eBook Chapters

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.

The whole genome sequencing helps the researcher to identify the desired gene and make it useful for the breeding program by transferring that particular gene into improved cultivar. Since, the whole genome sequence is not available for all crops and animals; there is a need of advanced techniques to overcome this problem. One such technique is TILLING (Targeting Induced Local Lesions IN Genomes) and its related technique called Eco-TILLING. TILLING is a reverse genetic approach used to identify the point mutation created by chemical mutagen in the mutagenized population. The chemical mutagen is most widely used and it will create allelic series of mutations which include nonsense, missense, or splice site mutation. The individuals with mutation were pooled by two-dimensional or three-dimensional pooling techniques. These mutations were identified by the formation of heteroduplex complex in the mutated region of the gene. Then, the heteroduplex is cleaved by S1 nuclease family enzyme and were examined in gel electrophoresis which distinguishes heteroduplex from homoduplexes. Now, the identified mutants in gel electrophoresis were subjected to sequencing for confirmation. Eco TILLING is similar to the TILLING except for the mutant population, as we use the natural mutant population in Eco-TILLING; whereas in TILLING we use the artificial mutant population and also pooling is done with reference sample in Eco-TILLING. The advantage of TILLING is that it is a cost-effective, rapid screening of mutant population and a nontransgenic approach as it does not require biosafety measures.

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.

Advances in technology are revolutionizing the detection of metabolic diseases in animals, making diagnostics more precise, rapid, and non-invasive. From wearable sensors and metabolomics to AI and nanotechnology, these tools are enhancing animal health and productivity. As these technologies become more accessible, they promise to transform veterinary medicine and animal husbandry, ensuring early detection, effective management, and improved outcomes for animals.
Sensor-based technologies have emerged as a game-changer in the detection and management of metabolic diseases in dairy animals. These tools provide continuous monitoring, early detection, and real-time insights, enabling better health management and increased productivity. This chapter explores the most promising sensor-based technologies used for diagnosing metabolic diseases in dairy animals, their applications, and the future of sensor-driven animal health management.
Metabolic diseases like ketosis, milk fever (hypocalcemia), acidosis, and displaced abomasum significantly impact dairy productivity and animal welfare. Early detection is critical for reducing treatment costs, improvingrecovery rates, and minimizing production losses. Traditional diagnostic methods are accurate and often invasive, time-consuming, and not feasible for large-scale monitoring. Therefore, sensor-based technologies offer a solution by enabling continuous and non-invasive monitoring of physiological and biochemical parameters.

9.1 Magnetic seed separator

These machines use a magnetic force to separate damaged seeds or other particles from the good seeds. This is used to solve special problems in seed lots that can not be taken out with our other basic seed cleaning equipment. Most of the time it is used for vegetable and field seeds that have problems in seed damage (fish mouth in cucumber or melon seeds / cracked radish or cabbage seeds), insect damage (beetle holes in cotton seeds) or contamination with soil or plant parts (white plant parts in onion seed) etc.

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.

Renal failure is one of the most commonly presented conditions in veterinary clinics world over. Although the potential for recovery is favorable, most animals die due to multisystemic effects induced by azotemia. Hence, extracorporeal removal of endogenous and exogenous toxins is very essential for expanding the window of recovery. Hemodialysis has been used in treatment of veterinary patients for the last 50 years and is still one of the most expensive and technically demanding treatment modalities in veterinary medicine. It is an advanced extracorporeal renal replacement therapy which has recently transitioned from a clinical curiosity to a more advanced standard for management of acute kidney injury (AKI) and chronic kidney disease (CKD) in companion animals particularly dogs and cats.

In addition to eliminating selective toxins that cause AKI, regardless of renal function, hemodialysis is also effective in the removal of pharmacokinetically active soluble uremic substances in CKD to enhance life expectancy and quality of life (Singh, 2021). Other common indications of hemodialysis in veterinary medicine include fluid overload, dysregulated body fluid composition, drug overdose or intoxications (Foster, 2020; Singh et al?, 2024). Medical management alone is often insufficient to control the clinical signs and metabolic abnormalities associated with uremia when AKI is severe or when there is involvement of acute on chronic kidney disease. Consequently, animals are at risk of death within a short therapeutic window, despite the potential reversibility of AKI and the improvement of life expectancy in CKD.

