APAARI) Maliwan Mansion, 39 Phra Atit Road, Phra Nakorn, Bangkok 10200, Thailand

Selected ICT-enabled Agricultural Development Initiatives

• International Initiatives
• National Initiatives

Success Stories on Agricultural Information Systems

• South Korea’s Agricultural Information Service – A NARS Initiative
• ITC’s e-Choupal – A Private Sector Initiative

Lessons Learned on Secrets of Success

Extent of Adoption of Technology

Benefits and Impact at National and Regional Levels

Key words : Participatory GIS (P-GIS), Geo-Participatory Rural Appraisal (Geo-PRA) Social Mapping, Resource Mapping, Seasonality Maps, DGPS.

Participatory GIS

Geographical information System (GIS0 and Geographics Information Technologies (GITS) are no more restricted to the elite group of the society. Planners are busy in searching ways in merging community participation with GIS in the context of urban planning, environment equity, sustainable development etc. (Aitken and Michael, 1995, Craig and Ehwood, 1998; Talen, 2000 and Sieber, 2000). In all the cases, common thing is the linking of community participation and GIS in a diversity of social and environmental contexts. Through development, demonstration and modification of methodologies by academics and practitioners the concept of Participatory GIS (P-GIS) emerges. It is an outcome of a spontaneous fusion of participatory forms of development planning with modern information technologies. Experts gave considerable thoughts on the probing questions like whether a bottom up GIS could be successfully developed, how many community participation could be incorporated into GIS and to what context such participation would serve only to legitimize conventional top-down decision making. From these reflections only the concept of people’s participation GIS arose.

INTRODUCTION

Nowadays, any issue related to “information and communication technologies in agriculture (ICTs)” is extremely interesting and it belongs to the modern subject-matters of the agricultural economics science. Unambiguously the above phrase is the buzz remark for the agricultural extension scientists considering that the process of communication is fundamental to extension, training and passing on information. Thus, learning processes, dissemination of innovations and social change cannot be explained without reference to communication (Albrecht et al., 1989).

An efficient communication strategy, especially when combined with a wide range of available ICTs, utilises the advantages of both personal and impersonal media communication. This can be achieved by building up, promoting and using communication networks and modern technologies. Under the term “network” we understand the complex of communication channels which ensure that all members of the target group receive the message more than once, both from various personal contacts and media. This calls for the use of existing communication relationships, the dissemination of information by multipliers and influential individuals and a range of media which are appropriate to the type of information and for reaching the target groups. As well thought out, communicative approach can partly compensate for the often lamented shortage of advisers provided that one is in a position to communicate a message in various ways, to evaluate feedback and then to take action accordingly.

Introduction

India accounts for 16.7 per cent of the world’s food consumers. India’s size in terms of food consumers is many times larger than the average size of the rest of the countries, except China. At the time of independence in 1947, India was in the grip of a serious food crisis, which was accentuated by the partition of the country. The demand for food far exceeded supply, food prices were ruling at high levels and more than half of the populations were living below the poverty line with inadequate purchasing power. With high rates of population growth, the dependence on imported food increased further. However, the situation improved considerably after the mid-1960s, when new agricultural development strategy and food policies were adopted in the country. The production of staple cereals increased substantially, mainly contributed by productivity improvements. The dependence on food imports reduced and the country became a marginal net exporter of cereals. There was also an improvement in physical and economic access of households to cereals and other nutritive food products. The proportion of households reporting hunger went down and the incidence of economic poverty was reduced. The objective of this paper is to review the Indian approach to tackling the severe problem of food insecurity, which it faced immediately after independence. It reviews the evolution of food policy, the major policy instruments deployed, intervention in food marketing system, and the current status of food security/insecurity. The paper also identifies the lessons emerging from the experience of India. The paper has been divided into eight sections. The second section briefly presents the evolution of the food policy in India and the approaches to food security. The current status of food security and insecurity is analyzed in section 3. The next three sections detail the three major instruments of the food security policy. Price support policies pursued in the country are described in section 4. Section 5 examines the magnitude of input subsidies in Indian agriculture. Direct food and other assistance programs for improving household food and nutrition security and magnitude of food subsidy are presented in section 6, while some salient features of food marketing system that affect food security are given in section 7. Lessons emerging from the Indian experience are presented in the last section.

1.1 INTRODUCTION

Geographic Information System (GIS) is the new emerging field and grows at very rapid pace. Now GIS is a billion dollar industry with applications in varied disciplines. At present, GIS is being used by professionals from various disciplines. In this decade, GIS is being used by experts who are good in GIS technology for various applications. The development trend indicates that GIS will be used by common man in near future and at the same time, advanced GIS analysis will be carried out by GIS experts.

