eChapters

Introduction

Food ingredients sector is indicating ample prospects for growth. The segment is an obligatory element for the growth of the food and beverage sector. These ingredients are also driving the development of the healthy functional foods industry to increase by 20% growth annually. Innovation in the food and beverage market, especially in the processed food domain, has created innumerable opportunities for new product development in the ingredients market as well. The segment is driven by the growing food processing industry and India is emerging as ingredients bowl of the future. Additionally, growing urbanization coupled with industrialization and changing lifestyles have led to growing demand for convenient food that offers health benefits, over and above the basic nutritional benefits of the foodstuff. There are nearly 10 to 15 broad classes of ingredients that include the very basic ingredients as well as certain value added ingredients that have niche applications. Key ingredients are preservatives, flavours, colours, hydrocolloids/stabilizers, emulsifiers, artificial sweeteners and value added health food ingredients such as omega-3-fatty acids prebiotics, probiotics etc. Until recently, there has been limited research into functional foods in meats, while functional foods in the dairy sector have been developed to a high degree. But meat is less allergenic than many other foods and much more research into the development and marketing of novel functional meat products is required. Such meat products would open up a new market for the meat industry. Nutraceutical and functional food industry is a very vibrant industry today with the claims and a clear mandate of health, wellness and prevention of diseases as one of its main goals.

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.

Sambit Sharma, Chairman, CTN Limited (CTNL) received a letter from the Chairperson of 3^rd Pay Revision Committee (PRC) for Public Sector Undertaking (PSU) of India. The letter inter alia sought feedback on existing Performance Management System (PMS) at CTNL and suggestion for its continuity or modification, if any. In past also, CTNL's suggestions on various human resources (HR) matters had been valued by the Committee and many of those suggestions were retained in their final recommendations to the Government of India. Mr. Sharma, off late, had heard many stories, both positive as well as negative, about the PMS within CTNL and was therefore contemplating to thoroughly review the system. He marked the letter to Ratish Agarwal, Director (HR), CTNL to take necessary action.

Molecular biology involves the study of DNA, RNA and proteins in cells. It emphasizes the biomolecules that carry out biological processes. One should understand the biomolecules participating in the process to understand the cellular function. In diagnostic microbiology, biomolecules are the analytes for testing and characterization. The analytes for molecular testing are the genomes (DNA), transcriptomes (RNA) and proteomes (Proteins) of the microorganism. Traditional methods of microorganism characterization depend on the culturing of the organisms, which is time-consuming and sometimes challenging to perform. Molecular techniques involve the characterization of DNA, RNA and protein to identify microorganisms. Nucleic acid sequence details are used to classify bacterial species, and mass spectrometry is used to identify microorganisms based on peptide profiles.

DNA (Deoxy ribonucleic acid)
DNA contains the genetic information required for the development and functioning of the living organism. It is the central informational molecule comprising a sequence of A, T, G and C nucelotides linked together by a phosphodiester bond. DNA is double helical in structure, composed of two complementary strands of nucleotides held together by hydrogen bonds between nitrogenous bases.

The scientific community has long relied on the expertise of trained researchers and professionals to advance our understanding of the world. However, with the increasing complexity of global challenges, such as climate change, biodiversity loss, environmental degradation, and public health concerns, it has become clear that a new approach is needed. The traditional model of scientific research, where experts work in isolation to collect and analyze data, is no longer sufficient to address the scale and urgency of these challenges. Citizen Science, which involves the active participation of the public in scientific research, has emerged as a powerful tool for addressing these challenges. By leveraging the collective efforts of citizens, researchers can tap into a vast pool of knowledge, skills, and perspectives, ultimately leading to more inclusive, equitable, and effective scientific inquiry. From monitoring water quality and tracking climate patterns to identifying species and analyzing satellite imagery, citizens are making meaningful contributions to scientific research (Fig. 3.1).
The benefits of Citizen Science are numerous. It provides opportunities for citizens to engage with scientific research, promoting a deeper understanding of the scientific process and its applications. It also enables researchers to collect data on a larger scale and in more diverse locations, leading to more comprehensive and accurate findings. Furthermore, Citizen Science has the potential to increase public trust in science, promote community engagement, and foster a sense of ownership and responsibility among citizens for environmental and societal issues.

