eChapters

Additive manufacturing is increasingly important for developing resource-efficient and customized products while reducing material waste associated with conventional manufacturing. This chapter examines the role of additive manufacturing in supporting green and sustainable production systems. It covers environmental benefits, economic and operational advantages, additive manufacturing technologies, sustainable applications, life-cycle assessment, environmental impact analysis, challenges, and design strategies. Industry trends, case studies, sustainability standards, and future research directions are also considered. In the context of green composites, additive manufacturing can support flexible fabrication and potentially improve material utilization and product customization. The chapter emphasizes the need to evaluate manufacturing technologies across their complete environmental and economic life cycle.

Global agricultural research, an essential field in ensuring food security and sustainable development, is heavily influenced by the academic and publishing ecosystems in Europe and North America. This chapter examines the challenges faced by researchers from developing regions, focusing on limited representation in editorial boards, barriers to accessing high-impact journals, and the overarching dominance of Western institutions (Fig. 9.1).
These issues underscore the need for greater inclusivity and recognition of regional expertise to foster a more equitable global research landscape.
9.1. Dominance of Europe and North America in Agricultural Research
Publishing
The dominance of Europe and North America in agricultural research publishing is evident from the distribution of international journals in agriculture and allied disciplines. Approximately 75% of these journals originate from these regions. Breaking this down further:
• Europe accounts for 43.6% of international journals, with leading contributors including the United Kingdom (14.1%), the Netherlands (8.5%), Germany (6.2%), France (4.3%), Italy (3.5%), and other European countries (7.0%).
• North America contributes 31.4%, with the United States alone publishing 28.5% and Canada accounting for 2.9%.

CALIBRATION OF SEED DRILL
Calibration of a seed drill refers to the process of testing the seed drill to ensure it delivers the correct seed rate. Before using the seed drill in the field, calibration is essential to achieve the desired seed rate. This procedure is done to ensure that the machine delivers the predetermined seed rate accurately. The following steps are followed for the calibration of a seed drill.
Procedure for Calibration of a Seed Drill
• Determine the nominal width (W) of seed drill .
W = M x S,
Where, M = Number of furrow openers
S = Spacing between the openers, m
• Find the length of the strip (L) having nominal width (W) necessary to cover 1/25 ha (1 /25 x 10000 m2).
L = 400/W meter
• Determine the number of revolutions (N) of the ground wheel of the seed drill
required to cover the length of the strip (L).
L = P x D x N = 400/W
N = 400/P x D x W revolutions per minute
• Jack the seed drill so that the ground wheels turn freely. Make a mark on the drive wheel and a corresponding mark at a convenient place on the body of the drill to help in counting the revolutions of the ground wheel.
• Fill the selected seed in the seed hopper. Place a container under each boot for collecting the seeds dropped from the hopper.

Effectiveness of spray mixtures can be increased by addition of adjuvants. Weed Science Society of America (WSSA1994) have defined adjuvant as a material in a herbicide formulation or added to the spray tank to modify herbicidal activity or application characteristics. Adjuvants enhance activity of a herbicide in different ways viz., wetting, spreading, deposit building, emulsifying or deflocculating the active ingredient. In many cases cost of adjuvant will be less than that of active ingredient. In such cases it helps to reduce the cost of the final product.

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

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

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

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

8.1. Ecological Soundness

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

i. Soil Health

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

1. Introduction

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

Sustainable agriculture requires sincere attempt by the farmers to be sustainable in their approach. The practices are neither new nor difficult. But the minds of the farmers are so much inclined to inorganic farming that it is not so easy to divert their minds for sustainable agriculture.

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

Organic compounds tend to interact with clay minerals by:

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

6.1 INTRODUCTION

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

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

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

14.1 Introduction

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

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

Introduction

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

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

Introduction

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

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

6.1 INTRODUCTION

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

6.2 NETWORK ANALYSIS

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

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

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

ABSTRACT

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