Aquaculture or farming and husbandry of aquatic organisms and plants is the future for increasing aquatic food production. It is the fastest growing food production sector with an annual average growth of >6% in the last two decades. It increased from <1 million tonne in 1950 to 70.2 million tonnes in 2013. An update of aquaculture production (FAO) revealed that the total world aquaculture production continued to grow in 2013, reaching 97.2 million tonnes (live weight) with an estimated value of US$157 billion. A total of 575 aquatic species and species groups are grown in freshwater, seawater and brackish water have been registered in the FAO Global Aquaculture Production Statistics Database. The production of farmed food fish (finfish, crustaceans, molluscs and other aquatic animals) was 70.2 million tonnes in 2013, up by 5.6 % from 66.5 million tonnes in 2012. The production of 27 million tonnes of farmed aquatic plants was a 13.4% jump on the 23.8 million tonnes of 2012. The contribution of aquaculture to the world total fish production reached 43.1%, up from 42.1% in 2012. It was only 30.6% a decade ago in 2003. Meanwhile, world production of aquatic plants, mostly seaweeds, is still overwhelmingly dominated by aquaculture (95.5% in 2013). On a global scale, the production of major non-fed species contributed 30.7% to world food fish aquaculture production in 2013, including 13.9 million tonnes of bivalves and 7.7 million tonnes of filter-feeding carps.

Mariculture involves the cultivation of marine organisms for food and other products in an enclosed section of the sea (cages/pens), or in tanks, recirculating systems, ponds or raceways in seawater..It is a promising sector by which the additional marine fish requirement can be met in the future years. It is also the fastest growing sub-sector of aquaculture. At global level, mariculture produces many high valued finfishes, crustaceans and molluscs viz. oysters, mussels, clams, cockles and scallops. In 2013 mariculture has contributed around 25.5 million tonnes of foodfish globally which formed about 36.3 %of the foodfish aquaculture production(World food fish aquaculture production was 70.2 million tonnes in 2013). Molluscs dominated the global mariculture production (59.7%) followed by finfish (22.7%), crustaceans (16.2%) and others (1.4%). In addition about 26.9 million tonnes of macro algae were also produced by mariculture. The total mariculture production including seaweeds was 52.4 million tonnes in 2013 which constituted 53.9% of the total aquaculture production (The total global aquaculture production including the aquatic plants was 97.2 million tonnes in 2013).

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.

In the Indian aquaculture sector, the rising frequency of disease outbreaks caused by bacterial, viral, fungal, and parasitic pathogens has necessitated the adoption of advanced molecular diagnostic techniques. Traditional methods, though useful, often lack the sensitivity required for detecting low pathogen loads or distinguishing between closely related strains. To address these limitations, molecular diagnostics have become integral to enhancing fish health management across diverse aquaculture environments—freshwater, brackishwater, and marine systems.
Among these tools, Polymerase Chain Reaction (PCR) is one of the most widely adopted techniques. PCR is both highly sensitive and specific, capable of detecting trace amounts of pathogen DNA or RNA from biological samples such as tissues, mucus, blood, and even environmental matrices like water and sediment. Organizations like ICAR-CIBA, ICAR-CIFA, and various state fisheries universities routinely employ PCR and quantitative real-time PCR (qPCR) to detect viral infections including White Spot Syndrome Virus (WSSV) in shrimp, Koi Herpesvirus (KHV) in ornamental fish, and Nodavirus in marine finfish like groupers and sea bass.

Abstract
Fish, a vital source of nutrition globally, faces challenges in maintaining microbiological safety and sensory quality due to its perishable nature. While effective in microbial reduction, traditional thermal processing methods often compromise fish’s nutritional and sensory attributes. In response, non-thermal technologies such as High Pressure Processing (HPP), Ultrasound (US), Ozone, and Pulsed Light (PL) have emerged as promising alternatives. These technologies offer effective microbial control while preserving the sensory and nutritional integrity of fish products. Ultrasound processing, has shown efficacy in microbial inactivation and quality enhancement without significant thermal impact. Studies on oily and white fish varieties demonstrate its capability to reduce microbial load while enhancing specific sensory attributes. In the same way, Ozone, which is known for its durable oxidative qualities, is useful in eliminating a wide range of bacteria on fish surfaces, although it must be taken into account when considering penetration depth and any sensory effects. Pulsed Light (PL) has shown quick microbial inactivation on fish surfaces and packaging materials by using high-intensity, short-duration pulses over a wide spectrum. High Pressure Processing (HPP) has become a reliable technique for increasing shelf life and guaranteeing microbiological safety in a variety of fish species. It works at moderate temperatures and high pressures. This chapter reviews the principles, applications, strengths, and limitations of these advanced non-thermal techniques in fish processing. It highlights their
potential to revolutionize the industry by meeting consumer demands for safe, high-quality fish products while overcoming the drawbacks associated with conventional thermal methods.
Keywords: Fish processing, Non-thermal techniques, Ultrasound, Ozone, Pulsed light, High pressure processing

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.