Any technology is developed out of necessity and GIS is of no exception. When a large amount of data were available for water distribution systems, road network, sewer lines, telecom lines, electricity lines, gas pipe lines, state wise population, natural resources etc, it is important to store, maintain and retrieve the data for applications. It is not possible to manually browse through the large amount of paper records. Also even if the data is available in an unorganized way in the computerized environment, it is not useful. Hence if the data are referred to locations in earth surface and the data are stored in an organized way, it is possible to retrieve and analyse the data for applications. Hence the solution is GIS and developed today into reality. Developed countries are using GIS widely in many areas but developing countries are moving towards the development of GIS database for their resources.

Remote sensing, aerial photography, cartography, surveying and other field instruments for attribute data collection contributes to the data acquisition. Cartography, surveying, geography, geodesy contributes for mapping process. Disciplines like computer science and statistics, mathematics involved in processing and analysing data . Computer science and mathematics involved in storing the data structure.

GIS maps are intelligent. It has many advantages compared with paper map in this digital age.

Spatial data means data which are referenced to earth. Maps, satellite imageries, aerial photographs are example of spatial data. Attribute data which are attached to spatial data are called as aspatial data or non-spatial data.

If these data are brought into GIS then it is stored in a standard format, it is possible to update, share, retrieve, manipulate and analyse quickly. Much of the time and money is saved in case of reproduction and better decisions could be made

Abstract

Beekeeping or modern apiculture is the art and science of rearing, breeding and managing honey bee colonies in artificial hives for economic benefits. Beekeeping has evolved into a farming enterprise that involves the use of sophisticated and artificial techniques to keep honey bees for bee products. It is estimated that beekeeping is practiced in about four lakh villages and provide employment to over 3.50 lakh persons. The existing vegetation wealth of India can sustain six million bee colonies which would produce six lakh metric tonnes of honey besides generating part time employment to more than 15 million rural and tribal households. Rural women have long working hours, spent on food production and processing and/or waged labour, in addition to family care and domestic duties. However, beekeeping represents one opportunity for income generation which need not be time consuming and can fit in well with women’s priority activities. Population, female (% of total) in India was reported at 48.18 % in 2017, according to the World Bank collection of development indicators. Rural population (% of total population) was reported at 66.46 % (83.3 crore) in 2017 as compared to urban population (37.7 crore). There are fewer women than men beekeepers, but women beekeepers are found throughout the developing countries of every continent. Participation of rural women and youth in beekeeping activities provides a unique opportunity to improve rural livelihood and hence poverty reduction. Beekeeping as an agro-industry presents tremendous potential and requires attention on part of planners, policy makers, development agencies and researchers on the one hand and wider publicity about the commercial and scientific uses of beekeeping products on the other. In order to increase income accrued from beekeeping activities, promoting and support of training on processing of secondary bee products to women and youth beekeepers are important. Stakeholder’s involvement in promoting and support beekeeping awareness campaigns is crucial to enhance the contribution of the sector for livelihood improvement and environmental conservation.

1.1 Meaning

The English word 'communication' is derived from the Latin communis, which means common sense. In other words, it is the transmission and interaction of facts, ideas, opinions, feelings, or attitudes. Communication is a two-way process that involves transferring info rmation or messages from one person or group to another. This process goes on and includes a minimum of one sender and receiver to pass on the messages. These messages can either be any ideas, imagination, emotions, or thoughts. Communication is a Latin word that means "to share".

Mass contact method in extension education involves reaching a large audience or community through various communication channels to disseminate information, raise awareness, and promote behavior change. Unlike individual or group contact methods that involve direct interaction with specific individuals or small groups, mass contact methods are employed to reach a broader audience efficiently. These methods leverage mass media, such as radio, television, newspapers, social media, and public events, to deliver educational messages and engage with the target population.

Objectives

1. Dissemination of Information: To provide accurate and relevant information on agricultural practices, technologies, health, education, and other relevant topics to a wide audience.

2. Awareness Building: To raise awareness about important issues, challenges, and opportunities within the community, encouraging informed decision-making and action.

3. Behavior Change Promotion: To promote positive behavioral changes, such as adopting improved agricultural practices, adopting healthy behaviors, and participating in community development initiatives.

4. Community Mobilization: To mobilize community members to participate in extension programs, community projects, and collective action for social and economic development.

5. Knowledge Sharing: To facilitate the sharing of knowledge, experiences, and best practices among community members, extension agents, and stakeholders.

Theoretical orientation involves the scholarly and theoretical process that shapes the precise definition and written content of a complete research project. It involves incorporating conceptual ideas, logical discussions, and the quest for knowledge to develop a theory that aligns with the defined objectives and research design established during the research process.

