eChapters

This chapter describes methods for evaluating soil reaction, salinity, organic matter and plant-available nutrients. It begins with soil pH and electrical conductivity, explaining their importance in nutrient availability and the identification of acidic, saline or alkaline conditions. Procedures are then provided for estimating organic carbon, available nitrogen, phosphorus, potassium and sulphur. The chapter also covers calcium, magnesium and micronutrients, including zinc, iron, copper, manganese, boron and molybdenum. Every method identifies the necessary apparatus and reagents and explains extraction, colour development, instrumental measurement, calculation and interpretation. Particular attention is given to calibration, sample preparation, reagent quality, contamination control and laboratory safe

Effective crop monitoring is essential for maintaining plant health, optimizing farm operations, and improving agricultural productivity. This chapter explores the application of artificial intelligence for real-time crop monitoring and farm management. AI systems integrate information from sensors, satellites, drones, mobile devices, and other sources to assess crop conditions and identify emerging problems. Machine learning and deep learning techniques can analyse crop images, environmental parameters, growth patterns, and field conditions to provide actionable insights. The chapter examines real-time monitoring, image analysis, crop health assessment, anomaly detection, and decision-support applications. It also highlights the role of IoT and multimodal agricultural data in developing intelligent and responsive farming systems.

Plant diseases significantly reduce crop productivity, quality, and economic returns, making early and accurate detection essential for effective crop protection. This chapter examines the application of machine learning and computer vision for identifying diseases at an early stage. It discusses agricultural image acquisition using RGB, hyperspectral, and sensor-based technologies, followed by image preprocessing, segmentation, feature extraction, and classification. Machine learning algorithms such as support vector machines, random forests, and convolutional neural networks are considered for disease recognition. The chapter also explores the integration of AI with IoT and mobile technologies and presents practical applications while addressing challenges involving datasets, environmental variability, model generalization, and computational requirements.

Increasing crop productivity while reducing resource consumption is a central objective of modern agriculture. This chapter examines how artificial intelligence can support crop yield improvement through data-driven analysis, prediction, and decision-making. AI models can integrate information from soil, weather, crop growth, remote sensing, IoT sensors, and historical yield records to identify important factors influencing productivity. Machine learning and deep learning approaches can support yield forecasting, crop selection, fertilizer and water optimization, and precision management. The chapter also considers AI-enabled genomic selection, market intelligence, and intelligent farm management. Challenges such as data availability, implementation cost, connectivity, farmer training, and model reliability are discussed alongside future opportunities including edge AI and explainable AI.

Reproductive development determines flowering, pollination, fruit set, fruit growth, maturation, and ultimately horticultural productivity. This chapter introduces the physiological processes controlling flowering and reproductive development and explains the influence of environmental factors and plant hormones. Major plant growth regulators such as auxins, gibberellins, cytokinins, ethylene, and abscisic acid are considered in relation to horticultural applications. PGRs can influence rooting, flowering, fruit set, fruit size, thinning, ripening, dormancy, and senescence when used appropriately. The chapter emphasizes crop-specific concentration, timing, method of application, and environmental conditions, highlighting the importance of responsible PGR use for improving yield, quality, and marketability.

Climate change presents horticulture with increasing challenges including heat stress, water scarcity, erratic rainfall, extreme weather, new pest pressures, and changing crop suitability. This chapter examines strategies for developing climate-resilient horticultural systems through improved cultivars, efficient irrigation, protected cultivation, mulching, canopy management, soil-health practices, and diversification. Climate-smart production also requires better forecasting, monitoring, risk management, and resource efficiency. Future horticulture is expected to integrate biotechnology, artificial intelligence, precision agriculture, automation, renewable energy, and resilient production systems. The chapter emphasizes adaptation rather than dependence on a single technology, promoting integrated approaches that maintain productivity, quality, profitability, and ecological sustainability under changing climatic conditions.

Sustainable horticulture seeks to produce nutritious and economically valuable crops while conserving soil, water, biodiversity, and other natural resources. This chapter examines organic, natural, and broader sustainable production systems and their underlying principles. Topics include organic inputs, compost, biofertilizers, biological pest management, crop diversification, mulching, recycling, soil-health improvement, and reduced dependence on synthetic inputs. Certification systems and market requirements are also considered, including Indian and international organic standards. The chapter distinguishes different production philosophies while emphasizing practical sustainability. Successful systems must maintain productivity, profitability, environmental quality, and consumer confidence. Sustainable horticulture therefore combines ecological principles with sound crop management, market awareness, and responsible resource use

The growing demand for sustainable materials has encouraged the development of green composites based on bio-based polymers and renewable reinforcements. This chapter explores advanced carbon nanomaterials, including graphene, graphene oxide, carbon nanotubes, carbon nanofibers, and carbon quantum dots, as functional reinforcements for green composites. It discusses their synthesis, functionalization, incorporation into biopolymer and bio-based matrices, and influence on mechanical, electrical, thermal, and barrier properties. Particular attention is given to green synthesis approaches using biomass-derived resources, surface modification, dispersion, environmental considerations, scalability, cost, and life-cycle assessment. The chapter also considers future opportunities for multifunctional and commercially viable sustainable nanocomposites.

