eChapters

The word administration is derived from Latin word Ad + Minister means “to care for” or look after people / to manage affairs.

Why Study Management Theory
Theories are perspectives with which people make sense of their world experiences. A theory is a coherent group of assumptions put forth to explain the relationship between two or more observable facts.
    i.    Theories provide a stable focus for understanding what we experience. A theory provides criteria for determining what is relevant.
    ii.    Theories enable us to communicate efficiently and thus move into more and more complex relationships with other people.
    iii.    Theories make it possible indeed, challenge us-to keep learning about our world.

Honeybees are marvelous insects known to mankind since the prehistoric times. The art of their scientific management is called as apiculture or beekeeping and the place where hives are maintained is called apiary. Beekeeping is a decentralized, forest and rural agriculture based industry, which does not require any raw material. The raw material needed is in the form of nectar and pollen, which is freely available from flowers in nature. Bee hives neither demand additional land space nor do they compete with agriculture or animal husbandry for any input. The beekeeper only needs to spare a few hours in a week to look after his bee colonies. Beekeeping is therefore ideally suited to him as a part-time occupation. Beekeeping constitutes a source of sustainable income for the rural and tribal farmers. It also provides them valuable nutrition in the form of honey. However, in addition to honey, production of bees wax, propolis, pollen, royal jelly, pedigree queen bees, package bees and renting out honey bee colonies for crop pollination are some of the potential areas of apicultural diversification in India (TOI, 2012).

Sustainable sericulture has to take more care about retaining or rebuilding soil quality and health, since it is very high drain on the nutrient content of soil. Sustainability should an evolution criterion in the process of identifying, screening and adopting techno-biological solutions to the sericultural problems. Greater attention should be paid to learn from the indigenous knowledge. In many of the government-sponsored programmes sericulture has been regarded as one of the essential tool for the rural development in the country. As the activities in the sericulture are capable enough to engage the households completely throughout the year and is ideally suited for improving the socioeconomic standards of the rural poor and has often been utilized under various employment programmes in India. As a result, sericulture is being intensively promoted in traditional states like Karnataka, Tamil Nadu, Andhra Pradesh, West Bengal and J & K.

This chapter tries to find out the constraints in adoption of sericulture as subsidiary enterprise the farmers in the Poonch district of Jammu & Kashmir. Since sericulture is not a major activity in the district and farmers never reluctant to cultivate mulberry in their land and allow only dry land for plantation of mulberry and hardly take care thereafter. Under such circumstances the mulberry grows with lesser leaves production and farmers always faced acute shortage of mulberry leaves during silkworm rearing and they did not get the expected return out of the sericulture. Land, water, proper training of mulberry plants, application of fertilizers guarantee high production and productivity over a wide range in the same areas would qualify to be called as sustainable sericulture system in dry/hilly areas. Besides, other components of technology that can ensure sustainability are soil and water conservation, pests control etc.

Adoption

Adoption is a decision to make full use of an innovation as the best course of action available.

Steps in adoption process

Ryan and Gross (1943) were probably the first to recognize that the adoption of a new idea consisted of stages. They distinguished between awareness of hybrid seed cron conviction of its usefulness, trial acceptance and complete adoption of the innovation.

Adoption is essentially a decision making process. According to Johnson and Haver (1955), decision making involves the following steps.

Introduction

Innovation as a new idea, method, or object may be developed by research or by a farmer. Diffusion is a special type of communication on innovations. The proper use of innovation is called adoption. Communication is different from diffusion in the sense that communication covers all types of messages whereas diffusion is concerned with a message of new ideas. The extension workers need to understand the meaning of diffusion, adoption processes, innovation, etc. by which farmers accept new ideas. Adoption is a sequence of thoughts and actions which an individual goes through before s/he finally adopts a new idea. The adoption process is a mental process for passing the new idea to final adoption. In the diffusion process, the new idea spreads from its source of invention or creation to its ultimate users or adopters. Perception is an activity through which an individual becomes aware of objects around oneself and of events taking place.

Elements in the Diffusion of Innovations

The four main elements in the diffusion of innovations are innovation, communication channels, time, and social systems.

The Innovation

Innovation is a new idea expressed in terms of knowledge, persuasion of decision for adoption. The perceived attributes of innovations are relative advantage, compatibility, complexity, trialability, and observability.

Relative advantage: The innovation should have a relative advantage over the existing ideas in terms of economic and social-prestige factors, convenience, and satisfaction. The advantage can be influenced by providing various incentives.

Compatibility: The innovation should be compatible with the socio-cultural values and beliefs of people.

In rural development, the sole aim is to transfer the technology for better living of people. The process by which the technology is transferred to users is called Transfer of Technology. Transfer of technology falls in the domain of adoption and diffusion. Therefore, it is necessary to understand adoption and its related issues. Adoption of sustainable agricultural practices is relatively difficult as people do not find newness in it. The transfer of technology is explained in terms of technology movement from place of generation to the hands of the users.

Introduction

Rice is considered as the most important crop of India both in terms of area as well as value of output. It is estimated to contribute about 2.5 per cent of Gross Domestic Product (GDP) of India and provides employment to a large work force in crop production and in paddy processing.

According to Reinsurance Company ‘Munich Re (2001), costs associated with natural disasters has gone up 14 fold since the 1950. Every year from 1991 to 2001, an average of 211 million people in the world were killed or affected by natural disaster. Described as one of the “Worst Disasters” in recent history the Tsunami travelled 4,500 km across the Indian Ocean in a period of about seven hours causing damage to twelve countries including Sri Lanka, India and Thailand most dramatically impacted, The FAO estimates that in the countries hardest hit by the disaster (Indonesia, Sri Lanka, Maldives, India and Thailand), a total of 47,000 ha of agricultural land has been damaged (FAO, 2005).