3.1 Migration

Migration refers to the process of individuals or groups of people moving from one place to another with the intention of establishing a new permanent or semi permanent residence. It involves the relocation of people across geographical, political, or social boundaries, typically over long distances. Migration can occur within a country (internal migration) or involve crossing international borders (international migration).

People migrate for various reasons, including economic opportunities, seeking better living conditions, escaping persecution or conflict, joining family members, pursuing education or career opportunities, or being forced to leave their homes due to natural disasters or environmental factors. The motivations behind migration can be complex and multifaceted, influenced by a combination of push factors (negative circumstances in the home country) and pull factors (attractive opportunities in the destination country).Migration can take different forms, such as labour migration, where individuals move to another region or country for employment purposes, or refugee migration, where people flee their home countries due to fear of persecution or violence. It can be temporary or permanent, with some migrants returning to their home countries after a period of time, while others settle permanently in their new location and may eventually become citizens of that country.

3.1 Introduction
Understanding the Earth’s atmosphere—its intricate dynamics, ever-changing weather patterns, and long-term climate trends—hinges critically on the quality and detail of the observations we collect. While remote sensing technologies offer broad perspectives from a distance, a fundamental and indispensable category of atmospheric data comes from in situ observations. The term “in situ,” meaning “in place” or “on-site,” precisely describes the nature of these measurements: they are direct, physical readings taken within the atmospheric volume itself.
These direct observations are the bedrock of meteorological science. They provide the ground truth for atmospheric conditions, offering unparalleled precision in measuring parameters such as temperature, humidity, atmospheric pressure, wind speed and direction, and the characteristics of precipitation. Unlike indirect sensing, in situ methods involve instruments physically interacting with the air, yielding highly accurate and localized data points. This granular detail is crucial for a multitude of applications: it allows for the precise calibration of remote sensing instruments, provides essential validation for complex numerical weather prediction models, and enables scientists to dissect and understand fine-scale atmospheric processes that influence local weather.

Weather, while often benign and essential for life, can also manifest in powerful and destructive forms, posing significant threats to human life, property, and the environment. This chapter, “Weather Hazards,” will delve into the detailed nature of these potentially dangerous atmospheric phenomena.
We will explore a range of significant weather hazards, including severe storms such as thunderstorms, tornadoes, and hailstorms, which can bring intense winds, torrential rainfall, and damaging projectiles. We will also examine the characteristics and impacts of tropical cyclones (hurricanes, typhoons), known for their devastating winds, storm surges, and widespread flooding. Furthermore, we will discuss the dangers associated with extreme temperature events, including heat waves, characterized by prolonged periods of excessively hot weather, and cold waves, marked by extended periods of dangerously cold temperatures. We will also cover the challenges posed by heavy snowfall, blizzards, and ice storms.
For each hazard, we will investigate the meteorological conditions that lead to its development, the typical characteristics and intensity scales  used to classifyit, and the primary impacts it can have on society and the natural world. Understanding the formation, behavior, and potential consequences of these weather hazards is crucial for effective forecasting, issuing timely warnings, and implementing mitigation strategies to enhance safety and resilience.
Join us as we embark on a detailed exploration of the forces of nature that can transform familiar weather into formidable hazards.

Introduction 
The evolution of digital governance in the 21st century has significantly redefined how public institutions function, deliver services, and interact with citizens. This transformation, enabled and accelerated by Information and Communication Technologies (ICTs), is not merely technical, but deeply institutional, cultural, and political. As states move toward more digitized, networked, and citizen-responsive systems, drawing upon theoretical frameworks that help explain, interpret, and evaluate these complex dynamics becomes essential. Theories provide the conceptual scaffolding necessary for analyzing the design, implementation, outcomes, and unintended consequences of digital governance practices. At its core, a theory systematically explains a phenomenon or set of phenomena. It involves a coherent set of interrelated concepts, assumptions, and propositions that define causal relationships and offer predictive insights (Kerlinger, 2000). According to Prasad et al. (2017), theory represents a systematic grouping of interdependent concepts that offer a framework to organize existing knowledge, explain observable events, and predict yet-unobserved outcomes. Hollander (1967) adds that theories contain one or more functional statements or propositions that articulate relationships between variables to account for empirical realities. Central to any theory are concepts, the building blocks that articulate the causal linkages and assumptions within a conceptual system. When structured together, these elements form a deductive framework for reasoning and explanation. In sum, theory allows us to understand what is happening in digital governance and why, how, and with what implications. Digital governance, distinct from narrower terms like e-government or e-governance, is a multi-layered process involving the reconfiguration of power, the redesign of institutions, the engagement of diverse stakeholders, and the transformation of public value creation in a digitally mediated environment. It encompasses dimensions of public administration, information systems,