Two-dimensional nanomaterials have expanded the possibilities for designing advanced green composites with tailored multifunctional properties. This chapter focuses on MXenes and nanosilicates, including laponite, montmorillonite, and halloysite, as important alternatives and complements to graphene-based nanomaterials. Their integration into green composite matrices can influence mechanical strength, thermal stability, barrier characteristics, surface functionality, and other performance parameters. The chapter examines the development of advanced green composites based on these nanomaterials and considers their potential for sustainable material design. Particular attention is given to the relationship between nanoscale structure, matrix interaction, and composite performance, highlighting opportunities for multifunctional and environmentally responsible material systems.

Herbal Based Formulations presents plant-derived preparations used for pest, disease, viral-vector, growth, and development management. The chapter includes neem seed kernel extract, Vitex, onion, tobacco, chilli-garlic, ginger, custard apple, eucalyptus, lantana, mint, marigold, papaya, aloe, pomegranate waste, and other botanical preparations. It organizes formulations according to their intended agricultural function and provides examples of decoctions, extracts, sprays, and fermented products. The chapter demonstrates the diversity of locally available plant resources that can be incorporated into natural farming practices. It also highlights the practical importance of botanical inputs for reducing dependence on synthetic crop-protection products while supporting sustainable farm management. effectively.

INTRODUCTION

India is endowed with a rich and vast diversity of natural resources. However, increasing demographic pressure, unscientific use of soil and water, rapid industrialization and urbanization are leading to over exploitation of the resources. Prime agriculture lands are being diverted for non-agriculture use. The per capita availability of cultivated land has declined over the years from 0.53 ha in 1950 to 0.32 ha in 2001 and is expected to further reduce to 0.23 ha by 2025 and to 0.09 ha by 2050 (GOI 2011). Owing to population pressure the consumption of fuel-wood and fodder in the country is much higher than what can be sustainably removed from forests. In India, nearly 86 million tonnes of fuelwood is being removed from the forests and plantations every year in excess of what they are capable of producing on sustained basis (Planning Commission 2001). Our rich and bountiful biological diversity is also showing signs of erosion which is affecting the livelihoods of millions of people who are directly or indirectly dependent on it. Further, water is mostly treated as a free commodity in the country which is leading to its unsustainable exploitation. Erosion due to wind and water is also leading to depletion of natural resources. About 5334 m tones of soil is lost (16 t ha-1) due to wind and water erosion annually which is highest in black soils (24-112 t ha-1) followed by Shiwaliks (80 t ha-1) and shifting cultivation (27-40 t ha-1) (Mandal et al. 2008). It is now widely accepted that future of food, livelihood and environmental security depends upon the attention paid to conservation, sustainable development and management of natural resources. Corrective measures are immediately required to check the damage caused to the resource base and environment. 
Traditionally, trees and crops were grown in association with each other on farm lands. The reason was to get multiple outputs from same piece of land, though such systems were exclusively meant for sustenance with little or no commercial intent. As the population increased there was a need to produce more food and hence slowly the tree component vanished from the farmlands and monocropping became dominant. Over a period of time, due to monocropping, soil degradation had been observed. The need of the hour is to accept the trees as an integral part of the farming system to revert soil degradation and erosion and also to reduce the dependence of external inputs in form of fertilizers, pesticides etc. in the production system.
Of late, incorporating trees on the farm lands has been given impetus to get multiple products (fodder, fuel, timber, fiber and fruits) on one hand and resource conservation (soil, water and environment) on the other. Different agencies (institutes, universities and NGO’s) are working on developing region specific agroforestry models to derive maximum advantage of production and conservation from every unit of land. Agroforestry is capable of yielding both wood and food besides conserving and rehabilitating ecosystems. Agroforestry generates high income and minimises risks through efficient utilization of available resources and is thus considered   a potential technology for commercial and protective farming.
The extent of the area under agroforestry is not very clear. Trees outside forests in India is estimated between 14,224 million (Ravindranath and Hall 1995) and 24,602 million (Prasad et al. 2000) which is spread over an equivalent area of 17 million ha (GOI 1999) supplying 49% of the 201 million tonnes of fuelwood and 48% of the 64 million m3 of timber consumed annually by the country (Rai and Chakrabarti 2001). Dhyani et al. (2006) reported 7.45 million ha under agroforestry.  As per one of the estimates, about 27.52 million ha is under various types of tree plantations, which include agroforestry, social forestry, farm forestry and others (Table 1). The task force on Greening India (Planning Commission 2001) has identified a potential of 10 millions ha in irrigated lands and another 18 million ha in rainfed areas that could be developed through agroforestry on watershed basis. 
The present chapter focuses on the advantage of integrating trees on the farm lands in form of agroforestry for natural resource management.

Rice is one of the major staple food of the world’s population. About 114 countries grow rice and more than 50 have an annual production of 100,000 tonnes or more. Asian farmers produce about 90 per cent of the total, with two countries, China and India, growing more than half of the total crop. For most rice producing countries where annual production exceeds one million tonne, rice is the staple food. In Bangaldesh, Cambodia, Indonesia, Lao PDR, Myanmer, Thailand and Vietnam, rice provides 50–80 per cent of the total calories consumed.