Introduction

The most significant commercially grown fruit crop in the country is the mango (Mangifera indica L.), which belongs to the Anacardiaceae family. It’s known as the “king of fruits.” Mango cultivars can be found in the greatest variety in India. Mango farming is thought to have begun in South East Asia. Since about 6,000 years ago, mango has been grown in south Asia.Mango is native to South Asia, from where it has been distributed worldwide to become one of the most cultivated fruits in the tropics.

The major mango-growing states are Andhra Pradesh, Uttar Pradesh, Karnataka, Bihar, Gujarat and Tamil Nadu. Andhra Pradesh rank 1st in area, whereas Uttar Pradesh rank 1st in production and productivity. Andhra Pradesh, Uttar Pradesh, Bihar, Karnataka, Maharashtra, West Bengal and Gujarat together contribute for about 82% of the total production in India.

India to become the second largest fruit producer in the world, after china, with a production of 102481 thousands metric tonnes of fruits from an area of 6930 thousands hectares in 2020-21.The fruit is grown in India, the total area under mango cultivation was 2317 thousand hectare with an annual production of 20386 thousand metric tonnes.(NHB 2020-21).

Mango is well adopted in tropical and sub-tropical climates but it can be grown up to 1,100 meters above sea-level. There should not be humidity, rain or frost during flowering. The temperature between 24 and 270C is ideal for its cultivation. Higher temperature during fruit development and maturity gives better quality fruits. The areas expressed frequent showers and high humidity is prone to many pests and diseases. Thus it can grow best in regions with a rainfall between 25cm and 250 cm. Regions having bright sunny days and moderate humidity during flowering is ideal for mango growing.The farmers 92.20 per cent had problems of pests in their mango trees. The most common pests were the mango seed weevil 48.10 per cent, fruit fly 36.40 per cent, trips 1.30 per cent, aphids 1.30 per cent and the most common diseases were the powdery mildew 46.80 per cent, anthracnose 18.20 per cent and scab 2.60 per cent (Gitonga,2010).

Theworld fashioned and occupied by three fourth of the water. Fisheries activities are an indispensable part in the life and livelihood of the peoples. Aquaculture is the most important role for the upward economic strengthening and social mobility. Most of the inland fish farmers are poor due to lack of financial resource. Because of the poor production through the inland fish culture, the most of the farmers in Tamilnadu are undertaking composite fish culture technology. Demand for fish is rapidly increasing due to the growing population and awareness about the superiority of fish to other meats. The marine and freshwater sectors growth were 2.5 and 8 per cent respectively (Ayyapan and Diwan, 2004).

INTRODUCTION

Digital divide is the gap in opportunities experienced by those with listed accessibility to technology especially, the Internet. This digital divide can be bridged by facility access to scholarly e-resources to the people of developing and undeveloped countries. Apart from the fact that most of the print journals are expensive and there is steep rise in the subscription price of journals and databases, financial constraint because of static/shrinking budget available to higher educational institutions have forced the libraries to cut their subscription drastically.

ELECTRONIC SUBSCRIPTION OF JOURNALS

With globalization of education and competitive research, demand for journals has increased over the years. Due to insufficient funds libraries have been forced to cut subscriptions of journals which has titled them towards the internet to cover the gap between demand and supply by way of e-journals that can be subscribed online. Most of the journals are available in electronic form. These journals are available over UGC INFONET to all the universities, thereby quality information is made accessible to the academic scholar-base speedily across the country, at an affordable price.

Introduction

The hot arid regions of India are spread over 32 million ha (0.32 million Sq.Km.) in the state of Rajasthan (61%), Gujarat (20%), Andhra Pradesh (7%), Punjab (5%), Haryana (4%), Karanataka (3%), and Maharashtra(0.4%) which are characterized by hostile agro-climatic conditions and fragile eco-system. Out of total hot arid area of the country (India), more than 60% area falls under the state of Rajasthan which covers 12 districts viz., Jaisalmer, Barmer, Bikaner, Churu, Sikar, Jhunhjunu, Naguar, Jodhpur, Pali, Jalor, Sriganganagar, and Hanumangarh of the state. In general, the hot arid region of Rajasthan receives very low rainfall, varies from 100 mm annun^-1in north-western district of Jaisalmer to 450 mm per annum in the eastern boundaries of arid district of Rajasthan. The potential evapo-transpiration varies from 2063 mm in Jaisalmer to 1503 mm in Sikar districts of Rajasthan. The rainfall is very erratic and often experienced prolong drought. The ground water table is very deep and often brackish in nature. The extremes of temperature having severe winter during December-January with temperature as low as -4 °C and very hot summer during May-June with temperature as high as 48-50 °C is another important characteristic of the hot arid regions. The solar radiation is very high. Atmospheric vapour pressure deficit reaches as high as 30 mb during summer (May-June). The wind velocity in June is very high which leads to heavy wind erosion and formation of sand dunes. Some time strong sand storms of very high speed (60-0 km h^-1) with huge amount of sand particles also occurs. The soils are coarse textured with low silt, clay and humus content and water holding capacity is very low and infiltration rate is very high. The soil fertility is very poor having low organic carbon (0.02-0.06%).

