eChapters

Introduction

Modern intensive livestock and poultry production has achieved phenomenal gains in the efficient and economical production of high quality and safe animal products and by-products. Furthermore, the overall performance of livestock can be increased by improving nutrients utilization, health status, fertility and efficiency of production. The use of feed additives has been an important part of achieving efficient livestock production. Feed additives are non-nutritive substances, preparations and micro-organisms that are added to animal feed to improve productive, reproductive and health performances. Any substance is considered as a feed additive when, not having a direct utilization as nutrient, is included at an optimum concentration in diet to exert a positive action over the animal health status or the dietary nutrient utilization. Hutjens (1991) defined feed additives as a group of substances that can cause a desired animal response in a non-nutrient role, such as pH shift, growth, or metabolic modifier. Feed additives are added deliberately to animal feed which may favourably influences characteristics of the animal feed, feed intake, gastro-intestinal flora, digestibility of the animal feeds, animal production, health, fertility and characteristics of animal products. Because of their chemical nature as active principles, additives are generally included in very small proportions in diet.

Introduction

Rainfall is a crucial component of the Earth’s climatic system that affects various aspects of human life. It has a direct impact on the ecosystems, water resources, agricultural production, and overall water management. Dependence on rainfall is particularly high in regions where it is the primary source of water, making it essential to have an accurate understanding of future rainfall patterns. Given its importance, rainfall forecasting is a critical concern for a wide range of stakeholders, including governments, businesses, risk management organizations, and the scientific community. However, predicting rainfall is a complex task as it is a random occurrence influenced by numerous factors (Samantaray et al., 2020). Even in similar weather conditions, the possibility of rainfall may vary. This makes historical data and predictive analytics crucial in forecasting future rainfall and taking necessary actions to manage its effects (Avinash et al., 2022). The impact of rainfall extends beyond water management to affect various human activities, including power generation, construction, tourism, and forestry, among others. Therefore, it is crucial to accurately forecast and analyze rainfall patterns to help mitigate the risks and consequences associated with it (Hernandez et al., 2016).

3.1. INTRODUCTION

Heterosis is the superiority of the F1s over the parental forms. The term heterosis was first used by Shull (1910) to describe the interpretation of increased vigour, size, fruitfulness, speed of development, resistance to diseases and insect pests or some other characteristics manifested by out-breeding organisms as compared to corresponding inbreds. Exploitation of heterosis is gaining momentum due to increased yield, quality, uniformity, better desirable traits and management of biotic stresses. The future of most of the economic crops will be for hybrids for sustainable development of higher economic returns to the farmers. Sustainable increase in area under hybrid crops is witnessed by its popularity and adoption by the farmers.

Introduction

Aquaculture, also known as aqua-farming, embodies the procedure of the farming of fish, crustaceans, molluscs, aquatic plants, algae, and other organisms. Aquaculture involves cultivation of freshwater and saltwater fish-populations under controlled conditions (Wikipedia, 2019). Aquaculture industry has undergone a lot of change in the last two decades. The application of the sophisticated technologies in the aquaculture industry has greatly altered the face of the industry in special relation to the Western and developed countries. New tools related to the measurement of the different environmental parameters needed to be controlled in different layers of the production process like Hatchery, Nursery and Grow-out have come up. Lots of data generated from the above stages relate to include the parameters, like, cost of production, health condition of produced fish, etc., which ultimately leads to the generation of the appropriate pricing of produce. With the advent of globalization, all aquaculture product companies need to look for exporting their respective products along with meeting the full satisfaction related to the demand from the domestic markets with an ultimate objective to increasing the profit. Export of the fisheries products in the western countries needs proper certification on the quality of the products duly by the appropriate authorities. The certification authorities need to check the detailed production process related to the fisheries- products in order to be sure about the quality imbibed in the same. The development of integrated software maintaining the details of the production process makes the task easy for both the production company and the certification authority, thus satisfying the needs of the end-customers in the western markets. Useful ERP software needs to maintain all relevant information on the production process commencing from the very early stage of the production till the act of selling the products in the market.

Transport systems are crucial to survival. Unicellular organisms rely on simple diffusion for transport of nutrients and removal of waste. Multicellular organisms have developed more complex circulatory systems. The circulatory system is responsible for the transport of the various essential compounds and other factors around the body, as well as the removal of the metabolic wastes that accumulate in the tissues from body activities to places of elimination.