Advanced storage methods of agricultural crops play a pivotal role in mitigating post-harvest losses, ensuring food security, and enhancing the economic viability of farming. These methods encompass a range of innovative techniques and technologies designed to prolong the shelf life of crops, maintain quality, and reduce spoilage. From controlled atmosphere storage and modified atmosphere packaging to cold storage facilities and hermetic storage bags, advanced storage methods offer diverse solutions tailored to different crops and environments. This chapter explores the key principles and benefits of advanced storage methods, highlights notable technologies and approaches, and underscores their significance in addressing the challenges of post-harvest management in agriculture.

Introduction Plant disease detection is a crucial aspect of modern agriculture, as it allows early identification and management of diseases, minimizing crop losses and maximizing yields. In recent years, advancements in technology have led to the development of more sophisticated techniques for plant disease detection. Point-of-care (POC) diagnostic assay for plant disease detection is a rapid, advanced, and on-site testing method designed to identify the presence of pathogens or diseases in plants. This type of diagnostic tool is particularly valuable for farmers, agronomists, and researchers who need immediate results to make timely decisions about disease management and crop protection strategies.

As video editing continues to evolve, so do the techniques and software that enable editors to create polished, captivating visuals. Advanced editing techniques like precision cutting, mixing, and using sophisticated software tools allow editors to enhance storytelling, manipulate pace, and shape the emotional experience of their audience. This chapter dives into these advanced techniques, exploring how each tool and method contributes to a compelling final product.
1. The Art of Cutting: Techniques for Seamless Storytelling
Cutting is a fundamental editing skill that determines the pacing, continuity, and flow of a video. Advanced cutting techniques, such as L-cuts, J-cuts, and match cuts, serve as the foundation for creating dynamic narratives.
• Types of Cuts
• L-Cut and J-Cut: L-cuts and J-cuts are used to transition between audio and video in ways that flow more naturally and create smoother  continuity between scenes. These are essential techniques for dialogue-driven scenes or scenes that require seamless transitions between different locations or times.

Electrophoresis

The mobility of ions in an electric field is the basis for the separation method known as electrophoresis. Ions that are negatively charged move toward a positive electrode, while those that are positively charged move toward a negative electrode. Usually, one electrode is biased either positively or negatively, and the other is at the ground for safety reasons. Ions can be distinguished from one another based on their size, shape, and overall charge, which determine their migration rates.

Poly Acrylamide Gel Electrophoresis (PAGE)

Introduction

Electrophoresis is an electrochemical process in which substances with a net electric charge migrate under the influence of an electric current. This migration occurs in an agar gel or a liquid- filled buffered matrix such as cellulose acetate. Positively charged substances travel toward the cathode (negative electrode), while negatively charged substances go toward the anode (positive electrode). Different substances move at different rates depending on their charge. This movement is called electrophoretic mobility.

Proteins are charged molecules. They have a positive as well as a negative charge. Among proteins, particularly caseins, they have different contents. The charge density also varies depending on the molecular weight. Proteins have a net negative charge at a pH above 4.6, and hence they move towards the anode (positive electrode) when subjected to an electric field under alkaline conditions. Due to differences in the charge of individual protein fractions, their migration rates also differ and are hence separated into distinct bands. These bands are stained with the dye amido- black, destained with 7% acetic acid, and observed for the electrophoretic pattern.

The advent of advanced technologies and methodologies has revolutionized the field of crop disease forecasting, enabling researchers and practitioners to develop more accurate, reliable, and efficient forecasting systems. Conventional methods of disease forecasting, such as weather-based forecasting and statistical modeling, have been widely used for predicting crop disease outbreaks. However, these methods have several limitations, including reliance on historical weather data, limited spatial and temporal resolution, and lack of mechanistic understanding of disease development. In recent years, advanced methods of crop disease forecasting have emerged, leveraging cutting-edge technologies and methodologies to improve the accuracy, reliability, and efficiency of disease forecasting systems. These advanced methods include machine learning algorithms, artificial neural networks, geographic information systems (GIS), remote sensing technologies, and precision agriculture techniques. These methods have been shown to be highly effective in predicting crop disease outbreaks, and have the potential to revolutionize the field of crop disease management. Machine learning algorithms, for example, can be trained on large datasets of weather, crop, and disease data to identify complex patterns and relationships that may not be apparent through conventional statistical analysis. Artificial neural networks can be used to develop predictive models that can learn from experience and adapt to changing conditions. GIS and remote sensing technologies can be used to analyze and integrate spatial data on weather, crop, and disease patterns, enabling researchers and practitioners to identify areas of high disease risk and target interventions more effectively. Precision agriculture techniques, such as precision irrigation and fertilization, can be used to optimize crop growth and reduce disease susceptibility. These advanced methods of crop disease forecasting have the potential to transform the field of crop disease management, enabling researchers and practitioners to develop more effective and efficient disease management strategies. This chapter will provide an overview of these advanced methods, highlighting their potential applications and benefits in crop disease forecasting.
11.1 Remote Sensing Technology
Crop disease forecasting using remote sensing involves the use of satellite or aerial imagery to detect and predict crop disease outbreaks. The principles