Gladiolus (Gladiolus spp.) belongs to family Iridaceae and subfamily Ixioideae. Gladiolus is a Latin word, the diminutive of “gladius” meaning sword, sometimes called as sword lily. The plant is herbaceous perennial and semi-hardy. It is commonly grown from rounded, symmetrical corm, which is enveloped in several layers of brownish, fibrous tunics. The cultivated gladiolus is a complex assemblage of cultivars originating from complex ancestry of natural selection or hybridization involving several species. Modern garden gladiolus is a complex of at least twelve species (Raghava, 2000). It is an important commercial cut flower in both domestic and international markets.

ORIGIN AND DISTRIBUTION

There are two main centres of distribution of Gladiolus species, one in Mediterranean basin and the other in southern and central Africa (Lewis et al., 1972 and Delpierre and Du Plessis 1974). Most of the species are native to Mediterranean region and tropical parts of the South Africa, particularly the region of the Cape of Good Hope (Raghava, 2000).

The name gladiolus was coined by Pliny the Elder (A.D. 23-79) to describe the shape of the leaf which resembles that of sword (Latin word gladius meaning sword). It is native to South Africa. Most of the species scattered throughout South Africa, Zambesi River, Rhodesia, Mt. Kilimangero, Tanganyika, Natal and Cape of Good Hope, Republic of South Africa, Madagascar and Abyssinia (Ethiopia). Gladioli are said to be cultivated since the days of ancient Greece. As evidenced by a record in Lyte’s Nieeve Herball, it is known since 1578, first introduced in France and soon after spread to England, Germany, Holland and North America. No evidence is available that any species of gladiolus of South African origin was ever grown in Europe prior to 1700. Cornutus described Gladiolus aethiopion bearing light red-scarlet flowers and is from Cape region. In the middle of eighteenth century the South African species were introduced into Europe. Gladiolus tristis closely related to G. grandis was first introduced in Chelsea Physii Garden, UK in 1745 from Cape region and Walat. G. illyricus is native to Mediterranean region. In 1749, Gladiolus grandis was naturalized in Spain from South Africa.

By 1816, France, Holland and Belgium started raising hybrids, the first being Ghant Gladiolus, Gladiolus gandavensis, in 1841, by crossing G. cardinalis and G. psittacinus and vice-versa. Gladiolus primulinus having central petals with hooded characteristics was collected from its native place on the banks of Zambesi River near Victoria Falls in 1902. Victor Lemoine of France used G. primulinus for producing ‘Primulinus Hybrids’ during 1906-1908 while A.E. Kunderd of Indiana, U.S.A. in 1915 produced a similar race ‘Primulinus Grandiflora Hybrids’ by using same parentage as Lemoine. In 1907, first ruffled gladiolus with fimbriated and frilled petals was produced by the efforts of Kunderd.

Gladiolus is a potential flower crop for floriculture industry in India. Gladiolus is commercially grown in West Bengal, Maharashtra, Uttar Pradesh, Uttarakhand, Punjab, Haryana, Sikkim, Jammu and Kashmir, Karnataka, Gujarat, Himachal Pradesh, Tamil Nadu, Madhya Pradesh, Delhi and Rajasthan. The area of the states of U.P., Uttarakhand, Haryana, Punjab, Rajasthan and H.P. and surrounding Delhi grow gladiolus mostly for Delhi flower market (Singh, 2006).

1. Introduction to Nepal and its Agriculture

1.1. Geography

Nepal is a country of enormous geographical diversity, and is situated in the southern slopes of the central Himalayas, which spreads over an area of 1,47,181 square kilometers. Sandwiched between India on three sides- east, west, and south – and China to the North, Nepal is a land-locked country (CBS,2003).
 
Geographically, the country is broadly divided into five roughly parallel east-west regions (ecological belts), which from north to south are known as High Mountains, Mountains, Hills, Siwaliks  and Tarai. With altitudes ranging from less than 100 m in the Tarai to 8,848 m in the High Mountains, there exist different climates and different types of farming systems within Nepal. As a result of these diversities, a wide variety of crops, vegetables and fruits are produced.
 
For administrative and developmental purposes, Nepal is divided  into 75 districts. Each district is further divided into Village Development Committees (VDCs) in rural areas and municipalities in urban areas. At present, there are 3,913 VDCs and 58 municipalities in Nepal.

Abstract

The applications of enzymes are awe inspiring marvels of nature. Scientists can use enzymes to explore all aspects of biology; from molecules to cells to tissues to organs to organism as a whole. For the purpose of food and drinks, enzymes have been exploited by men for thousands of years without really knowing what they are and how do they work? Enzymes have played a pivotal role in many aspects of life since the dawn of life. Today, biocatalysis is being used as a useful alternative to chemical process technology. The fact that enzymes work under much milder conditions oftemperature, pressure and acidity, thus, obviate harsh processing conditions and thereby decrease the possibility of damage to heat labile substrates and save energy. Enzyme technology being eco-friendly can be justifiably termed as‘Green technology’. Due to their high specificity and high catalytic rate, enzymes prevent wastage and reduce time of processing / manufacturing, respectively. The ability of enzymes to act on wide variety of substrates has made them useful tools to exploit cheaper starting material in food industry. Reportedly, over 45% of the enzymes produced are being used in food industry and remaining is shared by detergent (34.4%), textile (11%), leather (2.8%) paper and pulp (1.2%) and other industries (5.6%). Enzymes serve a myriad of functions in food processing, from maximizing juice extraction of pectin-rich fruits to extending shelf-life in baked goods through slowing starch retro-gradation. Indian food processing industry has seen significant growth and changes over the past few years. Though, the market of enzymes is increasing at a fast pace but most of the enzymes of the food sector are coming from overseas. Seeing the unparallel role of enzymes in food processing sector as in multifaceted domains, the researchers should emphasize upon finding novel enzymes and explore their untapped commercial benefits using modern techniques of enzyme engineering, immobilization and biotechnological interventions.

