eChapters

El Nino means ‘The Little One’ or ‘Christ Child’ in Spanish. It was originally recognized by fisherman of the coast of South America as the appearance of usually warm water in the Pacific Ocean, occurring near the beginning of the year i.e. around Christmas. That is why the name is used. El Nino, the periodic warming of Pacific Ocean waters that affects the weather worldwide. C. Fred and T. Andrus of the University of Georgia studied the ancient fish bones from refuse left about 6000 years ago by ancient peoples in Peru and found that ocean catfish lived in water that averaged 60 to 70 warmer than now and that there was little variation in temperature. He concluded that if El Nino was occurring at the modern rate, once every two to seven years, then the bones from the fish would have reflected the temperature variation.

11.1. Determination of Electrical Conductivity of Soil Solution

The conductivity or more precisely the specific conductance of a soil at a given soil-water ratio is the reciprocal of the specific resistance offered by the solution at 25ºC between the electrodes of 1 sq cm cross section kept 1 cm apart. Thus, the electrical conductivity of any solution depends on the amount of soluble salt present in it. Knowledge on the extent of salinity is important for management of saline soil including the choice of the crop suitable for that soil. Soluble salt content in saturation extract is more reliable index of salinity level than in soil: water ratio of 1: 2 or 1: 2.5 because it simulates the extent of salinity experienced by crop in field moisture condition.

Salinity class of soil is based on the electrical conductivity (EC) of saturation extract at 25ºC. However, EC of water extract from 1:2 soil-water suspension can be transformed into the EC of saturation extract following the formula (except for soil containing gypsum).

18.1 Determination of Electrical Conductivity of Soil Solution

The conductivity or more precisely the specific conductance of a soil at a given soil-water ratio is the reciprocal of the specific resistance offered by the solution at 25ºC between the electrodes of 1 sq cm cross section kept 1 cm apart. Thus, the electrical conductivity of any solution depends on the amount of soluble salt present in it. Knowledge on the extent of salinity is important for management of saline soil including the choice of the crop suitable for that soil. Soluble salt content in saturation extract is more reliable index of salinity level than in soil: water ratio of 1: 2 or 1: 2.5, because it simulates the extent of salinity experienced by crop in field moisture condition.

Salinity class of soil is based on the electrical conductivity (EC) of saturation extract at 25ºC. However, EC of water extract from 1:2 soil-water suspension can be transformed into the EC of saturation extract following the formula (except for soil containing gypsum).

Pure water is a poor conductor of electricity. Water may carry electricity fairly well when it contains electrolytes such as Acids, bases and salts. Electrolytes in the solution dissociates with cations and anions and pass on electrical conductivity. Hence, more electrolytes concentration in water, more its electrical conductance. The following ions are crucial for adding conductivity to water.
i) Cations: Mg 2+,Ca2+, Na+ and K+
ii) Anions: Cl-, S4
-, CO3
-, HCO3
-and NO3
-
In the International System of units (SI) the reciprocal of ohm is the Siemens (S) and conductivity is reported as millisiemens per meter (mS/m). 1 mS/m = 10 µS/cm = 10 µmhos/cm and 1 µS/cm = 1 µmhos/cm Principle
The quantity and kind of ions present in a solution affect conductivity, which is a numerical representation of a water sample’s capacity to conduct electricity. Since the majority of dissolved inorganic compounds in water are ionised, they add to conductance. The definition of conductance G is the reciprocal of resistance R.

Pure water is a poor conductor of electricity. Water may carry electricity fairly well when it contains electrolytes such as Acids, bases and salts. Electrolytes in the solution dissociates with cations and anions and pass on electrical conductivity. Hence, more electrolytes concentration in water, more its electrical conductance. The following ions are crucial for adding conductivity to water.
i) Cations: Mg 2+,Ca2+, Na+ and K+
ii) Anions: Cl-, S4
-, CO3
-, HCO3
-and NO3
-
In the International System of units (SI) the reciprocal of ohm is the Siemens (S) and conductivity is reported as millisiemens per meter (mS/m). 1 mS/m = 10 µS/cm = 10 µmhos/cm and 1 µS/cm = 1 µmhos/cm Principle
The quantity and kind of ions present in a solution affect conductivity, which is a numerical representation of a water sample’s capacity to conduct electricity. Since the majority of dissolved inorganic compounds in water are ionised, they add to conductance. The definition of conductance G is the reciprocal of resistance R.