Biofuel crops play a crucial role in the global transition towards renewable energy. With increasing concerns about climate change and energy security, biofuels have emerged as a viable alternative to fossil fuels. However, their economic viability is influenced by various factors, including production costs, market demand, government policies, and environmental implications. The United States has been the most prominent fuel ethanol producer since 2007, followed by Brazil. Together the United States and Brazil account for 84% of the global ethanol production. European Union, China and Canada are the other leading fuel ethanol producers. Fuel ethanol production and consumption continue to rise, regardless of variations in crude oil prices. The United States is the largest producer, generating 60 billion liters primarily from corn, while Brazil follows with 33 billion liters, mainly derived from sugarcane (https://www.statista.com.) Ethanol production in India started in 1938 with recommendations to convert molasses into alcohol, eventually resulting in the enactment of the Power Alcohol Act in 1948. The Ethanol Blending Programme (EBP), introduced in 2003, mandated a 5% ethanol blend (E5). However, due to supply shortages in 2004-2005, the blending requirement was made optional. In the 2013-14 period, a total of 38 crore liters of ethanol was procured for blending with petrol. This amount significantly increased to 567 crore liters in the Ethanol Supply Year (ESY) 2022-23, achieving an ethanol blend level of E11.7. Acknowledging the substantial progress in the ethanol fuel blending initiative for a greener transition and Atmanirbhar Bharat, the government revised the target to E20 by 2025–26 and set an E30 goal for 2030 (NAAS, 2024). The proposed share of E20 is from sugarcane-based ethanol 10%, maize 7% and other damaged food grains 3.0%. The recently reported data during Jan 2025 showed the achievement of 19.6% blending in petrol (PIB, GOI, 2025)

The income of farmers is declining day by day due to increasing cost of inputs including wages of farm labor. The net income can only be increased by reducing cost of inputs and by increasing yield of currently adopted cropping systems. The income of farm can be increased by growing horticultural crops (vegetables, flowers, fruits etc.) as well as medicinal, aromatic or spice crops. However, these crops cannot be grown on large scale due to their market problems and involvement of high labor. So, in order to improve profit from ongoing cropping systems, some latest crop production practices are being discussed in this chapter.

9.1 Introduction
In continuation to a comprehensive presentation of the fusion welding techniques in Chapters 5, 6, 7 and 8, this chapter presents advanced welding/ joining techniques, which are as listed below.
i. Cold metal transfer
ii. Wire arc additive manufacturing (WAAM)
iii. Thermal spraying
iv. Thermit welding
v. Ultrasonic welding
vi. Friction welding
vii. Diffusion bonding
viii. Soldering
ix. Brazing
x. Adhesive bonding
9.2 Cold Metal Transfer
A subset of gas metal arc welding is called Cold Metal Transfer (CMT). When it detects a short circuit, it reduces the weld current and retracts the weld wire, which causes a drop-by-drop deposit of weld material. The cold metal transfer was designed for thin materials and necessitates tight weld parameter control. Cold Metal Transfer combines a cutting-edge wire feed technology with high-speed digital management to create a regulated manner of material deposition with little heat input. In order to achieve enough energy to melt a tip of filler wire as well as the base material, the wire feed rate and cycle arcing phase are regulated. The cold metal transfer process has two primary features, viz. the occurrence of a short circuit in a stable and controlled manner, and the point of short circuit with low current correlating to a low heat input

Abstract

Agriculture is the major sector for the livelihood of the billions of people worldwide. Increasing population and decreasing arable lands are the major concern for the fulfillment of the desired food production. After green revolution more production in the crop is obtained by worldwide. Several insects and pests are responsible for the inhibition of desired production in agriculture. Therefore, pesticides play a major role in the control of destructive insects and pests. After ban of organochlorine pesticides, organophosphorus pesticides has been used vigorously. Beside the effective pest management in agriculture, residual organophosphorus pesticides are more lethal for human and other living creature. Monitoring of these compounds is very much essential in the food and agricultural samples. Chromatographic techniques are well adopted techniques for the hundreds of residual pesticides. Introduction of various analyzers in chromatographic techniques improve the monitoring of the residual pesticides from different samples. Therefore, recent advancement in residual pesticides isolation and chromatographic techniques has been discussed in this book chapter.

