eChapters

Efficient irrigation is essential for maintaining crop productivity while conserving increasingly limited water resources. This chapter explores the application of artificial intelligence to smart irrigation systems and irrigation scheduling. It considers water balance and evapotranspiration modelling and examines AI architectures used for irrigation decision-making. Sensor technologies and Internet of Things integration provide continuous information about soil, weather and crop conditions. Optimization algorithms can use these data to determine appropriate irrigation schedules and improve water-use efficiency. The chapter also discusses emerging AI-based irrigation approaches and global case studies. Challenges associated with implementation, data requirements, system limitations and ethical considerations are examined, followed by future directions for intelligent and sustainable irrigation management.

Water scarcity and inefficient irrigation are major constraints to sustainable agricultural production. This chapter presents smart irrigation as an AI-enabled approach for optimizing water application according to crop and environmental requirements. Smart irrigation systems integrate real-time information from soil-moisture sensors, weather forecasts, remote sensing, and crop growth models. Machine learning and predictive analytics can determine appropriate irrigation timing and quantities while reducing unnecessary water use. The chapter discusses the principles, components, technologies, and applications of AI-driven irrigation systems. It also highlights their contribution to improved crop productivity, nutrient-use efficiency, soil health, and climate resilience, while considering challenges such as investment costs, data accessibility, connectivity, and technological literacy.

Conventional fertilizers often exhibit low nutrient-use efficiency, resulting in nutrient losses, soil degradation, water contamination and unnecessary production costs. Nano-fertilizers offer controlled and targeted nutrient delivery through formulations engineered at the nanoscale. Their high surface-area-to-volume ratio can improve nutrient availability, plant uptake, growth, bulb quality and storage performance while reducing conventional fertilizer requirements. This chapter explains the nature, modes of action and potential benefits of nano-fertilizers in onion production. It also considers nano-biofertilizers, smart nutrient-delivery systems and nano-sensors. Particular attention is given to manufacturing cost, nanotoxicity, effects on soil microorganisms, farmer accessibility and the need for standardized safety and regulatory frameworks.

Efficient nutrient and water management is essential for achieving high onion productivity without degrading soil and water resources. Excessive fertilizer use, poor irrigation practices, groundwater depletion, nutrient imbalance and climate variability can reduce input efficiency and environmental sustainability. This chapter presents soil testing, integrated nutrient management, site-specific nutrient application, microbial interventions, residue management, nanotechnology and digital soil mapping. It also covers drip and sprinkler irrigation, scheduling, fertigation, mulching, rainwater harvesting and other water-conservation practices. Technologies such as SPAD meters, GreenSeeker, GPS, GIS, drones, remote sensing, sensors, artificial intelligence and IoT systems facilitate real-time monitoring, need-based application and climate-smart management of agricultural resources.

Plant breeding is a revered custom that proceeds with the most common way of creating further developed plant cultivars, which traces all the way back to the beginning of agriculture . People started to observe levels of greatness among the plants in their fields not long after the underlying regulations of cereal grains, from which they put away the seeds of the best to develop new harvests. Early plant-reproducing advancements were the trailblazers to such simple choice methodologies. Individuals from the whole way across the world investigated and developed almost 7000 assortments of food plants during Breeding 1.0, which started quite a while back. Breeding stage 2.0 began in the late nineteenth and mid 20th hundreds of years when an inbreeding discouragement was found. During this time, many advances in plant breeding were made in the study of reproducing itself, like duplicated field preliminaries, controlled intersections, factual examinations, formal exploratory plans, crossover breeding, family-based appraisals of reproducing values, and exact yield estimation at scale (e.g., with Muldrow joins). Breeding 3.0 came to around a long time back, when sub-atomic markers and genomic information started to enhance phenotypic information. Breeding 4.0 is quickly drawing nearer, with immense omics information and the fast advancement of informatics innovations. Starting from the start of the plant breeding cycle, beginning from crop training, new methodologies interceded by various mechanical upheavals are being advanced in the science consistently to build the speed, exactness, and Precision in plant reproducing. In the previous 10 years, this science has proactively brought the green upheaval by creating semi-predominate, supplement responsive, and crossover cultivars. In any case, taking into account the populace development, diminishing arable land, and Climate changes, these have requested more exact, high throughput moves toward that can intervene to foster harvest cultivars at a more prominent speed, with higher exactness, and accuracy. In such manner, the field of Artificial brainpower has as of late arisen, which has been recommended to have unprecedented potential to help with breeding Climate versatile Precisionyields. Climate strong harvests keep up with or increment crop yields