1. Introduction

Country has vast network of 20 river basins with utilizable surface and groundwater resources of 1123 billion cubic meter (BCM). With the rising population, the per capita availability of water in India has declined from 5178 m³/year in 1951 to 1441 m³/year in 2015. About 60% of Indian population have per capita water availability close to or lower than the water scarcity threshold of 1000 m³/year. The per capita water availability will further decline to 1139 m³/year with increase in population. On the demand side, the gross water requirement for all users in India is expected to grow up to 1447 BCM in 2050 (CWC, 2010, GoI, 2015). With the massive financial investment by the governments and the farmers, net irrigated area in the country increased from 20.85 million hectare (Mha) in 1950-51 to 68.38 Mha in 2014-15 (DES, 2019). Although India is a world leader in irrigation infrastructure, still half of the total cropped area (51%) remains rainfed. Further, many studies have flagged sustainability and equity concerns in irrigation development in the country (Selvarajan and Roy, 2004;

Introduction

Among the various vegetable crops, tomato (Lycopersicurn esculentum) is one of the important and popular vegetable and plays an important role in balanced nutrition and hence it is called as `poorman’s orange’. Tomato fruits can be seen in the market round the year. In India, tomato occupies an area of 2,90,279 ha with the productivity of 15.85 t/ha and production of 46,03,446 tonnes (www.nhb.gov.in). Among the different districts of Tamil Nadu, Salem district has an area of about 6311 hectares under tomato with 17,359 tonnes of production. Pest management is one of the important dimensions in cultivating tomato crop that needs significant attention. The objective of pest management technologies are maximize pest control in terms of overall economical, social and environmental values. In order to restore ecological balance, it is necessary to integrate all the available pest management techniques in the most compatible manner with the least use of chemicals which is the principle of pest management. ‘Pest management technology’ utilizes all suitable techniques and methods in a compatible manner as possible and maintains the pest population below their economic injury levels given by Bikramjit et al. (2007).

8.1. Ecological Soundness

Conservation of natural resources essentially means maintenance and improvement of ecological status and not permitting them for further degradation. The natural resources are soil, water, forest, mountain and animal resources. An attempt was made to find out whether the respondents adopt certain recommendations for preservation of these natural resources irrespective of source of advice.

i. Soil Health

Soil is considered as an important ingredient of ecological soundness of an area. Adoption of soil health measures, like adding of organic manures, following of crop rotations, use of balanced chemical fertilizers, green manure and bio- fertilizers are some of the recommendations to maintain soil health. While examining the adoption of these measures, the following results were obtained.

1. Introduction

Agriculture is the backbone of the economy and a significant sector. For all nations, agriculture digitization is a growing area of concern. The need for food rises in tandem with the world's population growth, which is happening quite quickly. The agriculture sector is finding it very challenging to develop methods and strategies that will enable them to completely meet the growing wants and specifications due to the expanding need for food and shifting consumer preferences. Misuse of agricultural components can have detrimental effects on the environment and cause pollution. Farmers mostly rely on irrigation canal networks, groundwater, and rainfall in the field of irrigation. 

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.

Understanding the mechanisms controlling the adsorption of organic molecules on clay minerals is of significance in many branches of science and industry. The interaction between clay minerals and organic compounds elicits interest that emanates from the prospect that the adsorption of the organic matter fraction in the soil on the mineral particles would render physical stability to soil aggregates.

Organic compounds tend to interact with clay minerals by:

• adsorption process at the external surfaces
• adsorption process at the external and internal surfaces

6.1 INTRODUCTION

This chapter is concerned with the interactions which retain mobile chemical species in the soil environment. Emphasis is centred on the binding of small organic chemicals to soil particles of colloidal dimensions, and on the associations between polymeric materials and inorganic colloids which strongly influence the physical and chemical behaviour of soils. These interactions are also involved in the retention by soil of water, discussed by Farmer (1978) in the companion volume to this book, and in ion and ligand exchange reactions, and in mass flow and diffusion discussed in preceding chapters.

The term colloidal refers to particles and discontinuities of matter (e.g. pore spaces or thin films) of dimensions in the range of 1 nm to 1 jxm (IUPAC, 1972). For such finely divided systems the properties of the interfaces are very important because these largely control the behaviour of the colloidal systems. The term phase is used to describe the homogeneous parts of a system and an interface or surface is the boundary region between any two phases; the relevant interfaces are solid/gas, solid/liquid, liquid/liquid, and liquid/vapour. Where none of the solid, liquid, or vapour phases in a system are finely divided the ratios of the interfacial areas to the bulk volumes of the phases are small, and the effects of the interface between neighbouring phases can be neglected.

The most extensive surfaces in soils are contained in domains and micro- aggregates of colloidal particles (cf. Greenland and Hayes, 1978; Greenland and Mott, 1978), These surfaces are accessible from the pore spaces between solid particles. Under normal field conditions these spaces remain filled with water. Thus, although modern fertilizers, and chemicals for the control of plant growth, pests, and diseases are applied to soils as solids, liquids, and gases, most of the interactions with the soil colloidal constituents take place at the solid/liquid interface. We shall be primarily concerned here with uptake from the liquid phase by solid soil components, although interactions at the solid/gas interface can sometimes be important.

1. Introduction

Food is an essential requirement for survival. We work hard to earn money so that we can feed ourselves. However, at the end of the day, many of us are unsure about the quality of food we consume. The allure of money, along with a general disregard for humanity, has resulted in the addition of adulterants to food ranging from simple stones in rice to the more harmful chemicals in food of daily use. Surprisingly, food fraud is not a modern issue. There are several references to fraudulent food behaviour as early as the Romans, but it is usually considered to be the Victorian who places food fraud on the map.

Abstract

Adulteration refers to a process by which the quality or the nature of the given substance is reduced by the addition of foreign or an inferior substance, removal of vital component, packing and storage under harmful conditions, insect infestation, poisonous material, undesirable chemicals and unintentional contaminants. All these change in food whether intentional or unintentional are covered under food adulteration. In cereal grains adulteration results by incidental contamination during the period of growth, harvesting, processing, transport, and distribution and results in various health hazard, sand, marble chips, earth and filth are also adulterants in grains. Pest and pesticides residues are also hazardous.