General Introduction 
Growing populations and industrialisation around the world are driving up energy demand, which increases reliance on fossil fuels. The World Energy Forum projects that global stocks of fossil fuels like coal, natural gas, and oil will run out in less than ten years and decades [1]. Fossil fuels account for 88.1% of total energy consumption; they include coal (43%), oil and other liquids (23%), waste (6%), natural gas (6%), and biomass (24%). Hydroelectricity, and nuclear energy, on the other hand, share relatively small percentages of energy (1% and 2%, respectively) [2]. Petro-diesel, also known as petroleum diesel, is currently utilized as a fossil fuel and is created when crude oil is fractionally distilled at temperatures between 250°C and 350°C under atmospheric pressure. Once heated to a certain degree, the different types of diesel fuel are formed via the vaporization of hydrocarbon chains and the isolation and blending of constituents in a prescribed ratio. Typically, 25% of the petrodiesel’s composition consists of aromatic hydrocarbons and 75% of saturated hydrocarbons. The combustion of diesel fuel releases sulfur, nitrogen, and particulate matter into the environment, which are all present in significant concentrations in petro-diesel. Moreover, burning fossil fuels has resulted in several environmental problems, such as greenhouse gas emissions (GHG), which have a major impact on global warming, climate change, and a host of other chronic illnesses [3]. India is ranked as the fourth-biggest importer and user of petroleum products and crude oil. With demand for oil reaching about 4.1 million gallons per day in 2015, there is a growing disparity between India’s oil supplies and supply. The IEA analysis predicts that beyond 2050, there won’t be any oil reserves and that India’s oil consumption will increase by 6.0 million barrels per day to 9.8 mg/d in 2040 [4]. Two-thirds of the growth in oil demand and 16% of the increase in

Abstract

The development index and the developmental planning of a Country/Nation mostly depend on its natural resources potential including water resources. The fast emerging Remote Sensing and GIS technology has substantially reduced the problems of water resources management including groundwater. The groundwater is distinctly controlled by western crystallines, central Tertiary sandstone and eastern Quaternary sediments in Pudukkottai district. While the groundwater behavior in crystallines is dominantly controlled by secondary porosity, in Tertiary formations and Quaternary sediments, it is controlled primarily by the primary porosity and by secondary porosities also if these are structurally deformed.

Swine influenza (Swineflu) is a highly contagious viral disease of pigs. It is an upper respiratory tract disease of pigs that causes outbreaks in herds. Swineflu infects people every year and is found typically in people who have been in contact with pigs although there have been person to person transmission of the disease. Influenza A virus subtypes namely H1N1, H1N2 and H3N2 are circulating around the world. In US, H1N1 subtype was exclusively prevalent among swine population before 1998 however since late August 1998, H3N2 subtype has been isolated from pigs. Most of the H3N2 virus isolates are triple assortants containing genes from human (HA, NA and PB1), swine (NS, NP and M) and avian (PB2 and PA) lineages. Influenza viruses are generally species specific i.e. avian influenza virus will infect only birds, swine influenza virus pigs, human influenza virus humans and so on. Although interspecies transmission of influenza viruses are reported, the transmission of influenza virus from one species to another is not always possible. Again, influenza A virus isolated from pigs can acquire the pandemic potential but not isolated from other species. Further, recent outbreaks of swineflu affecting human beings in Mexico, USA, UK,Canada, Asia etc with a death toll of 49 persons resulted in high alert in all the countries and compulsory checking of all the persons coming from the affected countries to other counties. The causative agent of swineflu is H1N1. So, it is the prime time to create awareness about the disease among the public which in turn help in tackling the disease in an effective and efficient manner and to prevent its transmission to human beings from swine species.

Etiology: Swineflu is caused by a virus under the genus Influenza A virus and family Orthomyxoviridae. Influenza A viruses are spherical with a diameter of 80-120 nm and may be filamentous. There are two types of surface glycoproteins namely haemagglutinin (HA) and neuraminidase (NA) present on the virus particles. A total of 17HA and 10NA types have been reported in influenza A viruses. It contains 8 copies single stranded negative sense RNA molecules as genome which encode 12 proteins: 3 subunits of the viral RNA polymerase complex, PB1 (encoding 3 proteins PB1, PB1-F2 and N-40), PB2 and PA; a nucleoprotein (NP), two surface glycoproteins, HA and NA, a matrix protein (M1), an ion channel protein (M2), a nonstructural protein (NS1) and a nuclear export protein (NEP- also known as NS2). There are 170 combinations of two surface glycoproteins, 17 HA and 10 NA that determine the antigenic properties and subtype classification of virus. However, human disease historically has been caused by 3 subtypes of HA (H1, H2 and H3) and two types of N (N1 and N2). Further in 1997, the outbreak of avianflu/birdflu in Hong Kong affected 18 persons with a death of 6 persons. The avian influenza virus responsible for that outbreak was H5N1. From that time H5, H7 and H9 ( all from avian origin) have been implicated in causing disease in human beings.