The increasing capabilities of Large Language Models have created strong demand for real-time AI services, but their computational complexity makes low-latency deployment difficult on conventional systems. Transformer models require substantial memory, high computational throughput and efficient data movement, creating challenges for mobile devices, embedded systems, edge platforms and latency-sensitive applications. This chapter introduces hardware–software co-design as an integrated strategy for addressing these challenges. Rather than optimizing hardware and software independently, co-design aligns model algorithms with the characteristics of processors, memory hierarchies, accelerators and communication systems. The chapter examines hardware platforms including GPUs, TPUs, FPGAs and ASICs, together with software techniques such as quantization, pruning, knowledge distillation, operator fusion and memory scheduling. Hybrid architectures are discussed for reducing latency, improving throughput, lowering energy consumption and increasing scalability. Applications in healthcare, finance, autonomous driving, robotics, industrial IoT and real-time translation illustrate the importance of efficient inference. The chapter demonstrates that coordinated optimization across the full computing stack can bridge the gap between LLM capability and practical real-time deployment while maintaining acceptable accuracy and reliability.

• A Brief Description of Visual Basic
• Types of Application in VB
• Creating the Project
• Steps in Building a Visual Basic Application
• Visual Basic Data Types
• Managing Variables 
• Constants
• String Functions
• Operators in Visual Basic 
• Controlling Program Flow
• Looping
• The InputBox( ) Function
• Methods
• Procedur
• Control Array
• Msgboxes
• Data Access
• Data Access Objects (DAO)
• Microsoft Jet Database Engine 
• Remote Data Objects
• Microsoft ActiveX Data Objects
• Data Control
• Object Linking and Embedding (OLE)

1. INTRODUCTION

There is increasing recognition that information and knowledge are now at the heart of socio-economic development. Information and Communication Technology (ICT) and broadband are enabling tools and infrastructures for accessing, developing, using and sharing information and knowledge. Accordingly, Irish Government policy has focused on promoting the adoption and use of ICT in the home, in education and in the workplace.

There have been significant increases in levels of engagement with ICT in Ireland in recent years. Almost two-thirds of all adults now have access to the internet, compared with only 1 in 20 in 1996, while four out of every five adults own a mobile phone. This chapter critiques the level of adoption of ICTs among the farming community and compares this with levels of adoption by the general population. It analyses the use of ICTs by the government and by public and private extension agencies in Ireland and identifies constraints to their adoption.

The Ministry of Agriculture has been among the most enthusiastic supporters of the Government of Ireland’s policy by promoting the adoption and use of ICTs among its clients. It sought to facilitate easier transmission of information to clients, to minimise the collection of new data by using existing electronic information and to integrate with clients’ own systems. These projects are described in this chapter.

The use of ICTs by the public extension system is also critiqued; it has been innovative in using ICTs to disseminate information to its clients and the use of mobile telephony has been particularly effective. Internet based services to deliver online training and advisory information have also been developed and are critiqued.

1. INTRODUCTION

Sudan lays close to the east-centre of Africa between Latitudes 4° and 2° and longitude 22° and 28° east. It is the largest country in African continent (8.3 per cent) and Arab world and the ninth largest in the world (1.75) covering 2.59 million square kilometers of twenty six states (El Mustafa, 2005). It shares borders with Egypt, Libya, Chad, Central Africa, Zaire, Uganda, Kenya and Ethiopia. It is a criterion for absolute continent in terms of the extent and variety of vast agricultural lands, vast agricultural and pastoral country with rich cultural diversity. It homes about forty million people, seventy five per cent of which inhabit rural areas, speaking over a hundred and thirty indigenous languages and dialects. The country is a gentle sloping land with the exception of Jebel Marra Massif, Red Sea hills, Ingessena hills and the Nuba Mountains (Ahmed et al., 2004).

The Nile and its tributaries traverse it for about 900 km. The rainfall ranges from less than 50 mm in the northern desert to more than 1500 mm in the tropical rain forest in the south.

In general, the soils include aridsols (sand dunes and sandy soils), aridisols and vertisols (clay pockets in the valleys) in the North, vertisols in the central and southern clay plains and oxisols in the south. Variations in rainfall, vegetation and soils resulted in the formation of seven main ecological zones classified as follows: desert (0-75 mm, 28.1 per cent,), semi-desert (75-300 mm, 19 per cent), low rainfall savanna on sand (300-400 mm, 26.6 per cent), low rainfall savanna on clay (400-800 mm, 13.3 per cent), high rainfall savanna (800-1300 mm, 9.5 per cent), Montana vegetation region (800-1000 mm, 0.3 per cent) and flood region (800-1000 mm, 3.2 per cent) which embedded in twenty six states.