Since the dawn of civilization, the human species had an intimate association with fruits, roots, nuts and other vegetables that sustained them through the ages. This mutualism continued and flourished through domestication and organized culture of horticultural crops. Pretty long before, homestead gardening had been evolved in different parts of the globe independently to become a part of tradition in almost every society. Plant domestication by all likelihoods started around the human settlements. The obvious reasons for this were man’s need, better supply of water and organic household wastes and protection against destruction or grazing by animals, that’s why the prospective horticultural enterprise of homestead gardens all over the world is still the most enduring and sustainable form of family food production system and very important micro-units for conservation of plant genetic resources. The traditional and indigenous endeavour of the tribal people for conservation of land races also noteworthy contribution from one generation to the next. Though cereals are staples for most of the world population, there has been sustained emphasis on horticultural crops, particularly vegetables, all over the world during last few decades. The possible reasons are:

1. OVERVIEW OF AGRICULTURAL SCENARIO AND EXTENSION SYSTEMS IN JAPAN

1.1. Japanese Agricultural Policy and its Short History

The modernization of Japan’s agriculture was started through mechanization such as cultivators, rice planting machines, tractors and combines in the 1960s. Mechanization led to a large decrease in hours spent on rice cultivation, and the redundant labor force moved from agriculture to the manufacturing industry. This movement resulted in the modernization of rice cultivation, high productivity and high income for farm households.

On the other hand, a decreased demand for rice caused by westernization of the diet, e.g. greater consumption of animal products, became a serious problem. The national government decided to regulate rice production, and the acreage of paddy fields equivalent to the excess rice production has been used to cultivate other plants since 1978. Nowadays, the permitted area for planting rice is about 60 per cent of the paddy fields, with the other 40 per cent used to cultivate other plants such as barley, soybean, buckwheat and so on.

12.1. BASIC AND CURRENT FACTS OF AGRICULTURE

Basic information related to agriculture and allied sciences in India

Abstract: Genus Jasminum contains 90 species to be true in existence and use, range from landscape to hair adornments, and perfumes. It is native to Indo-Malayan region. Morphological variants from different species have been developed in different regions in India. Unfruitfulness, cross incompatibility, pollen and seed sterility, delicate flower parts, peak and active night flowering, endosperm antagonism often pose significant challenge to breeders. Genetic information and trait heritability is almost unknown for this crop. Phenotypic traits requiring future improvement include recurrent flowering for fresh flower market, high concrete recovery, biotic and abiotic stress tolerance. Future breeding and genetic studies are needed for further transform this crop.

Mungbean (Vigna radiata L Wilczek) is considered to be originated from Vigna sublobata. It is also known as green gram, an important short duration grain legume with wide adaptability, low input requirements, and the ability to improve soil fertility by fixing atmospheric nitrogen. Mungbean is well suited to a large number of cropping system and constitutes an important source of cereal based diets. Mungbean is used for different purpose. The major portion is utilized in making dal, curries, soup, sweets and snacks. The food values of mungbean lie in its high and easily digestible protein. Mungbean is grown throughout Asia, Australia, West Indies, South and North America, Tropical and subtropical Africa. However, India alone accounts for 65% of the world acreage and 54% of the world production. It is widely cultivated in India in different seasons; however, the maximum area is under kharif cultivation. Extremely plastic morphology, phenology and short maturity duration (60 days) makes the crop ideal as a catch crop, inter crop or relay cropping. It is grown as sole relay crop in rice fallows during rabi season in A.P., Tamilnadu, Karnataka and Orissa and sole catch crop during spring/summer season in Uttar Pradesh, Bihar, West Bengal, Jharkhand, Punjab, Haryana & Rajasthan (Table 1).

Chickpea, Cicer arietinum L, is the second most important pulse crop in the world. In India, it occupies prime position in terms of area, production and economic value and as an important constituent vegetarian diet. Chickpea is traditionally grown in many parts of the world covering Asia, Africa, Europe and North and South America. But the bulk of it is produced and consumed in South Asia and increasingly in Middle East as well as in some Mediterranean countries. Recently, chickpea cultivation started in Australia, Canada and USA mainly for export to south Asia. The cultivated species, Cicer arietinum L. (2n=16 and n=8), is characterized by possessing two distinct types-small and brown seeded known as desi type, and bold and white seeded known as kabuli type. The former is mostly cultivated in Indian sub-continent. Chickpea (Cicer arietinum L.) is also known by several common names viz., Bengal gram, Gram, Chhola, Hommes and Garbenzobean.

Chickpea provides 2-3 times more protein than many cereals, constituting a major component of the agrarian diet of the Indian sub-continent. Chickpea grains provide about 18-24% protein, 4-10% fat, 52-70.9% carbohydrate, 10-23% fibre, minerals and vitamins. Among essential amino acids lysine, methionine, threonine, valine, isolucine and leucine are major components of seed protein. It also contains considerable amount of vitamins such as B₁ and B₂, ascorbic acid (vitamin C) and niacin also. Chickpea, therefore, plays an important role in human nutrition.