13.1 Introduction

Distributed optical fiber sensors are those sensors which monitor a single measurand at a large number of locations or continuously over the path of the optical fiber. The measurand can be a physical or a chemical quantity. The distributed optical fiber sensor generally consists of a common light source, optical fiber to carry light to the sensing probes and a return fiber to carry modulated light to a photodetector. These sensors can utilize any kind of light modulations described earlier. The advantages associated with distributed sensing are reduced number of components and hence the cost, reduced weight and cabling, and electrical passivity. The applications include the measurements of temperature, pressure, strain, current and chemical concentration. If the measurand is monitored continuously along the fiber length then the sensor is called intrinsic distributed sensor. If it is measured at a finite number of locations then the sensor is called quasi-distributed sensor. The quasi-distributed sensor has a number of advantages over intrinsic distributed sensor. In quasi-distributed sensor, spatial resolution is not as important as in intrinsic distributed sensor provided that individual sensors can be clearly resolved. Further, in quasi-distributed sensing, the sensor elements can be tailored in terms of responsivity and range to meet the specific needs of the application. In this chapter we shall describe various kinds of distributed sensing approaches and few optical fiber distributed sensors.

Introduction

Poultry farming is an emerging activity for enhancing nutrition and providing livelihood support to the farmers of this country. Since two decades, this component emerge as the fastest growing segment of agriculture where the broiler segment having a growth rate of more than 10% and the egg production 5-6% per year. As per the report by USDA’s Agricultural Marketing Service, India has one of the world’s largest and fastest growing poultry, ranked third in egg production (FAOSTAT) and sixth in broiler meat production. Poultry farming is lucrative because there is minimum investment to start, rapid return, high feed conversion ratio and provides continuous source of income for the farm.

3.1 Training

Virtual orchards are sophisticated, simulated environments used to train agricultural robots in a controlled, risk-free setting. These virtual landscapes replicate real-world orchards with high fidelity, incorporating detailed models of trees, fruits, branches, and various terrain features. By leveraging advanced technologies like 3D modelling, physics-based simulation, and machine learning, virtual orchards provide a comprehensive platform for developing and testing robotic algorithms without the logistical challenges and costs associated with field trials. In these simulations, agricultural robots can perform various tasks, such as navigating through rows of trees, detecting and localising fruits, and executing precise pruning actions (Shamshiri et al., 2018). The virtual environment allows for testing different path planning and control algorithms, enabling researchers to fine-tune these systems for optimal performance.

Additionally, virtual orchards can simulate various environmental conditions, such as changing light levels, weather patterns, and the presence of obstacles, providing a robust testing ground for robots to adapt to dynamic scenarios. One significant advantage of virtual orchards is the ability to generate large amounts of training data for machine-learning models. Robots can be exposed to many pruning scenarios, enhancing their ability to generalize and perform effectively in real-world conditions. Furthermore, the use of virtual reality (VR) and augmented reality (AR) can aid in training human operators to control and supervise these robots, improving their proficiency and reducing the learning curve (Sarker, 2021).

It is emphasizing the systematic approach required for the successful planning and funding of projects:
Components of Project Formulation
1. Needs Analysis: Identifying and defining the needs that the project intends to address, typically involving stakeholder consultation and market analysis. This process involves systematically gathering and analyzing data about a community, a group, or a market to identify both the current conditions and the gaps between these conditions and desired outcomes. Effective needs assessment aids in designing projects that are relevant, targeted, and likely to produce significant impact. Here’s a more detailed exploration of how needs assessment is integral to project formulation:
Key Steps in Conducting a Needs Assessment
• Stakeholder Identification: Early in the project formulation, identify all relevant stakeholders, including direct beneficiaries, community leaders, funders, and other affected parties. Understanding who will be impacted by the project helps in targeting the needs assessment process more effectively.
• Data Collection: Utilize various methods such as surveys, interviews, focus groups, and field observations to gather comprehensive data about the current state and deficiencies experienced by stakeholders. This might involve looking at socioeconomic data, environmental conditions, or specific community challenges.
• Gap Analysis: Analyze the data to identify gaps between the current state and the desired outcomes. This analysis helps pinpoint the specific areas where interventions are needed.formulation: 