As we have seen how artificial Intelligence can be useful in agriculture but the nest question always come in mind is that from where and how we can start to learn and what are the model of learning an artificial Intelligence. As Artificial Intelligence is a huge part of Computer Science which means we need an language as medium to perform it and we always prefer Python for that which is very dynamic and easy to learn. In this chapter we will learn about python basics so that in further implementation of artificial Intelligence it will be helpful to us.

I. Introduction

Python is a remarkable language that can claim to be easy and strong. You will be amazed to see how simple it is not to focus on the language you are programming, but on solving the problem. Guido van Rossum was the creator of the Python language which is named after the BBC show “Monty Python’s flying Circus”.

Python is formally introduced as:

“Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.”

Abstract

Invasion of field crops, orchards and waste-lands by weeds is a matter of concern for farmers and foresters because of the drag they inflict on productivity and the increase in cost of production involved in weed control. Science-based technologies offer workable and reliable recourse to minimizing and/or eliminating these losses to promote healthier and rewarding livelihoods. While studies have been conducted to combat brush-weed in waste-land and plantations, little work has been done on such aspects as biological control of weeds, development of herbicide resistance in weeds, and allelopathic interface of crops and weeds. In this chapter, attempt is made to assess the economics of weed management in major crops. Aspects of R&D on weed management that should be addressed for safeguarding yield in the future are highlighted with particular reference to situation in western Himalaya.

The Himalayan region is recognized amongst the 34 global biodiversity hotspots. The Indian Himalayan Region (IHR) comprises of five biogeographic provinces, covers approximately an area of 591 thousand km² and extends from Jammu and Kashmir in the north-west to the Arunachal Pradesh in the east. The IHR is a source of great diversity of food, fuel, fodder, timber, dye and medicinal plants. It comprises about 18% of India and is more than 2,800 km long and 220 to 300 km wide, with altitudinal range of 200–8,000 m. The IHR alone supports about 8,000 species of angiosperms, 44 species of gymnosperms, 600 species of pteridophytes, 1,737 species of bryophytes, 1,159 species of lichens and 6,900 species of fungi. The state Himachal Pradesh is divided into four conspicuous zones, namely Shivalik/lower montain zone, mid-hills/middle mountain zone, high hills/temperate zone and cold dry zone. Five rivers namely Satluj, Beas, Ravi, Yamuna and Chenab with a large number of their tributaries flow through the state. The flora of the state consists of about 180 families comprising about 1,038 genera and about 3,400 species. The region is facing greater and more difficult challenges than ever before in achieving balanced economic growth, alleviating poverty, and sustainably managing the renewable natural resources. People’s dependence on forest and related natural resources is historic, cultural, and inevitable as other viable alternatives for earning a living have been few. The consequence of this trend has been the commercialization of forest products, mainly non-timber forest products (NTFPs). The NTFPs are the major bioresources among various natural resources available and provide various ecosystems services to the mankind. Like other parts of the IHR, in Himachal Pradesh people earn their livelihood from the forests in many ways i.e., earning cash income; satisfying their needs for fuel, medicine, shelter, and supplementary food; using traditional agricultural inputs such as leaf litter, fodder, small tools, and water; and cultivating land inside the forest boundaries as forest encroachers. Their dependence on forest resources is both historic and cultural to the extant that it is an integral component of the forest ecosystem of the region. Although, large amounts of NTFPs are collected by different communities in the state, no comprehensive study on the amount collected, number of people engaged in collection and trading, and the marketing chain involved has been carried out to date. Therefore, the present study focuses on conservation and sustainable utilization and market potential of different tradable medicinal plants/(NTFPs) in Himachal Pradesh, north western Himalaya.

Abstract

Fusion is a well known entity in various fields (e.g. medical imaging, weapon detection, flood monitoring etc.) that surmises information originating from several modalities. This chapter is an attempt to assort the various image fusion techniques available for human face recognition and to put a review of the advancements being made by the different researchers. The various types of fusion those have been used or may be used for face recognition have also been discussed here.

The term bioinformatics was coined by Paulien Hogeweg in 1979 for the study of informatics processes in biotic systems. It was primarily used in genetic and genomic studies, particularly in those areas of genomics involving large-scale DNA sequencing. Bioinformatics involves application of information technology to store, organise and analyse the vast amount of biological data available in the form of sequences and structures of proteins (the building blocks of organisms) and nucleic acids (the information carrier). There are umpteen ways to define bioinformatics, mainly owing to its rapid evolutions.