13.1 INTRODUCTION

Weed is defined as an unwanted plant growing at a place where it is not desired. Weeds are unwanted and undeserved plants that interfere with the utilization of the land and water resources and thus adversely affect crop production and human welfare. Thus, a plant out of its place or a plant growing where it is not desired at that time is a weed. Weed has no species, but name was suggested as a useless and harmful plant that persistently grows where it is quite unwanted. According to Jethro Tull, the father of Weed Science, weed is defined as the unwanted, undesirable plant, growing out of their proper place, which interfere with the utilization of natural resources, prolific, persistent, competitive, harmful and even poisonous in nature and can grow in adverse climatic conditions. Of the total losses caused by pests, weeds have a major share (30%). They reduce the crop yield and decrease the quality of produce and hence reduce the market value of the turnout. Weeds are a major problem to horticultural production as they take advantage of their initial slow growth rate. Weeds reduce crop yield, lower their quality, act as alternate host of many pests/diseases and also have allelopathic effects on crops. Weeds also interfere with vital farm operations like weeding, fertilizer application, herbicide application and harvesting. Both annual and perennial weeds are common in their actions reducing the productivity of fruit trees. Weeds also provide shelter to various pathogens by becoming an alternate or collateral host of invaded crops by a number of fungal, bacterial and viral diseases.

The worst weeds found in the world are Cyperus rotundus, Cynodon dactylon, Echinochloa crusgalli, Echinochloa colona, Eleusine indica, Sorghum halepense, Imperata cylinderica, Eichhornia crassipes, Portulaca oleracia, Chenopodium album, Digitaria sanguinalis, Convolvulus arvensis, Avena fatua, Amaranthus hybridus, Amaranthus spinosus, Cyperus esculentus, Paspalum cojugatum, Rottboelia exaltata (Rana and Rana, 2016). All of these weeds are found in India. It has been reported that about 36-42% losses may occur due to inadequate management of weeds in apple (El- Metwally and Hafez, 2007). Therefore, management of weeds in all agro-ecosystems is crucial to sustain our crop productivity and to ensure the food security to the rapidly increasing population.

The major focus of the study was to critically analyse the overall performance of Women Dairy Cooperative Societies (WDCS) in two districts of Odisha. The methodology used in carrying out investigation has been outlined in eight sections as mentioned below.

1. Selection of problem
2. Research design
3. Plan of work
4. Locale of the study
5. Sampling procedure

Soil mechanics as a distinct branch of soil science is comparatively of recent growth. Its need arose from the fact that the requirements of the engineer are very often quite different from those of the agriculturist. Whereas the former would as a rule require hard, compact, impervious soil, the latter would have no use for it for the growth of his plants which require soft, friable and porous soil. The agriculturist generally has to look up to nature to help him out of his difficulties, the engineer has to depend on his scientific skill to modify the soil to suit his requirements. In this chapter an attempt will be made to explain in a simple language the requirements of the building, road, and irrigation engineer for particular types of soils and how they are met by modifying the soil if the required properties already do not exist.

Introduction

With growing concern about climate change, environmental sustainability, soil health and food safety, conservation agriculture, organic agriculture and protected cultivation are emerging production systems being popular in India. The changing farm practices in these production systems invite many biotic stresses and demand novel approaches for their sustainable management for profitable farming. The dynamics of biotic stresses vary from system to system; therefore they require system specific approaches for sustainable management. The different agronomic/ plant protection measures practiced in above mentioned emerging systems are listed in Table 1. Protected cultivation is meant for the high value crops are grown, the management of biotic stresses is the foremost important to minimize losses. Organic farming demands more preventive measures for sustainable control of biotic stresses rather than curative measures because of complete restriction on use of harmful chemical pesticides. Conservation agriculture demands more of ecofriendly measures for biotic stress management with minimal use of pesticides. In this chapter, we discussed novel approaches for biotic stress management in emerging production systems.

Beverage: It includes all drinks whether they are fermented or unfermented, prepared from fruits or non-fruit, sweetened or unsweetened eg. tea, coffee, coca cola, cider, maaza are all beverages.

Fruit Beverages : Beverage which is prepared partly or fully from fruit juice or pulps with or without additives eg. pure fruit juice, squash, cordial, RTS beverage etc.

Non-fruit Beverage : Beverage which does not contain any fruit part eg. Coca cola, pepsi, sherbet etc.

Unfermented Juice or Pure Fruit Juice: This is the natural juice pressed out of the fruit and practically its composition remains unaltered during preparation and preservation. No additives like sugar, acid, water etc. are added. eg apple juice, orange juice.

Fruit Juice Beverage: This is the fruit juice that has been considerably altered in composition by adding water, sugar, acid, flavour, colours, preservatives etc. before consumption. It may or may not be diluted before it is served as a drink eg. squashes, nectars, appetizers etc.