The fate of smoke from a wild land fire depends in large part on the airflow carrying it away from the fire which can involve a complex interaction of eddies that may occur near the ground or expand beyond the atmospheric mixed layer (Fig.11.1). The buoyancy of smoke and ambient atmospheric conditions determines how high and how quickly the smoke rises, and thus where it travels.
The smoke plume distribution is affected by number of factors as indicated below:
• Elevation: The smoke plumes at higher elevations disperse the smoke particles more vertically while plumes from lover elevations disperse more horizontally.
• Temperature: The large difference between the smoke and surrounding air affects the Plume dynamics. The buoyancy force increases the vertical velocity of the particles, while heat diffusion increases surrounding air temperature.
• Moisture: The presence of moisture can modify the distribution of smoke and chemistry of smoke particles.
• Topography: Topography can influence emissions that remain within the mixing zone.
• Atmospheric stability: Atmospheric stability can affect the distribution of smoke.

ABSTRACT

Hyperspectral data are generally noisier compared to broadband multispectral data. Therefore, it is desirable to smoothen the reflectance spectra. Smoothing needs to preserve an absorption feature while simultaneously removing noise. It is very essential to optimize the smoothing filter to minimize disturbances to the statistical properties of the original data. This study was carried out to see the effect of Fast-Fourier Transform (FFT) based smoothing technique on the statistical properties of vegetation spectral response and to see the effect of the filter size. The data used for the present study is the reflectance spectra data obtained from space borne EO-1 onboard Hyperion sensor. Filter sizes were varied between 3 and 15 with the increment of 2, i.e. 3, 5, 7..........15. Paired t-test was carried out between the original and the smoothed data (for the selective bands) for all the filter sizes in order to see the extent of distortion with changing filter sizes. Our study revealed that the distortion in the spectra increases with the increase in the filter size. Beyond filter size 11, the number of locations within the spectra where the smooth spectra were statistically different from its original counterpart increased to 14 and reaches 21 at the filter size 15.

11.1. Definition

Jones: Variations or modifications of any aspect of social process, social patterns, social interaction or social organization.

Gillin and Gillin: Variations from the accepted modes of life; whether due to alteration in geographical conditions, in cultural equipment, composition on the population or ideologies and whether brought about by diffusion or inventions within the group.

Davis and Mac Iver: Change in the relationships.

Research setting refers to the detail information of an area where the study has been conducted. The study area, generally comprises of a particular geographical area viz. a state, district, block, or gram panchayat area selected according to the convenience of the investigator who possesses adequate knowledge regarding the location, communication facility etc. of the locality so that he/she can easily approach each and every corner of the area for data collection. Here. in this study the data collection was done mostly over telephone based on the interview schedule due to Covid-19 pandemic situation. Besides the investigators must also have the basic knowledge about the socio demographic background of the people so as to have an easy understanding of their knowledge, attitude and behavior. 

The research setting provides specific details about the location where a study is conducted. This study area typically encompasses a particular geographical region, such as a state, district, block, or gram panchayat, chosen according to the research requirements. The researcher must have a thorough understanding of the locality, including its communication methods, in order to effectively access all parts of the region for data collection.

In social science research, a clear comprehension of the characteristics, attitudes, and behaviours of the individuals within the study area is essential. Without this understanding, accurately conceptualizing, perceiving, and interpreting data becomes challenging. To obtain a comprehensive understanding of the implications and behavioural intricacies of the local people representing a broader community in the referenced study area, researchers must have a solid grasp of these factors. Therefore, this chapter critically analyses the socio-demographic background of the residents in a rural setting.

The term “research setting” denotes the context in which research inputs and elements are absorbed, interacted with, and mutually contribute to the system’s overall performance.

The research setting is crucial because it shapes and influences the interactions of various factors and components. Therefore, conducting a study on how farmers perceive persuasive issues and other topics requires a local context that takes into account the unique natural environment, demographics, crop ecology, institutional framework, and socio-cultural factors. For example, when writing a paper about the social behaviour of chimpanzees, it is important to include details about the research setting. This may include information such as where the chimpanzees were studied (in the wild or in captivity), the number of chimpanzees that were observed, whether they were part of the same social group, the geographic location, the time of the study, the season/weather conditions, the availability of resources such as food, water, and shelter, and any environmental factors that were present.

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.

Sustainable Development A social cause is a problem that influences a considerable number of individuals within a society. There are many environmental issues the India like pollution, waste management sustainable development, rain water harvesting etc.