Drying of the Spices

Drying is an important mode of preservation and it ensures microbial safety of the spices.The main purpose of drying is to increase the shelf storage and make the seasonal spices available round the year with minute losses of nutrients, flavor, taste and color (Maroulis, 2003). During drying, there is a continuous transfer of heat and mass due to the heat application which eventually leads to moisture removal from the product (Akpinar, 2006) (Hashim, 2014). Since, the sensory, nutritional and functional attributes of spices are partially or totally affected by the drying process, the adequate choice of drying technique becomes requisite. There exists a number of conventional drying methods including solar drying (El-sebaii, 2012), freeze drying (Ciurzy nska 2011), vacuum drying (Nadi, 2012), osmotic dehydration,hot air drying and fluidized bed drying (Onwude, 2016). However, these drying techniques lead to poor quality of the spices because of the longer duration of treatment and high amount of energy. To combat with the issues of poor quality, there has been a significant development of the novel techniques, which includes- microwave, ohmic, infrared, pulse electric field, radio- frequency, ultraviolet, ultrasound, supercritical and heat pump heating, in the drying of the agricultural crops. These novel techniques are found to produce higher quality products as compared to the conventional drying techniques (Moses J. N., 2014). The microwave and radio frequency heating technologies are developed in such a manner that they are capable of partial or complete removal of the conventional methods of heating/ drying (Onwude, 2016). The use of these novel techniques has gained a keen attention for the drying purpose of spices. Some of the researchers have also proved that combination of conventional and novel drying techniques leads to better product output.

1. Introduction
Medicinal organic chemistry is a branch of chemistry focused on the design, development, and synthesis of organic molecules that can be used as therapeutic agents. It connects biology, pharmacology, and organic chemistry and is essential to the process of finding and developing new drugs. Here are some foundational concepts in medicinal organic chemistry:
1.1. Drug Discovery and Design
Medicinal chemists aim to identify bioactive compounds that can interact with specific biological targets, such as proteins or enzymes, to produce a desired therapeutic effect. The discovery process often starts with lead compounds, which may be found in natural sources (e.g., plants, fungi) or through high-throughput screening of large chemical libraries. Drug discovery and design (Zhong et al., 2014; Patani et al., 1996; Lipinski C. A., 2004) are critical aspects of medicinal organic chemistry, focused on identifying and optimizing chemical compounds with potential therapeutic effects. This complex, multi-step process combines organic chemistry, biology, and pharmacology to create drugs that are both effective and safe for clinical use (Figure 1). Below is a summary of the primary phases: Fig. 1: Drug discovery and development stages from target identification to clinical trials
1.1.1. Target Identification and Validation
The first step in drug discovery is identifying a biological target (Schenone et al., 2013), often a protein, enzyme, or receptor associated with a specific disease. This target must be validated, meaning that it is confirmed as essential for the progression of the disease. For instance, the identification of enzymes that play a role in cancer cell growth can provide targets for anticancer drug development. The list of some targets and their therapeutic application are given in table 1.
1.1.2. Hit Identification and Lead Compound Discovery
After identifying a target, medicinal chemists seek “hit” compounds that show initial biological activity against it. High-throughput screening (HTS) methods are often used to test thousands of compounds from chemical libraries to find potential hits. These hits are then refined to identify “lead” compounds, which exhibit stronger or more specific activity.

Two cornerstone methodologies in genetics, forward genetics and reverse genetics, illuminate the intricate connection between gene sequences and their functions. Forward genetics traditionally entailed laborious steps, beginning with the observation of mutants and culminating in the identification of causal genetic alterations. While effective, this approach was time-consuming and limited in scalability. Recent innovations have revolutionized forward genetics with next-generation sequencing (NGS), genome-wide association studies (GWAS), CRISPR (clustered regularly interspaced short palindromic repeats)-based screens, and advanced computational techniques. These advancements deliver precision and efficiency, enabling researchers to explore gene function on an unprecedented scale. In contrast, reverse genetics initiates its journey armed with sequence data and harnesses the manipulation of genes to observe resultant phenotypic shifts. Traditional reverse genetics, though invaluable, faced challenges like limited precision and scalability. Cutting-edge approaches have transformed the landscape. Techniques such as prime editing, base editing, high-throughput functional genomics, single-cell genomics, and synthetic biology offer unparalleled precision and capacity. They empower scientists to scrutinize gene function at the single-cell level, conducting precise genome editing and large-scale functional genomics studies. These strides in forward and reverse genetics have charted new territories for genetic research.