Principle

Different ions migrate at different speed dictated by their size and by the amount of charges they carry. As a result, different ions can be separated from each other by electrophoresis. The magnitude of the electric force F exerted on the charged particle when subjected to electrophoresis is product of the charge q of the particle and the electric field E generated between the two electrodes.

Electrophoresis is an important separation technique for the charged molecules. Biologically important molecules, such as amino acids, peptides, proteins nucleotides, nucleic acids which carry electrical charge as they possess certain ionizable functional groups may be separated and identified from a mixture with the help of this technique. Some compounds that are non-polar in nature and do not possess any charge may be transformed to charge carrying derivatives. Thus, phosphate derivatives of carbohydrates may be separated and characterized utilizing electrophoretic techniques.

Introduction 
Building on our extensive exploration of how individual weather parameters intricately influence every facet of crop life and the diverse methodologies employed to evaluate these responses, we now embark on a journey into the mathematical heart of crop science. This chapter, Elementary Crop Growth Models,” will introduce you to the foundational concepts and simpler mathematical frameworks used to quantify, simulate, and ultimately predict how crops grow under varying environmental conditions. In the upcoming sections, we’ll delve into the fundamental building blocks of crop modeling. You’ll discover how these elementary models simplify the complex biological processes occurring within a plant to create manageable, yet insightful, representations. Unlike highly detailed mechanistic models, which require vast amounts of data and computational power, elementary models focus on capturing the most essential relationships between environmental drivers (like solar radiation, temperature, and water) and key aspects of crop growth, such as biomass accumulation or phenological progression. These simpler models serve as a crucial stepping stone. They allow us to grasp core principles of crop-weather interaction in a quantifiable way, providing practical tools for initial assessments, quick predictions, and conceptual understanding, without getting lost in the overwhelming complexity of every single physiological pathway. By understanding these foundational models, you’ll gain a clearer perspective on how agricultural scientists begin to predict the future performance of our food crops, even as the climate around them continues to evolve

The plant can absorb more than sixty elements as revealed from the plant tissue analysis, still a few elements is considered essential for the growth and nutrition of the plants. The deficiency of any one of the essential elements can stop completing the life cycle of the plants which is reflected on the yield of the crop. The growth of the plant which is expressed in terms of dry weight, length ,diameter etc. are interlinked with the plant available nutrients of soils.

3.1 Essential Nutrients

The essential elements are those elements which are required for growth and nutrition of the plants. There are 17 elements known to be essential nutrients for plants. The essential elements are classified as micro and macronutrients depending upon the requirement of the crop. Among the naturally occurring elements, eighteen elements are considered essential to plants. These are: C, H, O, N, P, K, Ca, Mg, S, Fe, Mn, Zn, Cu, B, Mo, Cl, Ni, Co. The elements which are found in different sources are required to be in available forms (Table 3.1) for growth and nutrition of the plants.

5.1 Introduction

In recent decades, human induced changes in climate of the earth have the focus of scientific and social attention. The most imminent of this is the increased concentration of greenhouse gases (GHGs) namely, carbon dioxide (CO₂), methane (CH₄) and nitrous oxide (N₂O) in the atmosphere. The concentration of CO₂, CH₄ and N₂O have increased markedly by 30%, 145% and 15%, respectively as a result of human activity since 1750, the era of Industrial Revolutions (IPCC, 2007). Between 1750 and 2005, the concentration of CO₂, CH₄ and N₂O in the atmosphere has increased from 280 to 379 ppm, 715 to 1774 ppb and from 270 to 319 ppb, respectively (IPCC, 2007). However, there was a steep increase during the recent years i.e. 70% increase of GHGs between 1970 and 2004.

8.1 Design of Canal Embankments

 There are two aspects of canal embankment design.

 (i) The general requirement, such as free board, dowel, service/inspection road, drainage of banks etc. The aspect of free board is discussed in Para

8.2 to 8.3 and that of service/ inspection road in Para

 8.4 and drainage of banks in Para 8.5 in this chapter.

 (ii) Safe design of embankment i.e. Hydraulic and structural requirement.

It includes stability of inner and outer slopes, Structural safe design of inner cut slopes in deep cuttings in different types of soils/rocks of varying nature and ground water conditions. Stability of slopes may include drainage, so as to prevent rock falls/debris in canal. For outer slopes in embankment (filling sections) hydraulic gradient/pharetic line, toe drains etc, similar to the earthen dams, on different types of soil/rock foundation with respect to varying ground water level conditions are important.