4.1 Urban Issues

(i) Water Problem

The world’s population is increasingly found in the cities. Now a days, throughout the developing world, urbanization trends are gaining speed and are irreversible. From a technical standpoint, it is easier to provide water and sanitation services to people living closer together in urban settings than in dispersed rural communities. However, the costs of meeting the needs are much higher per capita, and are growing. The health risks posed by the lack of sanitation increase exponentially as densities increase and as people share drinking water and sanitation resources.

The urban environmental sanitation crisis in developing countries is taking a large health, economic, and environmental toll on all city residents. Willingness to pay for basic water and sanitation services is often high in peri- urban neighbourhoods, provided that services are appropriate, effective, and affordable. The use of a strategic sanitation approach should helps to build capacity within implementing agencies and enhances the ability of communities to make sustainable sanitation improvements.

(ii) Energy Problem

Energy is basic to development. Modern energy services are powerful engine of economic and social opportunity: no country has managed to develop much beyond a subsistence economy without ensuring at least minimum access to energy services for a broad section of its population. It is not surprising to find, therefore, that the billion who live in developing countries attach a high priority to energy services. On average, these people spend nearly 12% of their income on energy. At the same time, the provision of energy services especially through the combustion of fossil fuels and biomass can create adverse environmental effects. In rich countries, much attention is directed to the regional and global consequences of fuel combustion, because many of the local effects have been controlled at considerable expense over the past half- century. In developing countries, the local environmental problems associated with energy use remain matters of concern that are as, or even more, urgent than they were in industrialized countries 50 or 100 years ago. Further, it is the poor who suffer most severely from such problems, because it is they who are forced to rely upon the most inefficient and polluting sources of energy services for lack of access to better alternatives.

According to the Indian economic survey of 2018, more than 50% of the Indian workforce is employed in the agricultural sector. Agriculture contributed to 17–18% to the country’s GDP. Agriculture’s share in India’s economy is less compared to the industrial and services sectors. The industrial and service sectors have higher growth rates. The significance of the agricultural sector in India’s economic and social growth goes well beyond. Nearly 60% of India’s families depend on rural incomes. In addition to this, the majority of India’s poor population (around 70 %) lives in rural areas. Also, as the population is growing at a fast rate, food security in India depends on producing cereal crops and in increasing the production of fruits, vegetables and milk to sustain the needs of a growing population. To achieve this we need a productive, diversified, competitive, and sustainable agricultural sector. India is the world’s largest producer of pulses, spices and milk. It has the world’s largest cattle herd and the largest area under wheat, rice, and cotton. India is also the second largest producer of rice, wheat, cotton, sugarcane, farmed fish, sheep & goat meat, fruit, vegetables and tea.

Introduction

Social disinterestedness could be an anticipation that applies issues of amends and candor to policy. Aback the Sixties, the anticipation of amusing disinterestedness have been activated in an advance of institutional contexts, calm with apprenticeship and accessible administration. The anticipation of amusing disinterestedness is about afflicted aback to the works of philosopher and Plato. Definitions of amusing disinterestedness will vary, about all focus aloft the ethics of amends and fairness. Disinterestedness in fashionable societies involves the role of accessible directors, United Nations bureau breadth assemblage accountable for authoritative assertive that amusing casework breadth assemblage delivered equitably. This bureau demography into application actual and accepted inequalities a part of groups; candor relies on this amusing and actual context. Amusing and bread-and-butter bigotry has abiding furnishings on societies and as well the bloom of populations. The acceptance from an ample alter of disciplines breadth assemblage acclamation disinterestedness in avant-garde agency that. Solutions alter from acclamation cyber banking accretion aberration to apprenticeship quality, cyber banking action to bent amends reform and affluence of accession disinterestedness problems that anon and alongside accept an aftereffect on animal bloom and well-being. The aggregation seeks to acknowledgment such queries as, will a bigger pay advance superior of action measures, calm with health, nutrition, and ancestor’s circadian life? As added cities ahead hikes in their pay, this assay can acquaint approaching choices apropos the after-effects on staff, their families, employers, and as well the community. An administration of assets, resources, and liabilities a part of the individuals during a nation or association that’s advised accurate and simply. Whereas some accept that bread-and-butter disinterestedness needs that anybody voters pay an agnate quantity, others accept that the abundance paid care to wait aloft the abundance that every accountable will allow to pay while not disproportionate hardship. Put simply, disinterestedness is possession. Aural the affairs world, disinterestedness refers to stock. Aural the accounting and aggregation disposition world, disinterestedness (or added normally, shareholders’ equity) refers to the abundance of basic contributed by the abode owners or the acumen amid a company’s absolute assets and its absolute liabilities. The fashionable era is casual through an alluringly and annealed aggressive laissez-faire abridgement that’s about there’s no acknowledgment to actualize some individuals at an advantage while not creating others worse off. This cessation refutes the claims of ambitious bread-and-butter planners, United Nations bureau assert that markets breadth assemblage disorganized free-for-alls which centralized chief would be added economical. During a class disconnected association the advantages of amusing appear can’t be aggregate appropriately by the all categories of individuals. It’s simple to appetite agitated with the abstraction that markets appreciate appropriate and to again draw inappropriate abstracts apropos policy. It’s basic to arouse that authority is apropos a way to achieve goals; it doesn’t say something apropos what your goals care to be. Locution that the bazaar aftereffect is economical doesn’t beggarly that that aftereffect is about alluring for all the individuals. In fact, in some affairs analive action could advisedly baldest accessory bulk aftereffect that’s not economical.