Introduction

Fruits and vegetables are an important part of healthy human diet. Consumption of vegetables is widely promoted by Governmental health agencies since it provide consumers essential nutrients such as vitamins, minerals, dietary fiber and phytochemical compounds, at a relatively low calorie density. Furthermore, the consumption of vegetables has been strongly associated with reduced chronic and degenerative diseases such as cancer and heart related ailments. The United States Department of Agriculture recommends five to nine servings of fruits and vegetables daily (Berger et al 2010). In recent years, fresh-cut produce has become more popular due to their convenience, freshness, taste and assumed “Healthiness”.

In recent years dietary supplements have gained attractiveness within fitness and wellness circles. The other commonly used terms areNutraceuticals, dietary supplements or wellness-focussed foods. Being highly nutritious they are associated with a number of potential therapeutic effects. Nutrient-rich ingredients like fruits, vegetables, nuts, seeds, and grains are often considered dietary supplements as well. Oats fibre called, beta glucan, which has been shown to reduce inflammation, enhance immune function, and perk up heart health.

1. Conventional and Non-conventional Dietary Supplements

Nutrient-rich foods like fruits, vegetables, and legumes are often considered dietary supplements. Meanwhile, modified foods have been fortified with micro and macro nutrients to boost health benefits of foods.

Diagnostic imaging refers to technologies that doctors use to look inside the body of the patient for clues about any disease condition. A variety of machine and techniques can create pictures of the structures and activities inside the patient body. In India, some of these modalities like digital radiography and ultrasonography are being used at some of the veterinary colleges and reaseach institutes while at some places some of the veterinarians have access to the techniques like computed tomography (CT) and magnetic resoncace imaging (MRI) of the human hospitals. So this is the responsibility of the scientists and researchers engaged in the advancement of the diagnostic imaging and the manufacturing companies to make these facilities cot effective so that an animal of a common man can be benefited with these facilities.

14.1 Introduction

In this chapter, we have to present the review matters related to the theory of the “Classical Linear Regression Model (C.L.R.M.) and Testing of Significance of Statistical Hypothesis”. Here, I have to provide the references about the topics and the names of the books from where the readers can refer about the availability of the subject matters (preliminaries, procedures and interpretations) of numerical results obtained through the statistical analysis carried out for the empirical studies considered there in.

The whole genome sequencing helps the researcher to identify the desired gene and make it useful for the breeding program by transferring that particular gene into improved cultivar. Since, the whole genome sequence is not available for all crops and animals; there is a need of advanced techniques to overcome this problem. One such technique is TILLING (Targeting Induced Local Lesions IN Genomes) and its related technique called Eco-TILLING. TILLING is a reverse genetic approach used to identify the point mutation created by chemical mutagen in the mutagenized population. The chemical mutagen is most widely used and it will create allelic series of mutations which include nonsense, missense, or splice site mutation. The individuals with mutation were pooled by two-dimensional or three-dimensional pooling techniques. These mutations were identified by the formation of heteroduplex complex in the mutated region of the gene. Then, the heteroduplex is cleaved by S1 nuclease family enzyme and were examined in gel electrophoresis which distinguishes heteroduplex from homoduplexes. Now, the identified mutants in gel electrophoresis were subjected to sequencing for confirmation. Eco TILLING is similar to the TILLING except for the mutant population, as we use the natural mutant population in Eco-TILLING; whereas in TILLING we use the artificial mutant population and also pooling is done with reference sample in Eco-TILLING. The advantage of TILLING is that it is a cost-effective, rapid screening of mutant population and a nontransgenic approach as it does not require biosafety measures.

Abstract
Grain legumes face significant biotic stresses fromvarious pests and pathogens, leading to substantial yield losses worldwide. This chapter synthesizes recent advances in molecular approaches and biotechnological tools for developing resistant varieties and managing diseases in legumebased cropping systems. Novel genomic technologies, including CRISPRCas9 gene editing, marker-assisted selection (MAS), and next-generation sequencing (NGS), have revolutionized our understanding of host-pathogen interactions and accelerated the development of resistant cultivars. RNA interference (RNAi) technology has emerged as a promising tool for targeted pest control, while transcriptomics and proteomics approaches have helped identify key resistance genes and defense-related proteins. Integration of these molecular tools with traditional breeding programs has resulted in improved varieties with enhanced resistance to major pests like pod borers and diseases such as fusarium wilt and ascochyta blight. Additionally, biotechnological applications including biopesticides and disease-forecasting systems have strengthened integrated pest management strategies. This review highlights the potential of combining multiple molecular approaches for sustainable pest and disease management in legume cultivation while identifying future research directions and challenges in their widespread adoption.
Keywords: Biopesticides, Biotechnological tools, Marker-assisted selection, Legume

Introduction

Sugarcane is a vital commercial crop of our country that occupies around 5.11 million ha of land with an annual cane production of around 400.16 million tonnes and yield of 78.25 t/ha. Sugarcane occupies 2.67% of the cultivated land area and about 7.5% to the agricultural production in the country (DAC, 2020). This crop is a source of earning and livelihood for about 35 million farmers and approximately equal number of labourers. After textile industry, the sugar industry holds its place for the largest agro-based industry in country. Around 40-50% of the cane is utilised in 435 sugar industries present in India for the manufacture of about 15 million tonnes of sugar.