Introduction
Fisheries and aquaculture are crucial for global food security, providing a significant portion of the world’s animal protein supply. With the rapid growth of the human population and the overfishing of natural fish stocks, it is more important than ever to increase aquaculture production sustainably. Advances in molecular cytogenetics are crucial for promoting sustainable growth and innovation in fisheries and aquaculture. These advancements offer deeper insights into the genetic factors that govern key traits like growth, reproduction, and environmental resilience, enabling aquaculture to address global food demands while safeguarding biodiversity and maintaining genetic
integrity. The integration of these techniques in fisheries and aquaculture has led to significant advancements in the genetic improvement of cultured species, disease management, and biodiversity conservation in recent years. Moreover, these scientific advancements offer innovative methods for effective disease control and the preservation of aquatic biodiversity, all of which contribute to aquaculture’s long-term viability and growth. Over the past two decades, fish karyotype studies have been combined with genome sequencing, revealing more remarkable genome plasticity and variability in fish compared to other vertebrates. Comparative fish genome analysis evaluates divergence rates and explores sex-determination genes and gene family evolution in teleosts. ,Currently, over 80 fish species have their genomes annotated in the Ensembl database (https: //www.ensembl.org/index.html, accessed on 6 April 2021), and around 150 are assembled to the chromosome level in the NCBI database (https://www.ncbi.nlm.nih.gov/genome/). However, the quality of many assembled genomes has been criticized for not meeting reference genome standards. Fish genome sequencing is expected to grow significantly by 2028 due to initiatives such as the Earth BioGenome Project. This chapter will explore the chronological development of cytogenetic techniques used in aquaculture and fisheries, emphasizing their role in improving quality, ensuring disease resistance, and promoting environmentally sustainable practices.

Field-ready pregnancy diagnostic tests are an important tool for improving reproductive performance in livestock. They help optimize breeding programs, resource allocation, and decision-making processes, leading to better economic outcomes and sustainable livestock production systems. Pregnancy diagnosis is an important tool for improving reproductive performance in livestock for several reasons:

1) Timely management: early and accurate pregnancy diagnosis allows farmers and livestock producers to make timely decisions about the management of pregnant and non-pregnant animals. This includes adjusting feeding regimes, providing appropriate veterinary care, and establishing breeding plans.

2) Optimized breeding programs: In livestock, controlling the timing of pregnancies is critical to maintaining a well-organized breeding program. With accurate pregnancy testing, farmers can identify non-pregnant animals and breed them back earlier, optimizing resource utilization and shortening the generation interval.

3) Resource allocation: early identification of non-pregnant animals helps avoid unnecessary allocation of resources such as feed and health care to animals that will not produce offspring in the current cycle. This efficient allocation of resources is essential to maintaining a cost effective production system.

4) Lower costs: unproductive animals consume resources without contributing to farm productivity. By quickly identifying non-pregnant animals, farmers can avoid the cost of keeping these animals during their non-productive period.

5) Genetic improvement: for livestock programs focused on genetic improvement, accurate pregnancy diagnosis is critical. It enables the selection and promotion of animals with desirable traits for breeding purposes, thus accelerating genetic progress.

INTRODUCTION

The aquaculture sector expands and environmental regulations become stricter, waste management has emerged as a significant responsibility for managers of aquaculture farms. Waste generated by aquaculture facilities usually comes in the form of either effluent or sludge. Effective management and disposal of wastewater in aquaculture are becoming progressively crucial due to the strict regulations concerning the discharge of waste into natural water systems. The worldwide expansion of aquaculture industries has led to a rise in adverse environmental effects due to the release of significant quantities of polluting effluents containing uneaten feed and fecal matter (Chávez Crooker and Obreque-Contreras, 2010) Efficient management of wastewater in aquaculture is crucial for fostering sustainable practices. A variety of innovative methods have been developed to treat aquaculture wastewater effectively. These encompass eco-sensitive systems such as aquaponics and integrated multi-trophic systems, along with biofilm technologies that exploit the mutual growth of algae and fungi to remove nutrients. Furthermore, the reuse of wastewater via oxidation ponds can both provide natural sustenance for fish and treat household sewage effectively. Technologies like constructed wetlands and recirculation systems have proven highly effective in removing nutrients and recycling water, thus aiding in sustainable aquaculture practices. Additionally, specialized continuous automatic treatment equipment has been devised specifically for aquaculture wastewater, ensuring efficient purification processes. Together, these diverse strategies collectively strive to address the challenges posed by nutrient pollution and resource depletion in managing aquaculture wastewater.