Introduction

Time series data is data that has been collected in a specific pattern with time stamps. (Nayak and Ghosh, 2013). This type of time-oriented data is collected at regular intervals, such as hourly, daily, monthly, or weekly. Time series data can be used to make accurate predictions in a variety of fields and domains, such as foreign currency rates, stock market trends, energy consumption estimates, and climate change. Machine learning and data mining techniques can be used to uncover hidden patterns in historical data and forecast future trends (Aftab et al. 2018a, 2018b, Mishra et al. 2017).

Weather forecasting based on historical data is a complex but very beneficial task that comes with several issues that must be resolved to achieve optimal results (Wu and Chau, 2013). Weather data includes attributes or features such as temperature, pressure, humidity, and wind speed. Machine learning techniques are used to forecast future weather conditions by identifying hidden patterns and relationships in historical weather data (Aftab et al. 2018b). Prediction of precipitation is an important part of the weather forecasting process. The use of machine learning and artificial intelligence techniques is regarded as a critical component in farmer services and policy formulation. Farmers require weather forecasting to plan their activities following the predicted weather. Accurate and timely rainfall prediction in farming, in particular, can be extremely beneficial in planning and security measures for operations, agricultural tasks, water reservoir systems, and construction and transportation activities (Chau and Wu, 2010). Forecasting rainfall will become increasingly important in the future.

Changing Dynamics in HM

HM has transformed significantly; a lot because of changes in consumer behaviour, technological advancement, economic developments, regulatory changes, and growing consciousness of sustainability (Samaddar & Mondal, 2024). These changing dynamics have pushed customer’s expectations toward better and more personalized service (Law et al., 2024). Initially, the focus was on basic services and manual processes, but since then, the HM industry has embraced smart technologies like mobile apps, AI, IoT, and big data analytics. These developments have revolutionized the way customers interact; from merely checking in with their mobile phones, and controlling their room settings, to house-keeping and service delivery, thanks to AI-powered customization and automation. Using cloud services for managing properties and improving cyber security helps keep operations smooth and keeps data safe. Efforts to use energy and water more wisely show the industry's move towards being more sustainable. As the HM continues to evolve, industry stakeholders eye towards more personalized, efficient, and sustainable guest experiences. This would reflect the ongoing commitment to excellence and adaptation efforts to strive and evolve in the dynamic global landscape.

Introduction

According to the Food and Agriculture Organization (FAO), fish and fishery products accounts for 17% of the global human consumption of animal protein. Per capita food fish supply has grown to 18.4kg per person, an 8% rise since 2006. Approximately 54% of the seafood protein supply for human consumption comes from wild catch; unfortunately about 30% of the world’s wild-capture fisheries are overexploited and many fisheries are in bad shape and getting worse. Solving this problem will require innovative monitoring and management tools, but we can provide tremendous benefits if we act now to reverse our course. Taking a serious, in-depth look at fisheries could help feed the world’s growing population, and conserve marine species. Humanity is reaching farther and deeper into the oceans and, until recently, there were only anecdotes and guesses about the complete effects of our actions. Recent reports show that some fisheries are being managed sustainably and good progress is being made in reducing exploitation rates and restoring overexploited fish stocks and marine ecosystems.

Sustainable fisheries management is an integrated process that seeks to attain an optimal state that balances ecological, economic, social and cultural objectives for fisheries. It involves information gathering, analysis, planning, consultation, decision-making, allocation of resources and formulation and implementation, with enforcement as necessary, which govern fisheries activities to ensure the above mentioned fisheries objectives. A thorough knowledge on the fish resource assessment is of utmost importance for a fishery manager to effectively make decisions and implement it. In this chapter, an attempt is made to briefly explain the basic concepts of fish resource under management, its assessment and techniques to be applied.

10.1 Introduction

The assumptions on which analysis of large samples is done generally do not hold well in case of small samples (n < 30). In case of large samples we had presumed that the random sampling distributions of statistics are approximately normal and further that the values obtained by sampling study are close to the population values and can be used in their place for the calculation of the standard error of the estimate. These assumptions do not hold well if the size of the samples may or may not be normally distributed and similarly it is not possible to substitute the mean or the standard deviation of a small sample in place of the parameter mean or standard deviation for the calculation of standard errors. Under such circumstances the analysis of small samples has to be done by techniques which are different from those applicable in case of large samples.