Abstract

People are the most important and valuable resources of any organization. Dynamic people can build dynamic and growth-oriented organizations. No wonder that late Homi J Bhava advocated on identification and selection of a dynamic scientist and building a laboratory ‘for’ him and ‘around’ him and not the reverse, that is, building a laboratory with certain aim and then search a suitable candidate to steer it. Effective employees can contribute to the effectiveness of the organization. Competent and motivated people can make things happen and enable an organization to achieve its goal. Therefore, organizations should continuously ensure that the dynamism, effectiveness, competency, and motivation of its people remain at a high level. Human resource development is a continuous process to ensure the development of employee dynamism, effectiveness, competencies and motivation in a systematic and planned manner.

Sustainable agriculture requires sincere attempt by the farmers to be sustainable in their approach. The practices are neither new nor difficult. But the minds of the farmers are so much inclined to inorganic farming that it is not so easy to divert their minds for sustainable agriculture.

Abstract

Water is the elixir of life, livelihood, food security and indispensable to all economic activities. It is going to be a constraint in agriculture in near future due to the competitive demands from other sectors. Agriculture is the largest user of limited water resources. The Gangetic Bengal basin once described as the areas of excess water now suffers from acute dearth of water during the drier months. Water management holds the key for maximum agricultural production through optimizing the utilization of available water resources in a systematic manner. Drip-irrigation provides unique agronomic, water and energy conservation benefits that address many of the challenges facing irrigated agriculture. In intensive agriculture, both fertilizer and irrigation management have contributed immensely in increasing the yield and quality of crops. The method of fertilizer and irrigation application affects the efficiency. Drip-fertigation is the most efficient and less expensive agronomically sound method of fertilizer application along with irrigation water. It has the potential to ensure that the right combination of water and nutrient is available at the active root zone, in synchrony of the plants’ total and temporal requirements and stabilizes the yield and quality of produce. Fertigation saves fertilizer nutrients as it permits applying fertilizer in small quantities at a time matching with the plants’ nutrients’ need. To address these problems, AICRP on Irrigation Water Management, 

Key words : GPS, GIS, DSS, SDSS, RS, Digital Elevation Model (DEM), Ground Water Exploration, Conjunctive Use of Surface and Ground Water, Digital Terrain Modeling (DTM).

Introduction

Water is one of the most precious gifts of nature to living beings and particularly to the mankind. On account of erratic distribution of rainfall both in time and space, the country is subjected to cycles of floods and droughts. With the increase in demand for water for various purposes and to mitigate the twin problems of floods and droughts faced by the country, a coordinated approach for optimum utilization and proper management of this precious resource is of prime importance. In addition, proper development and management of both irrigation and drainage systems are essential. This would require integrated management of surface water as well as gorund water. All the water related problems whether mitigating droughts or floods or better irrigation management practices, dictate for adoption of state of the art water management practices. Water management deals with the control, distribution and allocation of water flows and the treatment of rivers and catchments, consequently, solutions to many of the problems in water management require the knowledge and expertise from diverse sources.

1. INTRODUCTION

The contribution of Extension and research to Israel’s agricultural productivity and profitability is a collaborative effort with research hailing back to the late 19^th century. It facilitated technological innovation in agriculture, transfer of information, training of farmers and connectivity. These were in effect a dictate of continuously deteriorating agricultural terms of trade, crippling water shortages and severe climate and soil constraints.

The Israeli Extension Service’s (IES) adoption of Information and Communication Technologies (ICTs) significantly enhanced extension’s capabilities and scope of activities. ICT empowered extension’s ability to develop, introduce and adopt innovative agricultural technologies and collaborate with research and other partners. Adoption of ICT as one of the tools of technological innovation dramatically improved the transfer and management of information, production chain efficiencies and integration within and with the agricultural sector. These were and are critical success factors contributing to Israeli Extension, Research, Services and Farmers ability to sustain a profitable and thriving agriculture sector. As such the overall results are a major contribution to rural viability and an illuminating case study of technological innovation adoption.

Remotely gathered data are available from a range of sources and data collection techniques is often one type of tool that is not always found within the public domain easily. This is larger due to the fact that most of the data are acquired by equipment is expensive to build and maintain. However, there are many types of basic imagery, high-quality imageries are readily available widely at subsidized costs, particularly the purpose intented.