Introduction

Ber belongs to the family Rhamnaceae, which consists of about 45 genera and 950 species. Out of 950, the genus Ziziphus consists of about 80 species of evergreen and deciduous climbers, shrubs, and trees found in the old world tropics, subtropics, and warmer temperate regions. The fruits of almost all species are edible, and jujube (Z. jujuba Mill.) and ber (Z. mauritiana Lamk.) are cultivated commercially. Liu and Cheng (1995) believed that the Indo Malaysia region (South and South East Asia) is the center of both the evolution and distribution of the genus Ziziphus.

Ber is the most common fruit of arid and semi-arid parts of the world due to its hardy nature and wild adaptability to soil and climatic conditions. It survives and produces economically viable yield in the hyper-arid zone where most of the trees fail to grow due to lack of moisture, extreme temperature, and poor soil conditions. It performs well under saline and alkaline soil conditions. It can produce economically viable yield with moderately saline irrigation water. Ber can withstand extreme heat but is susceptible to frost. Furthermore, due to its deep root system and other xerophytic characteristics, it is extremely drought tolerant but requires adequate soil moisture during fruit development. While high atmospheric humidity is unsuitable for ber cultivation, low humidity during fruit development improves fruit quality.

Litchi (Litchi chinensis Sonn.), a subtropical perennial fruit tree, belongs to family Sapindaceae and is indigenous to China. Its cultivation spread to the neighbouring countries of the south-east Asian region and other countries. The fruit of litchi is small, heart-shaped, conical or spherical in shape and pinkish red to bright-red in colour, with varying colour intensity in different cultivars. The pulp of fruit is crispy and grape-like in texture, very succulent and aromatic and is generally characterized by a sweet, acid, juicy and soft taste. Because of these reasons, litchi is highly prized in its fresh form as well as in different processed formulations. The total litchi production is about 24,00,000 tonnes from the net cultivated are of about 8,00,000 ha. The main litchi-producing countries are China, India and Thailand, whereas it is commercially grown also in many other countries. Of the total world litchi production, China and India contribute about 90%. Although litchi plants are long-lived, even then new plantings of this fruit are being done regularly, ensuring the continuous growth of production at the global level. In India, where this fruit can be grown in off season also in the southern states of Karnataka, Tamil Nadu and Kerala, the litchi production is about 7,37,200 tonnes from an area of 99,170 ha (Chandrakala et al., 2023).
 

Introduction

• India is the second largest producer of fruits in the world after China

• India is rich in fruit diversity starting from tropical, subtropical to temperate region.

• Some of the fruits like Guava, pomegranate, lemon, mandarin etc., if left without any treatment, give several light harvests of the variable quantities and qualities from the various flowering flushes throughout the year.

• Some of the fruit crops bloom throughout the year without any resting period and produces two or three crops (bahar) in a year but yield and quality is not so good in all crop harvest. So, it is very essential to understand the flowering and fruiting behavior of crops and which bahar will give good crop with considering all the factors associated with a particular bahar.

7.1 What is crop regulation?

• Crop regulation means to force the tree for its rest and to produce blossom and fruits during any one of two or three flushes”

• Crops in which flowering is continuous throughout the year; economic yield cannot be achieved in any of the season.

• Therefore, by analyzing market demand flowering can be forced in particular one season, which gives the economic yield.

• Through various techniques like cultural practices and chemical treatments, trees are thrown to rest prior to flowering and then practices are done to trigger flowering.

• Thus, crop regulation is a method to regulate flowering by altering natural tendency of the tree by artificial means.

Reasons for serious concern for food security in developing countries are, increasing food demand for the rapidly growing population, decline in productivity in high productive areas due to ‘Green revolution’ fatigue, and increasing vulnerability of agriculture to potential climate change. Climate scientists predict that global warming will make arable land in many developing countries less productive or unusable. Of all the parameters, abiotic environmental stresses contribute significantly to reduction in potential yield (Flowers and Yeo, 1995). Abiotic stresses arise from extremes of climate. The stress factors especially drought and salinity negatively effect plant growth and development, salt stress being one of the most serious environmental factors limiting productivity of crop plants (Ashraf, 1999). Therefore, extensive research into plant salt tolerance was carried out, with the aim of improving resistance of crop plants. With a large majority of the world’s population relying on crops like barley, maize and rice to survive, crop salt tolerance is globally important.