Biodiversity is a magnificent contribution of nature on our planet. The great variety of life forms on earth has catered for man’s needs over thousands of years. This diversity of living creatures which forms a support system has been used by each civilization for its growth and development. Those that used this “bounty of nature” carefully and sustainably survived. Those that overused or misused it disintegrated. The attempt to classify and categorize the variability existing in nature for over a century has led to an understanding of its organization into communities of plants and animals. This information has helped in utilizing the earth’s biological wealth for the benefit of humanity and has been integral to the process of development. This includes better health care, better crops and the use of these life forms a raw material for industrial growth which has led to a higher standard of living for the developed world. However, this has also produced the modern consumerist society, which has had a negative effect on the diversity of biological resources upon which it is based. The diversity of life on earth is so great that if we use it sustainably we can go on developing new products from biodiversity for many generations. This can only happen if we manage biodiversity as a precious resource and prevent the extinction of species.

The sustainable management of biodiversity is one of the most important challenges facing humanity. Biological diversity, abbreviated to biodiversity, refers to the variety of life forms at all levels of organization, from the molecular to the landscape level. These are the legacy of billions of years of evolution, shaped by natural processes and increasingly, by the activities of humans. Losing biodiversity has eroded the basis for social and ecological resilience, which has resulted in reducing the capacity for adaptive responses in a rapidly changing world. However, human activities still continue to have a large impact on the environment and on biodiversity. Agricultural, urban and infrastructural developments and climate change has exacerbated biodiversity loss. As a result, ecosystem functions and services are affected with serious consequences. The Sustainable Development Goal should be devoted to “protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss”. It is high time to realize the linkages between the severity of global biodiversity loss and degradation of ecosystems and the negative impact that this situation have resulted on food security, nutrition, access to water, health of the rural poor and people worldwide.

14.1. Introduction

Environmental pollution primarily deals with five types of pollution: soil pollution, water pollution, air pollution, sound pollution and light pollution. However, soil, water and air pollutions are considered very important as the pollutants from the environmental compartments may be cycled within themselves, enter the food web and interfere the biological processes adversely of any living species. Soil supplies nutrients and water to plants which, in turn, act as the nutrient supplier to animals and humans. Thus, maintenance of soil quality is considered prerequisite for growth of plants, animals and humans. If soil, water and air are polluted through various mechanisms, living components in the environment are suffered adversely. Soil, water and air pollutions are associated with the build-up of soil contaminants such as toxic organic and inorganic compounds, petroleum hydrocarbons, radioactive materials, salts, disease causing agents etc. above the permissible limit, so that their presence will cast adverse effects on physicochemical and biological properties of soil which in turn exert negative impact on crop growth and on any non-targeted organisms. Common soil contaminants include heavy metals, pesticides, petroleum hydrocarbons, fertilizers if used in excessive amount, and many others. Contamination of the soil, air and water results from intensification of farming activities. Primarily nutrients (particularly nitrogen and phosphorus), sediment, wastes, pesticides and salts are regarded as agricultural nonpoint source pollutant. Realistically, most of the pollutants originate from anthropogenic activities, although there exists many naturally occurring mineral components that may exhibit toxicity towards living system at higher concentration. Land disposal of municipal and industrial wastes, automobile emissions, mining activity, and application of fertilizers and pesticides to agricultural field cause a continuous accumulation of heavy metals and other pollutant components in soils. These pose threats of environmental degradation via soil erosion, loss of biodiversity, climate change etc.

Reproduction is essential for the survival of the species but not for the survival of the individual. The female reproductive system is entrusted with the responsibility to produce female gametes ie ova and hormones that regulate and integrate the functional activity of the female reproduction.

Liberalized economies and evolving businessstrategies push variousindustries to achieve a competitive edge both in the domestic and international markets. Food industry especially, works on the bedrock of quality of products and services in order to attract and retain customers. In this new world of economic order, customers can select from wide range of products and services that are available in the market.

Food safety is a discipline ensuring safe consumption of food without any injuries to human health. It is multifaceted and influenced by various factors including, food processing, handling and practices, consumer demand and their knowledge, globalization of world food trade, changes in food consumption pattern (Chen et al., 2020).

• Fruit research in India was started in the department of Botany in six-agriculture College in 1905.
• A pomological station was established at Coonoor, Ooty in 1920 to study the adaptability of temperate fruit varieties.
• Four Regional Research Station in - 1933

Subtropical location at

• Sabour, Bihar
• Koduru, Madras
• Krishnanagar, Bengal
• Temperate Region at Chaubatia, Uttarakhand
• The research was also initiated in 1945 in Jammu and Kashmir by the Survey of deciduous fruits
• In 1950, Horticulture Research Station was established at Kandaghat and Kullu

About Northeast India

A serene land tucked up in the lap of mighty Himalayas, the North East regions in India is bestowed with picturesque locale and inexorable culture. The vast stretch of land located on the foothills of Himalayas, is a glorious heritage of art, culture and festivities. The tropical beauty of India, finds itself an all new meaning when we enter this paradise of tranquility. The serene ambience and salubrious climate of the region attracts people from all over the world. It almost feels like the valley casts a magical spell upon its visitors to replenish their soul making them feel rejuvenated. The widely scattered archeological specimens in the region speak aloud about the mythological significance of this part of the country, the North East region of our country bears testimony to our rich cultural heritage.

Table cream: It is also called coffee cream, single cream or homogenized cream. It is used in coffee and tests about 20% butter fat.

Table oil expeller: It is a type of the machine that is used for extraction of the oil from the oil seeds (Plate 588).