This crop is also a source of raw material for two important small scale industries, i.e., gur and khandsari. These industries utilises about 50-55% of the sugarcane produced for production of about 10 million tonnes of these products altogether. Besides, sugarcane crop is also the producer of molasses, chief by product, which is the main source for production of alcohol. In the year 2018-19, about 13.79 million tonnes of molasses is produced by our country. Apart from this, the left over fibrous material of sugarcane termed as sugarcane bagasse is also a source of production of electricity in the sugar mills. The left over extra bagasse is now-a-days utilised for even production of paper in paper industries. Also, co-generation of power by this product of sugarcane as fuel is considered to be best practical thing in most of the sugar mills. Using this as a raw material, about 3500 MW power may be generated each year without the use of any extra fuel and money being less than normally utilised in case of fuel production from thermal powers. Press mud is also one of the by-products obtained from sugarcane which is considered to be rich source of organic matter and micro and macro nutrients. Even the green tops of sugarcane are being used as cattle fodder. Besides, the cool sugarcane juice full of energy is in great demands in urban area to quench the thirst of people, especially in hot summer seasons (Anonymous, 2008). The trend of sugarcane production over the years is given

Introduction

Agriculture contributes a vital part within the financial stability of smallest emerging nations such as Pakistan as well. The economic system of Pakistan is fundamentally based upon agriculture (Govt. of Pakistan, 2004-2005). The total surface of Pakistan approximately 796,095 km2, of which 8.3 million km2 are uncultivated and 22 million km2 are farmed (Govt. of Pakistan 2015 2016). Despite an average yearly increase of 2.7%, agriculture contributes 21% of Pakistan’s GDP (Govt of Pakistan, 2004–2005). Farming is a sector whose fundamental and commercial models combine. Agriculture’s importance to the economy may be examined through three distinct perspectives: 1) as a source of nutritious food for the country and raw materials for internal industry; 2) as a way to generate currency from abroad and 3) as a source of products and services for local industries and the global market (Govt. of Pakistan, 2015-16).

9.1 Introduction
Building upon our foundational understanding of statistical methods in meteorology, Chapter 9, “Advanced Analytic Techniques,” propels us into the forefront of data science applications within the atmospheric sciences. The imperative for these advanced methodologies stems directly from the evolving nature of meteorological data itself. Modern observations, numerical weather prediction (NWP) model outputs, and climate simulations generate an unprecedented volume of information, often arriving with incredible velocity and exhibiting immense variety in format and structure. Traditional statistical approaches, while robust for many tasks, often struggle to efficiently process such vast, high-dimensional datasets, or to fully capture the intricate, often non-linear, relationships inherent in atmospheric processes.
This chapter is dedicated to exploring why and how these sophisticated techniques are not merely supplementary, but increasingly essential. We will delve into how machine learning and deep learning algorithms excel at identifying subtle, complex patterns within massive datasets, enabling breakthroughs in areas like severe weather detection, nowcasting, and the bias correction of model outputs. We will also examine advanced spatial statistics, which provide powerful frameworks for explicitly modeling the intricate geographical dependencies of meteorological variables, crucial for accurate interpolation, downscaling, and understanding regional climate impacts. Furthermore, the chapter will introduce functional data analysis, a method particularly adept at treating continuous meteorological fields (like temperature profiles or pressure maps) as functions, allowing for a more holistic analysis of their evolution and variability. By embracing these advanced analytical techniques, meteorologists and climate scientists can unlock deeper insights, enhance predictive skill, more rigorously quantify uncertainties, and ultimately contribute to a more resilient society in the face of a changing climate. Prepare to expand your analytical toolkit and discover new frontiers in meteorological understanding.

Advances in technology are revolutionizing the detection of metabolic diseases in animals, making diagnostics more precise, rapid, and non-invasive. From wearable sensors and metabolomics to AI and nanotechnology, these tools are enhancing animal health and productivity. As these technologies become more accessible, they promise to transform veterinary medicine and animal husbandry, ensuring early detection, effective management, and improved outcomes for animals.
Sensor-based technologies have emerged as a game-changer in the detection and management of metabolic diseases in dairy animals. These tools provide continuous monitoring, early detection, and real-time insights, enabling better health management and increased productivity. This chapter explores the most promising sensor-based technologies used for diagnosing metabolic diseases in dairy animals, their applications, and the future of sensor-driven animal health management.
Metabolic diseases like ketosis, milk fever (hypocalcemia), acidosis, and displaced abomasum significantly impact dairy productivity and animal welfare. Early detection is critical for reducing treatment costs, improvingrecovery rates, and minimizing production losses. Traditional diagnostic methods are accurate and often invasive, time-consuming, and not feasible for large-scale monitoring. Therefore, sensor-based technologies offer a solution by enabling continuous and non-invasive monitoring of physiological and biochemical parameters.

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

9.1 Magnetic seed separator

These machines use a magnetic force to separate damaged seeds or other particles from the good seeds. This is used to solve special problems in seed lots that can not be taken out with our other basic seed cleaning equipment. Most of the time it is used for vegetable and field seeds that have problems in seed damage (fish mouth in cucumber or melon seeds / cracked radish or cabbage seeds), insect damage (beetle holes in cotton seeds) or contamination with soil or plant parts (white plant parts in onion seed) etc.

6.1 INTRODUCTION

Besides simple analysis, GIS is useful to do advanced analysis like network analysis, spatial analysis, 3D analysis and modeling. Different softwares are available to perform such analysis and the above mentioned analysis is done in separate modules of the softwares.

6.2 NETWORK ANALYSIS

Network consists of well connected linear features. Roads, railway line, water distribution system, sewer line, streams are some of the examples of networks. These networks consists of nodes and arcs with designated directions and connection with other linear features. Networks are topology based with attributes for the flow of objects like traffic. Road network will be considered for explaining network analysis.

Road map is digitised with nodes and arcs. Signals, accidents are represented as points. Road is represented as line and two or more roads intersect at nodes. Attributes are added to the nodes and lines. Dynamic segmentation model is used for network analysis. It is built on lines of network. In road network analysis, attributes for travel time, one way street, two way street, right turn, impedance are added to the nodes and arcs. A link is the line running between two nodes. Link impedance is the cost of passing through the link. Travel time is different in links in cities due to varying traffic at different locations. Time taken to pass through a known length of link may give the cost but the travel time in a link is not uniform because of varying speed designated in the link as 20 km per hour and 30 km per hour. Hence it is important to consider the length of link and also the travel time. If the speed limit is 20 miles per hour for a length of 2 miles, then the travel time is 6 minutes (2/20x60 minutes). Also tuning in the network is considered. A road may have a maximum of 12 possible turns excluding U turns. There are right turn, left turn, straight way for each road. Also U turn is possible. This turning takes different time depending on the signal. Straight way takes less time but left and right turn may require some more time. If signals is available then signal time should also be taken into account. Fig 6.1 show the possible turns in a road.