Introduction

Entrepreneurship has a significant impact on the country’s economic growth and standard of living. As a start-up founder or small business owner, the person contributes not only towards oneself but also towards the local community, state, region, and country. Starting a new venture requires resources and facilities. Small scale enterprises generally find it difficult to have these resources and facilities of their own. Adequate finance is life and blood to start and run enterprises as it facilitates an entrepreneur to have enough funds to procure land, labour, materials, plant, machinery etc. Recognizing it, the government has come forward to support small entrepreneurs by providing them funds and other needed facilities.

1. Introduction

Fish forms an integral component of the Indian food basket and it is more so for the population living in the eastern and north eastern States of India. The eastern states of India include States such as West Bengal, Bihar, Jharkhand and Odisha. As per a current estimate of 2023 (https://www.indiacensus.net), approximately a population of 31.66 crore, i.e. 22.15% of the country’s total, live in these four States. Due to the suitable geographical terrain, these states have been bestowed upon a large number of riverine stretches, a large number of natural reservoirs of varied sizes, beels and floodplain wetlands, and a huge plain terrain supporting ponds and tank resources. Due to the very nature of the land and the popularity of fish among the populace, these eastern Indian states have also served as the main stage for the development of fisheries and aquaculture during the last centuries in the country. Further, many of the epoch making technologies for the development of fisheries in the inland waters as well as aquaculture in the ponds have originated from this region.

1.1. Introduction

Research in simple terms refers to search for knowledge. It is a scientific and systematic search for information on a particular topic or issue. It is also known as the art of scientific investigation. Several social scientists have defined research in different ways.

In the Encyclopaedia of Social Sciences, D. Slesinger and M. Stephenson (1930) defined research as “the manipulation of things, concepts or symbols for the purpose of generalizing to extend, correct or verify knowledge, whether that knowledge aids in the construction of theory or in the practice of an art”. According to Redman and Mory (1923), research is a “systematized effort to gain new knowledge”. It is an academic activity and therefore the term should be used in a technical sense. According to Clifford Woody (Kothari, 1988), research comprises “defining and redefining problems, formulating hypotheses or suggested solutions; collecting, organizing and evaluating data; making deductions and reaching conclusions; and finally, carefully testing the conclusions to determine whether they fit the formulated hypotheses”

6.1 Introduction
Our journey through remote sensing has, thus far, focused on the remarkable capabilities of various platforms and sensors to observe Earth’s atmosphere and surface. From the localized, high-resolution insights provided by groundbased instruments like Wind Profilers and SODARs, to the expansive, global coverage offered by an array of satellite-borne imagers, sounders, radars, and lidars, we’ve seen how a continuous stream of invaluable meteorological data is acquired.
However, the mere act of collecting this data, no matter how sophisticated the technology or comprehensive the observations, represents only the initial phase of its lifecycle. The true power and utility of remote sensing data are unlocked only when it can be efficiently organized, securely preserved, and readily available to the diverse community of meteorologists, climate scientists, researchers, and operational forecasters who rely on it daily. This necessitates a profound understanding of the principles and practices governing data formats, data storage, and data access.
The sheer volume, velocity, and variety of remote sensing data pose significant challenges. Petabytes of information are generated annually, requiring robust infrastructure and standardized methodologies to ensure its integrity, interoperability, and long-term usability. Without effective strategies for managing this deluge of information, the potential of remote sensing to enhance weather prediction, advance climate science, and inform critical decision-making would remain largely untapped. 

The purpose of the study is to gather and use pertinent data to further the primary goalsof the investigation. Any review of literature revolves around the work’s origin, author, chronology, and significant content that have an obvious impact on the current study. It begins with a history for gaining into posterity through current status.

A. Health, Hygiene and Nutrition of Rural Women
Imtiaz et al., 2014, conducted a descriptive cross- sectional study from March to June 2012 to evaluate the personal hygiene practices among rural women in a particular Bangladeshi community. In order to evaluate two fundamental aspects of personal hygiene, hand washing and access to clean drinking water, 150 women of varying ages were chosen from the villages of Garibpur and Tangurpur in Jessore district. A convenient non-probability sampling technique was used and data was gathered by face- to- face interview using semi-structured questionnaire. Among the respondents 87.33% had some form of schooling, 12.67% were illiterate. The majority of the participants almost 87.34% had washed their hands before eating, 13.74% before eating break fastand none of the respondents washed their hands before consuming any dry food. Themajority of the respondents almost 95.34% washed their hands after urinating; among them 82% used soaps, 16% used ash and 2% used earth. To lead a healthy- life it is crucial to practise good personal cleanliness and to utilise safe drinking water. They should be regularly inspired to do so through health education activities. Rao et al., 2012, carried out a study on Indian women’s diet and nutritional status. Women’s status in society has an impact on their health. Female infanticide, a higher death rate, a lower sex ratio, low literacy rates and a lower level of employment for women in the workforce are just a few examples of how the demographic consequences of women have manifested themselves. The degree of women’s nutritional status is influenced by the cultural norms, practices, and socio-economic consideration. Bureau of National Nutrition Monitoring has conducted periodical surveys on diet and nutritional status of various population groups since 1972.For the objective of this inquiry, information on the food and nutritional status of the tribal and rural population in nine Indian states was gathered in 1998-99 and 2005-06 respectively. Rural and tribal women consumed fewer calories overall than recommended, with the exception of various vegetables, roots and tuber. The study found that women who were pregnant or nursing had in sufficient nutritional intake, particularly a micronutrient shortage that is termed as hidden hunger. Nearly 4.9% of tribal women had a substantially greater prevalence of goitre. Tribal women suffer from under nourishment and have more prevalence of chronic energy in sufficiency than rural women.