Table ready meat: Cooked and smoked sausages are called table ready meat.

Tal prolong: This wax is esters of fatty acid glycosides NaCMC.

TAME: It stands for p-Toluene sulfonyl L- arginine methyl ester. It is used in isolation of Trypsin inhibitor.

Breeding of Indian Major Carps (IMCs) and Minor Carps involves specific practices to induce spawning in these fish species. IMCs, like Catla, Rohu, and Mrigal, are typically bred during the monsoon season through induced breeding methods, which involve injecting hormones or chemicals to trigger spawning. Minor carps, while also bred during the rainy season, may have slightly different hormone injection dosages and breeding practices.
The carps are freshwater fishes which contribute about 85% of aquaculture production in India. It has the first position in global freshwater aquaculture production. Commonly cultivated carp varieties are catla (Catla catla), rohu (Labeo rohita) and mrigal (Cirrhinus mrigala) which are of Indian origin and are collectively called as Indian Major Carps (IMC) which depends on different niches of a water body.

A drone is a sophisticated piece of technology made of many key components that work together to enable flight and various functions. The primary parts include the frame, which provides the structure and support for all other elements; the motors and propellers, which generate lift and control movement; the flight controller, acting as the brain of the drone, processing input from sensors and guiding the drone’s flight path; and the battery, which powers the system. Moreover, sensors like GPS, accelerometers, and gyroscopes are integral for stability and navigation. Many drones also feature cameras and other payloads for specific tasks, such as aerial photography, surveying, or surveillance. These components, working in harmony, allow the drone to perform a wide range of applications in industries like entertainment, agriculture, and delivery.
KEY COMPONENTS OF A DRONE
Agricultural drones consist of multiple components, including a remote controller, an aerial platform, and a spraying mechanism. They possess sensors, cameras, and more components to enhance crop management and productivity. Understanding the fundamental components is vital to understanding the potential of agricultural drones. This section delineates the essential components that render these drones viable instruments for contemporary agriculture.

INTRODUCTION
A produce packing plant is a specialized facility designed to sort, package, and sometimes store fresh produce. These facilities are essential in the agricultural supply chain, helping to maintain the quality, safety, and freshness of fruits and vegetables as they are prepared for distribution to retailers or consumers. Packing plants are commonly used in commercial agricultural operations, especially for fruits and vegetables grown in large quantities.
Uses and Managing a fruit and vegetable packing plant involves overseeing all activities related to the handling, grading, packaging, and storage of fresh produce, ensuring that it meets quality standards and is ready for distribution. Effective operations and management are essential to maintaining product quality, optimizing efficiency, and ensuring profitability for producers and suppliers. The operation includes several stages that require coordination, from the receipt of the harvested products until they are sent to markets or retailers. Management, on the other hand, refers to the processes, strategies and decisions that ensure the smooth operation of the packing plant.
Packing plants serve as a collection center for fruits and vegetables prior to their distribution and marketing. These can be simple packing sheds with limited equipment and minimal operations or a large, well-equipped complex with equipment for specialized operations. The types of operations performed vary depending on the different products and market demands. Products destined for export or supermarkets often undergo more elaborate operations than those in local markets. Some of these operations include the following:
OPERATION
The specific operations carried out in a packinghouse depend on the type of crop being processed and the target market. Some or all of the following steps may be involved:

Artificial Intelligence (AI) tools have rapidly transformed the way we work, learn, communicate, and solve problems in the 21st century. From automating routine tasks to assisting in complex decision-making, AI tools are becoming an essential part of modern life and professional environments. These tools use technologies such as machine learning, natural language processing, computer vision, and data analytics to perform tasks that traditionally required human intelligence. As a result, AI is not only increasing productivity but also changing the nature of work across industries. AI tools are software applications or platforms that use artificial intelligence to perform specific functions such as content creation, data analysis, customer support, language translation, image generation, video editing, coding assistance, and workflow automation. Today, AI tools are used in education, healthcare, business, marketing, finance, engineering, journalism, and many other fields. For example, students use AI tools for research, writing, and learning new concepts; businesses use AI for customer service chatbots, data insights, and marketing automation; and designers use AI for image and video creation.

Microbiology is the scientific study of microorganisms, including bacteria, fungi, algae, protozoa and viruses, and their interactions with plants, animals and the environment. Microorganisms are microscopic in size but have enormous importance in agriculture, food production, environmental management and biotechnology. In agricultural systems, microorganisms contribute to decomposition of organic residues, nutrient cycling, soil fertility, plant growth and suppression of harmful organisms. Beneficial microorganisms also form associations with plant roots and improve nutrient availability and plant health. At the same time, certain microorganisms cause plant diseases, food spoilage and environmental contamination. Agricultural microbiology applies the principles of general microbiology to understand these beneficial and harmful activities in farming systems. This chapter introduces the scope and importance of microbiology, major groups of microorganisms, basic laboratory concepts and their applications in agriculture. An understanding of microbial structure, metabolism, diversity and ecological functions provides the foundation for studying soil microbiology, plant–microbe interactions, biotechnology and environmental remediation.