The canal embankments in filling may even fail through its foundations by sloughing or liquefactions. All these aspects of canal embankments are discussed in this chapter in Para 8.4 to 8.9.

Technology Scouting and Innovations in Technology Incubation
Technology scouting and innovations in technology incubation have a symbiotic relationship, fuelling each other for the benefit of budding startups and the broader technology ecosystem. Let’s dive deeper into their individual roles and how they interact:
Technology Scouting
Technology Scouting is the process of discovering, analyzing and evaluating new or existing technologies that will help them with their innovation process. In simple terms, it is a process for companies to find the necessary technology outside the company.
Hunting for promising technologies: Scouts actively search for emerging technologies, patents, research advancements, and market trends across various sectors.
Evaluating potential and fit: They assess the technical feasibility, market potential, and compatibility with the needs of incubators and their supported startups.
Connecting innovators and ventures: Scouts bridge the gap between technology creators (researchers, inventors, startups) and potential users (incubators, established companies).
Fuelling innovation pipelines: Technology scouting helps incubators access a wider range of technologies and ideas, enriching their portfolio and diversifying the innovations supported.

Introduction
In the paradigm of development, the Government of India generated a Central Sector Scheme for the people associated with agriculture – a sector contributing to 18.2 per cent of the nation’s GDP, titled “Formation and Promotion of 10,000 Farmer Produce Organizations (FPOs)” with major focus on upheaval of farming community. With well-defined strategy and committed resources the Scheme is set-out to formulate 10,000 new FPOs in the country with budgetary provision of Rs 6865 crore. At the core of formation of each FPO, that are to be developed in produce clusters, wherein agricultural and horticultural produces are grown / cultivated for leveraging economies of scale and improving market access for members. “One District-One Product” cluster to promote specialization and better processing, marketing, branding & export. Under this Central Sector Scheme with funding from Government of India, Formation & Promotion of FPOs are to be done through the Implementing Agencies (IAs). Presently 09 Implementing Agencies (IAs) have been finalized for formation and promotion of FPOs viz. Small Farmers Agri-Business Consortium (SFAC), National Cooperative Development Corporation (NCDC), National Bank for Agriculture and Rural Development (NABARD), National Agricultural Cooperative Marketing Federation of India (NAFED), North Eastern Regional Agricultural Marketing Corporation Limited (NERAMAC), Tamil Nadu-Small Farmers Agri-Business Consortium (TN-SFAC), Small Farmers Agri-Business Consortium Haryana (SFACH), Watershed Development Department (WDD)- Karnataka, and Foundation for Development of Rural Value Chains (FDRVC)- Ministry of Rural Development (MoRD). The Implementing Agencies (IAs) engage Cluster Based Business Organizations (CBBOs) to aggregate, register & provide professional handholding support to each FPO for a period of 5 years. CBBOs have been empanelled & engaged by IAs. CBBOs operate as an end-to-end knowledge for all issues related to FPO promotion. During 2020-21, a total of 2200 FPO produce clusters were allocated for formation of FPOs, which also include specialized FPO produce clusters such as 100 FPOs for Organic, 100 FPOs for Oil seeds, etc. Of these, 369 FPOs are targeted for 115 aspirational districts in the country. Additionally, NAFED would form the specialized FPOs which should necessarily be forwardly linked to the market, agri-value chain, etc. NAFED will provide market and value chain linkages to the FPOs formed by other Implementing Agencies. NAFED has formed & registered 05 Honey FPOs during current year in Uttar Pradesh, Madhya Pradesh, Rajasthan, Bihar and West Bengal. FPOs are earmarked to provide financial assistance upto Rs 18.00 lakh per FPO for a period of 03 years. In addition to this, provision has been made for matching equity grant upto Rs. 2,000 per farmer member of FPO with a limit of Rs. 15.00 lakh per FPO and a credit guarantee facility upto Rs. 2 crore of project loan per FPO from eligible lending institution to ensure institutional credit accessibility to FPOs.