This table presents the distribution of 13 independent variables (x1-x13) and 5 dependent variables (y1-y5) in terms of their Minimum, Maximum, Mean, Standard deviation, Variance, and Coefficient of variation. Here, it is depicted that the average age (x1) of the respondents is 28.614 and thestandard deviation is 8.653. The C.V. value for the variable is 30.241. So, it indicatesthat the distribution of the variable is highly consistent. From the table, it is depicted that the average education (x2) of the respondents is 9.514. So, almost on average, the individual education is 9 for every respondent and standard deviation is 3.471. The C.V. value for the variable is 36.486. So, it indicates that the distribution of the variables is fairly consistent. From the table, it is depicted that the mean family size (x3) of the respondents is 4.143. So,almostonanaverage,the family size is 4 for every respondent.The value of standard deviation is 1.477. The C.V. value for the variable is 35.657. So, it indicates that the distribution of the variable is fairly consistent. From the table, it is depicted that the mean income per year (x4) of the respondents is 143142.857. The value of standard deviation is 67274.537. The C.V. value for the variable is 46.998. So, it indicates that the distribution of the variables is fairlyconsistent. Here, it is depicted that the mean per capita income (x5) of the respondents is 39880.400. So, almost on an average, the per capita income is 40000 for every respondent. The value of standard deviation is 26024.645. The C.V. value for thevariable is 65.257. So, it indicates that the distribution of the variables is fairly consistent. From the table, it is depicted that the mean Workplace distance (x6) of the respondents is 3.008. So, almost on an average, the Workplace distance is 3 for every respondent.The value of standard deviation is1.817. The C.V. value for the variable is 60.392. So,it indicates that the distribution of the variables is fairly consistent.

Traditional Varieties

Symbolic systems provide logical reasoning and explicit knowledge representation, whereas sub-symbolic models offer learning, adaptation and pattern-recognition capabilities. This chapter explains how combining these approaches can create more accurate, adaptive and interpretable intelligent systems. It discusses rule-based systems, logic programming, ontologies, neural networks, fuzzy systems, evolutionary computation and swarm intelligence. Neural-symbolic, neuro-fuzzy, rule-augmented and ontology-aware architectures are examined, along with loose, tight and deep integration strategies. Applications in healthcare, cybersecurity, manufacturing and knowledge-based information systems demonstrate their practical potential. Challenges involving integration complexity, scalability, knowledge engineering, transparency and continuous updating are considered, together with future directions in human-centred hybrid intelligence.

The relationship between man and plant resources of his surroundings is intimate. Of the 350 tribes inhabiting different parts of India, about 171 dwell in Himalayan region. The inhabitants of the mountain areas use native flora for food, fodder, fiber, fuel, timber and for health care of both human beings and their livestock. These plant resources, particularly medicinal and aromatic plants (MAPs), not only meet their health care needs but also support their livelihood. Recently the demand of MAPs has transformed from local and traditional needs to global needs. This has adversely affected availability and quality of raw material as also livelihood and health options of the local people. Most of the raw materials are gathered from the forests, and only a few plants are under cultivation. To avoid rampant exploitation of MAPs from nature, there is an urgent need to establish procedures for their cultivation and organized marketing. The present article deals with strategies and actions to protect livelihood options of the indigenous communities inhabiting mountain areas in western Himalaya as well as promote sustainable utilization of MAPs through scientific and technological interventions.

Introduction

India and China are two major Medicinal and Aromatic Plants (MAPs) producing countries, providing 40% of the global diversity and availability of rare species. The Ministry of Environment and Forests, Government of India has identified and documented over 9,000 species of medicinal plants that are significant for the pharmaceutical industry (AICRPE 1996). Of these, 2,000 to 2,300 species are used in traditional medicines while at least 150 species are used commercially on a large scale (EXIM Bank 1997).