Introduction

More than 380 million urban population living in town and cities generates 62 million tones of municipal waste every year out of which 75% is recyclable but only 30% is recycled and reused whereas less than 15% of municipal solid waste is treated. Generally municipal authorities of the country dump the waste outside the city to keep the urban area clean. According to World Bank report, by the year 2025, waste generation will reach 377,000 tonnes per day in India (CPCB 2020). The waste generated in industrial and urban area of the country is tangible and concerning. This is the high time to address this issue with a great sensitivity and planning. Ragpickers works as the informal waste collection and recycling sector which plays an important role in waste management and leads to lesser waste to the landfills (Gupta et al., 1998).

Waste management is the process of treatment and disposal of solid, organic and hazardous waste. It can be categorized based on the source sector i) urban waste; ii) electrical waste iii) medical waste; iv) waste produced by disasters; v) agricultural waste vi) industrial waste etc. The type of waste has variable potential harms for human health, social implications, policies and the environment (FICCI, 2011). Agriculture itself is a big source of waste generated at different paths of food supply chain that occurs as follows:

The following plants have been worked out in the laboratory of Prof. N. Raaman: Cynodon dactylon, Artemisia pallens, Leptadenia reticulata, Clausena dentata, Tylophora indica, Aristolochia bracteolata, A. indica, Cissus quadrangularis, Hypericum mysorense. and Solanum trilobatum. Out of some of the data of these plants have been included in the previous chapters. In this chapter, compound isolation (CD1) from Clausena dentata (worked by Dr. R. Kamaraj) and characterization of the compound are given in detail.

Division of PHT & Agricultural Engineering, IIHR, Hessaraghatta Lake Post Bangalore – 560 089, Karnataka

Food processing is the transformation of agricultural products into food, or conversion of foods of one form into other forms. Food processing includes various operations viz. grinding grain to make raw flour to home cooking to complex industrial methods used to make convenience foods. The processes and procedures used to transform one or more raw ingredients into a consumable product are all included in food processing units. Animal husbandry, horticulture, plantations, agriculture, and fisheries include the use of food processing facilities. It also includes other sectors that produce finished food goods using agricultural inputs. 

Introduction

The emerging functional foods market presents a considerable challenge to all manufacturers to keep abreast of the use of adequate packaging materials for their products. The interest in functional foods is intrinsically linked to the potential health benefits of their bioactive components. Preserving these bioactive components is, therefore, a crucial factor to providing the anticipated health benefits of functional foods. However, recurring failure in maintaining the quality of functional foods has been reported. Functional foods include a wide variety of products such as prebiotics and probiotics, dried foods (fibers, tea, herbs, etc.), fermented products (yogurts, kefirs, vegetables), and fresh fruits and vegetables. Their bioactive components (minerals, vitamins, fibers, peptides, proteins, w–3 polyunsaturated fats, antioxidants, enzymes, and symbiotics) range from very simple molecules to complex living organisms such as bacteria.

This concluding chapter, “The Future ECG: Predicting a Vibrant Agricultural Heartbeat,” therefore adopts a global lens, acknowledging that the quest for accurate and timely monsoon forecasts is a shared endeavor with worldwide implications. Just as the electrocardiogram serves as a universal diagnostic tool for assessing the health of the human heart, the advancement of monsoon forecasting represents a collective effort to understand and predict the vital “ECG” of agriculture in all monsoon-dependent regions. Throughout this book, we have examined the scientific principles and evolving technologies underpinning monsoon prediction. In this final exploration, we will broaden our perspective to consider how the future of this field will impact agricultural practices and livelihoods on a global scale. The innovations in satellite technology, climate modeling, artificial intelligence, and data analytics that we’ve discussed in the context of the Indian monsoon hold immense potential for enhancing forecasting capabilities in every corner of the world where farmers rely on these seasonal rains. Imagine a future where international collaboration fosters the sharing of data and expertise, leading to a more comprehensive understanding of global monsoon dynamics. Farmers in diverse monsoon-affected regions could benefit from increasingly precise and localized forecasts, empowering them to make informed decisions about planting, irrigation, pest management, and harvesting. This enhanced predictability promises not only to improve yields and reduce risks but also to contribute to greater resilience against the impacts of climate change, which are increasingly affecting monsoon patterns worldwide. “The Future ECG” in this global context signifies a hopeful outlook, one where continued scientific progress translates into a more secure and prosperous future for all those whose lives and livelihoods are intricately linked to the monsoons. It is a vision of a globally vibrant agricultural heartbeat, sustained by the everevolving science of forecasting and the collective commitment to supporting monsoon-dependent communities worldwide.