Renal failure is one of the most commonly presented conditions in veterinary clinics world over. Although the potential for recovery is favorable, most animals die due to multisystemic effects induced by azotemia. Hence, extracorporeal removal of endogenous and exogenous toxins is very essential for expanding the window of recovery. Hemodialysis has been used in treatment of veterinary patients for the last 50 years and is still one of the most expensive and technically demanding treatment modalities in veterinary medicine. It is an advanced extracorporeal renal replacement therapy which has recently transitioned from a clinical curiosity to a more advanced standard for management of acute kidney injury (AKI) and chronic kidney disease (CKD) in companion animals particularly dogs and cats.

In addition to eliminating selective toxins that cause AKI, regardless of renal function, hemodialysis is also effective in the removal of pharmacokinetically active soluble uremic substances in CKD to enhance life expectancy and quality of life (Singh, 2021). Other common indications of hemodialysis in veterinary medicine include fluid overload, dysregulated body fluid composition, drug overdose or intoxications (Foster, 2020; Singh et al?, 2024). Medical management alone is often insufficient to control the clinical signs and metabolic abnormalities associated with uremia when AKI is severe or when there is involvement of acute on chronic kidney disease. Consequently, animals are at risk of death within a short therapeutic window, despite the potential reversibility of AKI and the improvement of life expectancy in CKD.

Aquaculture or farming and husbandry of aquatic organisms and plants is the future for increasing aquatic food production. It is the fastest growing food production sector with an annual average growth of >6% in the last two decades. It increased from <1 million tonne in 1950 to 70.2 million tonnes in 2013. An update of aquaculture production (FAO) revealed that the total world aquaculture production continued to grow in 2013, reaching 97.2 million tonnes (live weight) with an estimated value of US$157 billion. A total of 575 aquatic species and species groups are grown in freshwater, seawater and brackish water have been registered in the FAO Global Aquaculture Production Statistics Database. The production of farmed food fish (finfish, crustaceans, molluscs and other aquatic animals) was 70.2 million tonnes in 2013, up by 5.6 % from 66.5 million tonnes in 2012. The production of 27 million tonnes of farmed aquatic plants was a 13.4% jump on the 23.8 million tonnes of 2012. The contribution of aquaculture to the world total fish production reached 43.1%, up from 42.1% in 2012. It was only 30.6% a decade ago in 2003. Meanwhile, world production of aquatic plants, mostly seaweeds, is still overwhelmingly dominated by aquaculture (95.5% in 2013). On a global scale, the production of major non-fed species contributed 30.7% to world food fish aquaculture production in 2013, including 13.9 million tonnes of bivalves and 7.7 million tonnes of filter-feeding carps.

Mariculture involves the cultivation of marine organisms for food and other products in an enclosed section of the sea (cages/pens), or in tanks, recirculating systems, ponds or raceways in seawater..It is a promising sector by which the additional marine fish requirement can be met in the future years. It is also the fastest growing sub-sector of aquaculture. At global level, mariculture produces many high valued finfishes, crustaceans and molluscs viz. oysters, mussels, clams, cockles and scallops. In 2013 mariculture has contributed around 25.5 million tonnes of foodfish globally which formed about 36.3 %of the foodfish aquaculture production(World food fish aquaculture production was 70.2 million tonnes in 2013). Molluscs dominated the global mariculture production (59.7%) followed by finfish (22.7%), crustaceans (16.2%) and others (1.4%). In addition about 26.9 million tonnes of macro algae were also produced by mariculture. The total mariculture production including seaweeds was 52.4 million tonnes in 2013 which constituted 53.9% of the total aquaculture production (The total global aquaculture production including the aquatic plants was 97.2 million tonnes in 2013).

Advanced marketing of agricultural produce encompasses innovative strategies and technologies aimed at enhancing the efficiency, reach, and profitability of agricultural markets. This approach integrates modern tools such as digital platforms, precision marketing, and data analytics to better connect farmers with consumers and markets. It also emphasizes the importance of value addition, branding, and sustainable practices to meet evolving consumer preferences and market demands. By leveraging these advanced marketing techniques, agricultural producers can optimize their supply chains, reduce post-harvest losses, and achieve higher economic returns, ultimately contributing to a more resilient and sustainable agricultural sector.

In the Indian aquaculture sector, the rising frequency of disease outbreaks caused by bacterial, viral, fungal, and parasitic pathogens has necessitated the adoption of advanced molecular diagnostic techniques. Traditional methods, though useful, often lack the sensitivity required for detecting low pathogen loads or distinguishing between closely related strains. To address these limitations, molecular diagnostics have become integral to enhancing fish health management across diverse aquaculture environments—freshwater, brackishwater, and marine systems.
Among these tools, Polymerase Chain Reaction (PCR) is one of the most widely adopted techniques. PCR is both highly sensitive and specific, capable of detecting trace amounts of pathogen DNA or RNA from biological samples such as tissues, mucus, blood, and even environmental matrices like water and sediment. Organizations like ICAR-CIBA, ICAR-CIFA, and various state fisheries universities routinely employ PCR and quantitative real-time PCR (qPCR) to detect viral infections including White Spot Syndrome Virus (WSSV) in shrimp, Koi Herpesvirus (KHV) in ornamental fish, and Nodavirus in marine finfish like groupers and sea bass.