1. Introduction
In recent decades, environmental contamination has emerged as a seriousthreat to our modern society. The relentless growth of urbanization andindustrialization leads to the ever-increasing production of hazardouschemicals. Safe disposal of these hazardous materials is crucial, as releasingthem into an already strained environment has severe consequences. Theexponential rise in human activity is directly related to the alarming risein local and global pollution levels, which severely disturbs the balance ofecosystems. Industrial activities, in particular, are a major source of highlyhazardous chemicals such as dyes, pigments, and aromatic compounds,which pose a serious threat to the environment. In India, the textile industry, amajor force driving the country’s economic growth, also ranks asthsecondlargestpolluter. The printing, finishing, and dyeing processes used in textileproduction generate significant waste (Dubey et al., 2018). Dyes, a majorsource of pollution in this industry, are syntheticand complex in structure. Thiscomplexity makes them poorly soluble in water, hindering biodegradation andposing a long-term environmental concern. The global textile industry utilizesa wide range of dyes, with estimates indicating over 100,000 commerciallyavailable options. The worldwide production of these dyes is estimated to be700,000 tons per year (Al-Tohamy et al., 2020). However, dye contaminationis a major challenge in this industry. Studies indicate that during synthesisand dyeing processes, a significant portion, ranging from 10% to 15% of thetotal dyestuffs used ends up released into global water bodies (Leal et al.,2020). A significant portion of textile dyes, ranging from 2% to 20%, aredirectly released into water reservoirs through wastewater effluents. This is

Abstract
Emerging technologies are reshaping agriculture and revolutionizing food production systems. This chapter explores the latest technological advancements in agriculture, including precision farming, artificial
intelligence, biotechnology, robotics, and digital platforms. It examines how these technologies are being implemented to address the challenges of modern agriculture, such as increasing productivity, enhancing sustainability, and ensuring food security. The chapter also discusses the future directions of food production, considering the impact of technological innovations on global food systems, resource management, and environmental sustainability. By analyzing current trends, opportunities, and potential challenges, the chapter provides a comprehensive overview of how emerging technologies are poised to transform agriculture and the future of food production.
Keywords: Emerging technologies, agriculture, food production, precision farming, artificial intelligence, biotechnology, robotics, digital platforms, sustainability, food security.

This chapter focuses on presenting empirical findings from data analysis to provide sufficient interpretation so to draw reliable conclusions. To enhance and complement the textual contents of the study, tables and models are frequently utilized. Additionally, the discussion serves to contextualize the study’s findings and establish connections with the research work.

Result: The Table 13 depicts the distributive characteristics of the variables for the 90 respondents under the study.

Revelation: The pattern of distribution of the variable, Age (x1 ) depicts that the maximum age of the respondents is 70 and the minimum is 26. The mean value of age of the respondents is 42.98 with standard deviation of 10.77. The distribution of the variable is strongly consistent with a CV value of 25.06 per cent.

The pattern of distribution of the variable, Education (x2 ) depicts that the maximum education of the respondents is 5 and the minimum is 2. The mean value of education of the respondents is 4.09 with standard deviation of 0.82. The Coefficient of Variation is 19.96 per cent which indicates the distribution of variable is highly consistent.

Training plays a vital role in enhancing the capabilities of individuals to perform their roles effectively. In the context of leadership development, training aims to equip potential leaders with the necessary skills, knowledge, and attitudes to excel in their roles. This paper examines the objectives of leadership training and the methods by which these objectives can be achieved.

Meaning of Training

The term ‘training’ refers to a structured process designed to improve an individual’s ability to fulfill their responsibilities. It involves imparting knowledge, developing skills, and shaping attitudes to enhance professional competence. For potential leaders identified through various selection methods, training serves as a means to cultivate essential leadership traits that may be lacking initially.

Introduction Agricultural sector is the pillar of the Indian economy. It provides employment to around half of the workforce of the country and contributes around 18 per cent to the gross value added of the country. Small and marginal landholdings, constituting less than 2 hectares, make up a significant 85 percent of India’s farming community (Joshi, 2022). These small farmers encounter various challenges, including farm-specific and household transaction costs that limit their participation in input and product markets. With changing food preferences driven by income and population growth, there’s a growing need for small-farm commercialization to meet the rising demand for diversified, higher-quality diets (Chakraborty, 2020). To address the constraints faced by small farms, aggregation models have emerged as institutional interventions.

Introduction Terms total development of rural areas with the purpose of increasing the quality of life for rural people is referred to as rural development. It is a broad anddiverse concept that encourages the expansion of agricultural and allied activities, communities, cottage industries and crafts, community services and facilities, and total human resources in rural areas. As a strategy, rural development is the result of interactions between many physical, technological, economic, and societal elements. Its purpose is to improve the economic and social well-being of a particular rural demographic group. Rural development is a multifaceted concept that covers various aspects of development in order to improve rural people’s quality of life (Ilbery, 2008). Agriculture, village industries, crafts, community services, and rural human resource development all fall under this category.