Theileriosis is a tick-borne protozoan disease that affects a wide range of domestic and wild animals, particularly cattle. While multiple species of Theileria exist, Theileria parva and Theileria annulata are the most important pathogens in terms of their impact on domestic cattle. This disease is transmitted by ixodid ticks and has a significant impact on cattle populations in tropical and subtropical regions. Theileriosis poses a substantial threat to livestock productivity, affecting economic stability in many countries, especially those that rely heavily on agriculture and cattle farming.
The disease has two primary forms: East Coast fever (ECF), caused by T. parva, which predominantly affects cattle in eastern, central, and southern Africa; and tropical theileriosis, caused by T. annulata, which affects cattle across northern Africa, the Middle East, and parts of Asia. Both diseases are highly pathogenic and, if left untreated, can lead to high morbidity and mortality rates, significantly impacting livestock production.

India is one of the chief carpet wool producing and exporting countries of the world. A large quantity of carpet wool is exported to the developed countries. Wool production in Indian subcontinent is mainly dependant on distinct type of sheep producing wool in a particular geographical area. For example small and course wool is produced by Bikaneri breed in North Western India, course wool by Deccani breed and hair type breed by Mandya breed in Peninsular India and fine wool is produced in Himalayan region. In general, tropical breeds of sheep are mainly producing course wool which is highly suitable for carpet manufacture. Most of the Indian sheep breeds are producing low fleece yield. The annual total yield of greasy wool is in the range of 1-1.5 Kg. Overall great quantity of wool is produced in southern hemisphere but consumption is in northern hemisphere.

ABSTRACT

Topsoil erosion, loss of fertile soil and subsequent deposition in the reservoir as well as in the low-lying region are one of the major problems in the tropical mountainous region. Knowledge of sediment yield from the river basin is a prerequisite to address such issues. Rivers from the Western Ghat region of Uttara Kannada district bring lot of sediments causing siltation in their mouth. In the present study, sediment yield from a Venkatapur river basin in Bhatkal Taluk of Uttara Kannada district is estimated by Universal Soil Loss equation (USLE). Morphometric characteristics of the river basins that reflect sediment yield potential of the river basin are used to constrain the data obtained. Various parameters for USLE is derived from the IRS 1D LISS III image and data are handled in GIS environment. Sediment yields in the basin 101 tons/yr. Morphometric characters of the basin such as drainage density, bifurcation ratio, basin circularity (0.6) and form factor (0.43) suggest its low potential of sediment yield.

Animal Husbandry is a major activity in hilly areas and women contributed the most in maintaining this enterprise. It is of immense importance to conduct study for alleviating drudgery of farm women in hilly areas. Since women’s contribution in animal husbandry is significant to our economy, their technological empowerment is equally important and needs to be given high priority.

This chapter covers a study of a project conducted in Udaipur district of Rajasthan. The concerted efforts made under this project through skill training, field demonstration, constant technical support and motivation resulted in acquisition of knowledge and skills in handling various drudgery reducing technologies in animal husbandry. Technological intervention has made farm women aware of new technologies available to assist them in performing the tasks. As a result there is a change in the practices of women and they have begun to adopt new technologies to improve their work efficiency in animal husbandry. By the use of technologies, there is considerable reduction in the drudgery of farmwomen. Equipment like rake, shovel, and wheel barrow and chaff cutter has not only decreased time and energy consumption but have improved work efficiency in terms of output.

Introduction

Livestock development has always been a major concern in the Indian economy along with agriculture. Animal husbandry and Dairy development play a prominent role in the rural economy in supplementing the income of rural household particularly, the landless, small and marginal farmers. It also provides subsidiary occupation in semi-urban areas and more so for people living in hilly, tribal and drought prone areas where crop output may not sustain the family. Animal husbandry output constitutes about 30 percent of the country’s agricultural output. In recent years, animal husbandry has become more indispensable for human kind because of increasing pressure on cultivable land owing to the population explosion.