10.1. Social value

Ideas which help an individual to discriminate whether a particular object or behaviour is good or bad, desirable or undesirable.

Norms: Times rules which govern the action

Normative behavior: People are expected to behave in accordance with the values held by the individual.

S.C. Dood defined the value as “desiderata” i.e., anything desired or chosen by someone, sometime.

Value may be considered as attitude-related attribute that are projected upon people, objects and situations.

Introduction

Land serves as storage for water and nutrients for plants and other living organisms, but the land resources are limited. India has about 18% of world’s population and 15% of livestock population to be supported from only 2% geographical area and 1.5% of forest and pasture lands (Rao et al., 2015). The per capita availability of agricultural land has declined from 0.48 hectare in 1951 to 0.16 hectare in 1991 and is likely to decline further to 0.08 hectare in 2035. This decline in per capita land availability in the country is mostly on account of rising population (GOI, 2010). 

4.1 Demographic Profile of Watershed Communities

• Population Distribution: Examining the spatial distribution and density of population within watershed areas, including rural settlements, urban centers, and peri-urban zones. Analyzing population distribution within watershed areas involves understanding how people are distributed across various types of settlements, including rural, urban, and peri urban zones. Here's a breakdown of each:

a. Rural Settlements: These are typically smaller communities dispersed throughout the watershed area, often engaged in agriculture, forestry, or other primary industries. Population density in rural areas tends to be lower compared to urban centers. The distribution of rural settlements can be influenced by factors such as terrain, availability of natural resources, and historical land use patterns.

b. Urban Centers: Urban areas within watershed boundaries consist of cities and towns with higher population densities and more developed infrastructure. These areas are characterized by a concentration of economic activities, services, and amenities. Population distribution within urban centers can vary widely, with some areas experiencing high population density in downtown cores and others having more spread-out suburbs.

Livestock plays a subsidiary role in the farm as far as food production is concerned. Their role in absorbing the huge quantities of crop residues, coarse grains, cereals by-products and farm left-over and returning valuable manure to the soil to sustain their fertility for generation is significant. Livestock in general and dairying in particular is emerging as a driving force in the growth of agricultural sector in India. Dairying is the backbone of the marginal farmers and landless labourers spread over numerous villages scattered throughout the country. It is primary source of income and employment for many of India’s poor. This sector can play an important role in determining future prospects for the employment generation and poverty alleviation in the country.

After the Independence of India, the occupational avenues have undergone a tremendous change. With the spread of education and other amenities of life the traditional occupational structure has considerably changed. The Gujjars who had been a nomadic tribe are extensively becoming sedentary. The Gujjars are one of the important pastoral communities of India. Different social scientists and anthropologists have documented the origin and social aspects of the present Gujjars, who lived a pastoral life. Gujjars have their own Gujri language, which they generally speak among themselves. But they correspond with other people in Urdu generally. The main source of income for Gujjars is dairying. Consumers also prefer milk sold by them, as the quality of milk is good. The role of Gujjars to the rural and urban economy cannot be undermined.

Though information on sociological and anthropological aspects of the pastoral communities has been generated in various studies elsewhere but socio-economic studies are scanty. No concerted efforts have so far been made to study the socio economic of Gujjars, particularly with reference to various important economic parameters like resource structure, family composition, education status, economic status.

The present chapter is an attempt to study the socio economic aspects of one of the well known pastoral communities- the Gujjars of the Jammu district.