Introduction Antimicrobial resistance (AMR) has emerged as one of the gravest threats to modern medicine, undermining decades of progress in infectious disease control. It is cited by the World Health Organization (WHO) as one of the top 10 threats to global health. In 2019 alone, AMR was associated with approximately 4.95 million deaths, including 1.27 million directly attributable to resistant bacterial infections. This makes AMR a leading cause of death worldwide, surpassing HIV/AIDS (0.86 million deaths) and malaria (0.64 million deaths) in the same year. Projections suggest that if the trend continues unchecked, AMR could cause 10 million deaths annually by 2050, representing a profound human-cost escalation. Livestock and Animal burden While the quantitative burden of AMR in animals is not yet globally mapped, its effects in livestock are already both profound and alarming. Over 70% of all antimicrobials globally are used in farm animalsfrequently for growth promotion and disease prevention—not just treatment. This widespread use contributes to emerging resistance in key pathogens—Salmonella, E. coli, Campylobacter in poultry, and severe swine dysentery in pigs. In some outbreaks, swine dysentery, resistant to conventional treatment, has caused up to 90% morbidity and 30% mortality in weaned pigs. Animal-to-Human Transmission and the One Health Paradigm Antimicrobial resistance in livestock doesn’t stay on the farm—it seeps into the environment and crosses over to humans via food chains, direct contact, and environmental pathways. For example, substandard veterinary medicines and antibiotic misuse has been traced in zoonotic infections and veterinary-tohuman AMR transmission.Surveillance gaps remain: the World Organisation for Animal Health (WOAH) acknowledges that while human-related AMR mortality is well-documented, the animal health burden is not yet quantified globally—though numerous projects are underway to address this gap. The failure of conventional antibiotics to treat resistant infections highlights the urgent need for alternative therapeutic strategies. Among the most promising options is bacteriophage therapy—the use of viruses that specifically target and kill bacteria. Bacteriophages Bacteriophages, often referred to simply as phages, are viruses that infect and replicate within the bacteria. They are considered as the most abundant biological entities on Earth, with an estimated amount 10³¹ phage particles present in the biosphere—outnumbering bacteria by approximately tenfold. Phages are naturally found in diverse ecosystems including soil, ocean, sewage, and even within the microbiomes of humans and animals.

Introduction

Prebiotics are non-digestible food ingredient which beneficially affects the host by selectively stimulating the growth and/or activity of one or a limited number of health-promoting bacteria in the intestinal tract, thus improving the host‘s microbial balance (Gibson and Roberfroid, 1995). Normally, prebiotics contain some type of a non-digestible carbohydrate fraction (Rehman et al., 2009). Almost 90% of oligosaccharides escape digestion in the small intestine and reach the colon where they selectively stimulate the growth and/or activity of beneficial bacteria like Bifidobacteria, Lactobacillus and Streptococcus, providing prebiotic properties (Stanton et al., 2003). These bacteria populate the gut filling any niches were pathogenic bacteria may attempt to take hold. This concept is better known as competitive exclusion. Prebiotics function by lowering the gut pH through lactic acid production, inhibiting/preventing colonization of pathogens, modifying metabolic activity of normal intestinal flora, and stimulation of the immune system (Doyle and Erickson, 2006). Studies have demonstrated that these bacteria reduce pathogenic bacteria like Salmonella spp., Clostridium diffile and Campylobacter spp. (Hopkins and Macfarlane, 2003; Stern et al. 2000), by diverse mechanisms including competitive exclusion of nutrients or adhesion sites to intestinal mucosa (Stern et al. 2000) and fatty acid of short chain production, like propionic and butyric acids, which modifies the acidic conditions and inhibits the growth of microorganisms that cause infections (Collins and Gibson, 1999).

In simple words natural resources can be defined as any part of our environment such as land, air, minerals, forest, rangeland, wild life, fish and human beings.

The sum total of all physical, chemical, biological and social factors which compose the surroundings of man is referred to as environment and each component of these surroundings constitute a “resource”.  The natural resources are land, water, air, minerals, forests, rangeland, wild life or even human beings known as natural resource.

The five basic natural resources are energy, matter, space, time and diversity.

Abstract

The primary commercial energy sources such as coal, oil and natural gas poses an enormous challenge to our development goals including environmental degradation, as India is not well endowed with these exhaustible natural resources. Further, these conventional sources are also not available in right quantity and producing environmental pollution manifold in land, air and water. There are number of unit operations in food processing and value addition consuming bulk of conventional energy sources where renewable energy sources can easily be integrated for energy conservation and environment protection. There is significant potential for application of Renewable Energy Sources in different unit operation of food processing including drying of food products for energy conservation and for reducing hydrocarbon emissions.