Nanotechnology has emerged as a revolutionary force in the food industry, providing innovative solutions to improve food quality, safety, and usefulness. Researchers have devised novel ways to numerous issues in food production and preservation by harnessing nanoparticles' unique traits, such as their high surface area-to-volume ratio and customizable physicochemical characteristics. Nanotechnology-enabled food additives provide a wide range of benefits, including improved texture, taste, color, and nutritional value, as well as increased shelf life and microbiological safety. Furthermore, nanoparticles are effective transporters for bioactive chemicals, allowing for targeted and regulated release within the food matrix.

4.1 Introduction

Pests and plant diseases pose serious risks to global agriculture (Strange and Scott, 2005; Oerke, 2006). Plant diseases and pests are the natural disasters that can impede a plant’s normal growth throughout the plant’s whole life cycle, from seed formation to seedling growth and may result in plant death (Liu and Wang, 2021). Diseases reduce yields in a number of important crops by 21–30% globally (Savary et al., 2019), whereas insect infestations reduce crop output by 30–33% annually (Kumar et al., 2019). For the management, accurate disease diagnosis and pest identification are essential. Artificial intelligence (AI) techniques can be a crucial addition to enable the monitoring of plant diseases and pests at a coarse scale, as traditional field scouting of these pests and diseases is labor-intensive, subject to bias, and typically shows low efficiency (Mahlein, 2016).

Agriculture is undergoing a revolution because of artificial intelligence (AI), which is replacing outdated techniques with more effective ones (Talaviya et al., 2020). AI intervention in agriculture is helping farmers increase productivity and reduce adverse environmental effects (Sujawat, 2021). The application of AI techniques has created new opportunities for scientific research as well as new instruments and ways for handling and analyzing vast volumes of data. An important benefit of AI is its capacity to spot patterns in data that are not immediately obvious or available to humans. This allows for previously unattainable new insights and discoveries (Angermueller et al., 2016; Eraslan et al., 2019). AI is currently changing how we work and live, yet its influence on pathology and entomology research is still underappreciated. AI’s cost-effectiveness, precision, quickness of performance, and adaptability are its core concepts in agriculture (Eli-Chukwu, 2019). In agriculture, artificial intelligence not only helps farmers use their abilities, but it also guides them to obtain better quality and larger yields with fewer resources (Khandelwal and Chavhan, 2019). AI-based technology addresses the issues that agricultural sector faces and helps to increase efficiency in all areas. These challenges include crop harvesting, irrigation, soil content sensitivity, crop monitoring, weeding, harvesting, and establishing.

Marketing functions

The process of marketing involve a number of marketing functions. They may be grouped under:

Functions of exchange which include

1) Buying and assembling and

2) Selling.

B. Functions of physical supply which include

1) Transportation and

2) Storage or warehousing.

Farmers’ data collection can be a valuable input for the development of agrometeorological advisories because it provides a unique perspective on the local weather and climate conditions that affect their crops and farming practices. Farmers have a deep understanding of the local environment and are often able to observe subtle changes in weather patterns and soil conditions that may not be captured by traditional meteorological instruments. By collecting data on weather patterns, soil moisture, crop growth, and other factors, farmers can provide valuable insights into the complex relationships between weather, climate, and agriculture. This data can be used to improve the accuracy and relevance of agrometeorological advisories, which are critical for helping farmers make informed decisions about planting, irrigation, pest management, and other aspects of crop management. By incorporating farmers’ data into the development of these advisories, researchers and policymakers can create more effective and targeted recommendations that take into account the specific needs and conditions of local farming communities. Furthermore, the collection of farmers’ data can also help to identify gaps in existing meteorological data and provide insights into the impacts of climate change on local agriculture. This information can be used to inform the development of more effective climate adaptation strategies and to support the creation of more resilient and sustainable agricultural systems.
In addition, the involvement of farmers in data collection can also help to build trust and promote the adoption of agrometeorological advisories. By working closely with farmers and incorporating their knowledge and expertise into the development of these advisories, researchers and policymakers can create more effective and sustainable solutions that meet the needs of local farming communities. Overall, the collection of farmers’ data can provide a valuable input for the development of agrometeorological advisories, helping to create more effective, targeted, and sustainable solutions that support the needs of local farming.
5.1 Low Cost Instrumentation
The use of low-cost instrumentation in agriculture is essential for enabling farmers to collect accurate and reliable data on various parameters that affect crop growth, soil health, and farm management. In many developing countries, smallholder farmers lack access to expensive and sophisticated equipment, making it difficult for them to make informed decisions about their farming practices