River-training works guide and regulate the flow of a river to achieve a stable channel alignment, protect banks, improve navigation, prevent erosion, and reduce flood damage. Rivers naturally change their course through sediment deposition, bank cutting, meandering, and variations in discharge. Engineering interventions must therefore account for hydraulic forces, sediment movement, channel morphology, and long-term river behaviour. This chapter defines river training and explains its objectives, benefits, limitations, and key design principles. It discusses guide banks, groynes or spurs, embankments, revetments, pitching, launching aprons, cut-offs, and related protective works. It also considers structural placement, classification, construction materials, maintenance, and environmental consequences.

Flood routing predicts how a flood hydrograph changes as it passes through a river reach or reservoir. Storage, channel geometry, friction, inflow distribution, and outlet conditions generally reduce, delay, or otherwise modify the flood peak. Routing results help forecast downstream water levels, determine reservoir releases, design spillways and channels, issue warnings, and evaluate flood-control alternatives. This chapter introduces the continuity and storage principles underlying flood routing and distinguishes reservoir routing from channel routing. It discusses hydrologic and hydraulic approaches, including level-pool, Muskingum, and related techniques. Attention is also given to inflow and outflow hydrographs, routing coefficients, travel time, attenuation, data requirements, assumptions, calculations, and practical engineering applications.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Soil health and nutrient availability are fundamental determinants of plant growth, crop productivity and sustainable agricultural production. This chapter examines how artificial intelligence can support soil health monitoring and nutrient management. It introduces soil health concepts and nutrient dynamics before exploring AI technologies capable of processing soil, environmental and crop-related datasets. AI-based approaches can assist in identifying soil conditions, assessing nutrient requirements and developing site-specific nutrient management strategies. Integration with precision agriculture technologies can improve fertilizer-use efficiency and reduce unnecessary inputs. The chapter also considers practical case studies, challenges and future opportunities. By combining AI with agricultural data, soil monitoring can become more timely, precise and useful for informed crop management.

Early and accurate detection of plant diseases is essential for protecting crop productivity and reducing agricultural losses. This chapter explores artificial intelligence-based plant disease detection using image processing and deep learning. It introduces major plant diseases and the fundamentals of image processing before examining deep learning approaches for identifying disease symptoms from plant images. AI models can automate disease recognition and support timely interventions in smart agricultural systems. The chapter presents a proposed methodology and discusses results and analysis, practical applications and limitations. It also considers challenges associated with data quality, environmental conditions and model performance, followed by future directions for developing more accurate, scalable and intelligent plant disease diagnostic systems

Metabolomic research depends on analytical technologies capable of detecting and characterizing large numbers of chemically diverse metabolites. This chapter introduces the principal analytical platforms used for metabolite analysis, with emphasis on mass spectrometry and nuclear magnetic resonance spectroscopy. Gas chromatography–mass spectrometry, liquid chromatography–mass spectrometry, capillary electrophoresis–mass spectrometry, and NMR are examined in relation to metabolite separation, identification, and quantification. The chapter also considers sample preparation, analytical workflows, advantages and limitations of different platforms, and complementary approaches for achieving broader metabolome coverage. These techniques provide the analytical foundation for metabolic profiling, biomarker discovery, pathway analysis, and systems-level biological investigations.

The use of sampling in making decisions about an aggregate (or population) is possibly as old as civilization itself. Sampling is first broadly classified into two categories known as subjective and objective. Any type of sampling which depends upon the personal judgement or discretion of the sampler himself, is called subjective sampling. But the sampling method which is governed by a sampling rule or is independent of the sampler’s own judgement is known as objective sampling. The main difficulty with subjective sampling is that the sampler is ignorant of the degree of representativeness of his sample or the accuracy of the final estimates of the population values obtained.

Objective sampling is further subdivided as non-probabilistic, probabilistic and mixed. In non-probabilistic objective sampling, there is a fixed sampling rule but there is no selection probability attached to the sampling unit e.g. selection of every 10th individual from a list, starting with the first, or selecting every 10th line in a paddy field. If however, the selection of the first individual is made in such a manner that each of the first 10 gets an equal chance of being selected, it becomes a case of mixed sampling, partly probabilistic and partly non-probabilistic). On the other hand, if for each individual unit there is a definite pre-assigned probability of being selected, the sampling is said to be probabilistic sampling.

3.1 Introduction
Out of all methods of sampling, the most commonly used procedure in surveys is the stratified random sampling. When population units are of heterogeneous nature and if we select a sample using SRSWOR scheme then the sample selected may not be the representative sample and the estimate worked out from that sample will not be the reliable estimate of the population parameter. The estimate of sampling variance of the sample estimator obtained from that sampling scheme may happen to be very high leading to get a less precise estimate of the parameter. In such type of population, to overcome these draw backs, we use another sampling scheme known as stratified random sampling which is defined as follows.

8.1 Introduction
We have already discussed in details how different sampling schemes can be employed to draw the representative samples suitable to many kinds of population whose sampling units differ in nature. From practical view points, however, it is often more important to be able to make decision about certain unknown characteristics of the population on the basis of informations available in the representative samples which are drawn from the parent populations. Such decisions taken, are known as the “Statistical decisions”. For example, we may wish to decide on the basis of sample data whether (i) One educational system is better than the other or not, (ii) A given six faced die is unbiased (balanced) or not, (iii) A new insecticide is really effective to control the attack of insects or not? etc. Such problems are dealt with in the theory of statistical decisions which uses the principles of sampling theory.