Abstract
Fish, a vital source of nutrition globally, faces challenges in maintaining microbiological safety and sensory quality due to its perishable nature. While effective in microbial reduction, traditional thermal processing methods often compromise fish’s nutritional and sensory attributes. In response, non-thermal technologies such as High Pressure Processing (HPP), Ultrasound (US), Ozone, and Pulsed Light (PL) have emerged as promising alternatives. These technologies offer effective microbial control while preserving the sensory and nutritional integrity of fish products. Ultrasound processing, has shown efficacy in microbial inactivation and quality enhancement without significant thermal impact. Studies on oily and white fish varieties demonstrate its capability to reduce microbial load while enhancing specific sensory attributes. In the same way, Ozone, which is known for its durable oxidative qualities, is useful in eliminating a wide range of bacteria on fish surfaces, although it must be taken into account when considering penetration depth and any sensory effects. Pulsed Light (PL) has shown quick microbial inactivation on fish surfaces and packaging materials by using high-intensity, short-duration pulses over a wide spectrum. High Pressure Processing (HPP) has become a reliable technique for increasing shelf life and guaranteeing microbiological safety in a variety of fish species. It works at moderate temperatures and high pressures. This chapter reviews the principles, applications, strengths, and limitations of these advanced non-thermal techniques in fish processing. It highlights their
potential to revolutionize the industry by meeting consumer demands for safe, high-quality fish products while overcoming the drawbacks associated with conventional thermal methods.
Keywords: Fish processing, Non-thermal techniques, Ultrasound, Ozone, Pulsed light, High pressure processing

Food packaging protects products from physical, chemical, biological and environmental influences while helping to maintain safety, freshness and quality. Advanced packaging systems perform functions beyond simple containment by regulating gases, moisture, temperature and microbial activity. The chapter examines modified-atmosphere, controlled-atmosphere and vacuum packaging, together with active and intelligent systems. Time-temperature indicators, freshness indicators and biosensors enable real-time monitoring of product condition. Edible and biodegradable materials provide more sustainable alternatives to conventional packaging, while nanotechnology can improve mechanical, barrier and antimicrobial performance. Shelf-life modelling and hurdle technology are also considered as tools for designing integrated packaging systems suited to specific foods and storage conditions.

ABSTRACT

Coastal resources represents highly productive ecosystems and are under pressure on account of increased anthropogenic activity on the coast. There is an urgent need to protect coastal resources aiming at sustainable development. Management of coastal resources requires spatial information on land and water resources, processes, water quality in a repetitive basis. Availability of high resolution and very high resolution data made the spatial tools indispensable in planning and management of resources such as mangroves and coral reefs. Monitoring mangrove degradation and aquaculture development, land use pattern, site selection for developmental activities adhering to coastal regulation zone notification requires highly accurate spatial information that can be extracted from IRS, IKONOS data. Extensive applications of remote sensing were hindered by cost, lack of familiarity and expertise in the developing countries. A national frame work must be established involving all available spatial datasets to build up the technical capabilities and ensure sustained support.

Advanced storage methods of agricultural crops play a pivotal role in mitigating post-harvest losses, ensuring food security, and enhancing the economic viability of farming. These methods encompass a range of innovative techniques and technologies designed to prolong the shelf life of crops, maintain quality, and reduce spoilage. From controlled atmosphere storage and modified atmosphere packaging to cold storage facilities and hermetic storage bags, advanced storage methods offer diverse solutions tailored to different crops and environments. This chapter explores the key principles and benefits of advanced storage methods, highlights notable technologies and approaches, and underscores their significance in addressing the challenges of post-harvest management in agriculture.

Introduction Plant disease detection is a crucial aspect of modern agriculture, as it allows early identification and management of diseases, minimizing crop losses and maximizing yields. In recent years, advancements in technology have led to the development of more sophisticated techniques for plant disease detection. Point-of-care (POC) diagnostic assay for plant disease detection is a rapid, advanced, and on-site testing method designed to identify the presence of pathogens or diseases in plants. This type of diagnostic tool is particularly valuable for farmers, agronomists, and researchers who need immediate results to make timely decisions about disease management and crop protection strategies.

As video editing continues to evolve, so do the techniques and software that enable editors to create polished, captivating visuals. Advanced editing techniques like precision cutting, mixing, and using sophisticated software tools allow editors to enhance storytelling, manipulate pace, and shape the emotional experience of their audience. This chapter dives into these advanced techniques, exploring how each tool and method contributes to a compelling final product.
1. The Art of Cutting: Techniques for Seamless Storytelling
Cutting is a fundamental editing skill that determines the pacing, continuity, and flow of a video. Advanced cutting techniques, such as L-cuts, J-cuts, and match cuts, serve as the foundation for creating dynamic narratives.
• Types of Cuts
• L-Cut and J-Cut: L-cuts and J-cuts are used to transition between audio and video in ways that flow more naturally and create smoother  continuity between scenes. These are essential techniques for dialogue-driven scenes or scenes that require seamless transitions between different locations or times.

Electrophoresis

The mobility of ions in an electric field is the basis for the separation method known as electrophoresis. Ions that are negatively charged move toward a positive electrode, while those that are positively charged move toward a negative electrode. Usually, one electrode is biased either positively or negatively, and the other is at the ground for safety reasons. Ions can be distinguished from one another based on their size, shape, and overall charge, which determine their migration rates.

Poly Acrylamide Gel Electrophoresis (PAGE)

Introduction

Electrophoresis is an electrochemical process in which substances with a net electric charge migrate under the influence of an electric current. This migration occurs in an agar gel or a liquid- filled buffered matrix such as cellulose acetate. Positively charged substances travel toward the cathode (negative electrode), while negatively charged substances go toward the anode (positive electrode). Different substances move at different rates depending on their charge. This movement is called electrophoretic mobility.

Proteins are charged molecules. They have a positive as well as a negative charge. Among proteins, particularly caseins, they have different contents. The charge density also varies depending on the molecular weight. Proteins have a net negative charge at a pH above 4.6, and hence they move towards the anode (positive electrode) when subjected to an electric field under alkaline conditions. Due to differences in the charge of individual protein fractions, their migration rates also differ and are hence separated into distinct bands. These bands are stained with the dye amido- black, destained with 7% acetic acid, and observed for the electrophoretic pattern.

The advent of advanced technologies and methodologies has revolutionized the field of crop disease forecasting, enabling researchers and practitioners to develop more accurate, reliable, and efficient forecasting systems. Conventional methods of disease forecasting, such as weather-based forecasting and statistical modeling, have been widely used for predicting crop disease outbreaks. However, these methods have several limitations, including reliance on historical weather data, limited spatial and temporal resolution, and lack of mechanistic understanding of disease development. In recent years, advanced methods of crop disease forecasting have emerged, leveraging cutting-edge technologies and methodologies to improve the accuracy, reliability, and efficiency of disease forecasting systems. These advanced methods include machine learning algorithms, artificial neural networks, geographic information systems (GIS), remote sensing technologies, and precision agriculture techniques. These methods have been shown to be highly effective in predicting crop disease outbreaks, and have the potential to revolutionize the field of crop disease management. Machine learning algorithms, for example, can be trained on large datasets of weather, crop, and disease data to identify complex patterns and relationships that may not be apparent through conventional statistical analysis. Artificial neural networks can be used to develop predictive models that can learn from experience and adapt to changing conditions. GIS and remote sensing technologies can be used to analyze and integrate spatial data on weather, crop, and disease patterns, enabling researchers and practitioners to identify areas of high disease risk and target interventions more effectively. Precision agriculture techniques, such as precision irrigation and fertilization, can be used to optimize crop growth and reduce disease susceptibility. These advanced methods of crop disease forecasting have the potential to transform the field of crop disease management, enabling researchers and practitioners to develop more effective and efficient disease management strategies. This chapter will provide an overview of these advanced methods, highlighting their potential applications and benefits in crop disease forecasting.
11.1 Remote Sensing Technology
Crop disease forecasting using remote sensing involves the use of satellite or aerial imagery to detect and predict crop disease outbreaks. The principles

Biofuel crops play a crucial role in the global transition towards renewable energy. With increasing concerns about climate change and energy security, biofuels have emerged as a viable alternative to fossil fuels. However, their economic viability is influenced by various factors, including production costs, market demand, government policies, and environmental implications. The United States has been the most prominent fuel ethanol producer since 2007, followed by Brazil. Together the United States and Brazil account for 84% of the global ethanol production. European Union, China and Canada are the other leading fuel ethanol producers. Fuel ethanol production and consumption continue to rise, regardless of variations in crude oil prices. The United States is the largest producer, generating 60 billion liters primarily from corn, while Brazil follows with 33 billion liters, mainly derived from sugarcane (https://www.statista.com.) Ethanol production in India started in 1938 with recommendations to convert molasses into alcohol, eventually resulting in the enactment of the Power Alcohol Act in 1948. The Ethanol Blending Programme (EBP), introduced in 2003, mandated a 5% ethanol blend (E5). However, due to supply shortages in 2004-2005, the blending requirement was made optional. In the 2013-14 period, a total of 38 crore liters of ethanol was procured for blending with petrol. This amount significantly increased to 567 crore liters in the Ethanol Supply Year (ESY) 2022-23, achieving an ethanol blend level of E11.7. Acknowledging the substantial progress in the ethanol fuel blending initiative for a greener transition and Atmanirbhar Bharat, the government revised the target to E20 by 2025–26 and set an E30 goal for 2030 (NAAS, 2024). The proposed share of E20 is from sugarcane-based ethanol 10%, maize 7% and other damaged food grains 3.0%. The recently reported data during Jan 2025 showed the achievement of 19.6% blending in petrol (PIB, GOI, 2025)

The income of farmers is declining day by day due to increasing cost of inputs including wages of farm labor. The net income can only be increased by reducing cost of inputs and by increasing yield of currently adopted cropping systems. The income of farm can be increased by growing horticultural crops (vegetables, flowers, fruits etc.) as well as medicinal, aromatic or spice crops. However, these crops cannot be grown on large scale due to their market problems and involvement of high labor. So, in order to improve profit from ongoing cropping systems, some latest crop production practices are being discussed in this chapter.

9.1 Introduction
In continuation to a comprehensive presentation of the fusion welding techniques in Chapters 5, 6, 7 and 8, this chapter presents advanced welding/ joining techniques, which are as listed below.
i. Cold metal transfer
ii. Wire arc additive manufacturing (WAAM)
iii. Thermal spraying
iv. Thermit welding
v. Ultrasonic welding
vi. Friction welding
vii. Diffusion bonding
viii. Soldering
ix. Brazing
x. Adhesive bonding
9.2 Cold Metal Transfer
A subset of gas metal arc welding is called Cold Metal Transfer (CMT). When it detects a short circuit, it reduces the weld current and retracts the weld wire, which causes a drop-by-drop deposit of weld material. The cold metal transfer was designed for thin materials and necessitates tight weld parameter control. Cold Metal Transfer combines a cutting-edge wire feed technology with high-speed digital management to create a regulated manner of material deposition with little heat input. In order to achieve enough energy to melt a tip of filler wire as well as the base material, the wire feed rate and cycle arcing phase are regulated. The cold metal transfer process has two primary features, viz. the occurrence of a short circuit in a stable and controlled manner, and the point of short circuit with low current correlating to a low heat input