Introduction

Farm mechanization is application of machine power to work on land, usually performed by animate and mechanical power. It is also defined as an economic application of engineering technology to increase the labour efficiency and productivity. However, it not only includes production, distribution and utilization of a variety of tools, machinery and equipment but also planting, harvesting and primary process. Mechanization has a major impact on demand and supply of farm labour, agricultural profitability and a change in rural dynamics.

Abstract

It is well known that drying is an important unit operation in food processing industries, essentially used to extend the shelf life but also in making innovative processed products such as snacks with desired functionalities. Although drying of food products is carried out traditionally using several methods, the quality and energy aspects have been major focus of food drying research in the last decade or two. This is achieved by modifying and/or optimizing the existing drying systems, improving pre and post processing of the product, combination of more than one dryer type or developing altogether a new drying technique. There several dryer types which can give extremely good product quality, however, cost-effectiveness can be a major issue. It is necessary to balance both good product quality and minimum energy usage in order to sustain highly competitive market. This lecture will provide an overview of conventional drying methods used for foods, followed by some advances in these conventional methods and a discussion on some new drying techniques developed in recent years that are either commercialized or have potential of industrial use.

The Indian food industry is poised for huge growth, increasing its contribution in world food trade every year. In India, food processing is gaining importance as now it is being considered as profit industry. The increased demand for processed food in the domestic market and Indian foods getting popularized in the global market has put food processing industry on high priority list by the entrepreneurs. Accounting for about 32 percent of the country’s total food market, the food processing industry is one of the largest industries in India and is ranked fifth in terms of production, consumption and export. The total food production in India is likely to double in the next ten years with the country’s domestic food market estimated to reach US$ 258 billion by 2015. The food industry in India has been attracting a lot of attention from foreign investors in the area of processing, development of infrastructure for storage and transportation and retail marketing and scenario is changing rapidly.

Introduction

Livestock is an important component of Indian agriculture contributing 28% of agricultural gross value added (GVA) of the country. Agriculture, as such, contributes 16.4% of country's GVA (Economic survey, 2017-18). Livestock as a source of income has seen a steady increase from 4% to 13% in a decade time (2002-2012). India, with 2.29% of the world land area, is maintaining about 10.71% of the world’s livestock population. The milk production in the country increased from 17 million tonnes in 1950-51 to 187.7 million tonnes in 2018-19. The feed and fodder play an essential role in the health and productivity of livestock. Even though India is the world largest milk producer with 21% of global production, the productivity (1700 kg/year) is far below the world average (2574 kg/year) (FAO STAT, 2018). One of the main responsible factors (50.2%) for this low productivity is the deficiency in feed and fodder. Although forage crops are the critical component of livestock-based farming system, the area under cultivated fodder is static to around 8.4 million ha (5.23%) since last two decades due to the competition of land use with other crops. Availability of the fodder determines the productivity and profitability of the livestock rearing because fodder and feeds constitute about 60% of the total cost of milk production, which can be lowered by enhancing the green fodder-based feeding system. The traditional grazing lands are gradually diminishing because of urbanization, expansion of the cultivable area, grazing pressure, industrialization etc. These factors coupled with stagnation of area under cultivated fodder resulted in a severe shortage of feed and fodder to the extent of 26% in dry crop residues, 35.6% in green fodder and 41% of concentrates (IGFRI, 2011). This gap in demand and supply may further rise due to consistent growth of livestock population at the rate of 1.23% in the coming years. The share of the in-milk population to total population has increased from 23% to 27% in the case of cattle and from 33.64 to 34.74% in buffaloes from 2012 to 2019. The year-on-year growth rate of milk is approximate 6%. Thus, to sustain this growth rate and for further expansion to meet the demands of the ever growing human population, livestock needs a sustainable supply of feed material. To reduce the demand and supply gap, the production and productivity of fodder crops need to be enhanced. The productivity of cultivated fodder crops is low, due to the least attention and allocation of minimal production resources and lack of dissemination of the production techniques to stakeholders involved in the forage resource development. The present chapter highlights the recent advances in the forage crop production technologies. The comprehensive compilation of information at one place provides the opportunity to get the holistic picture of forage production altogether.

Abstract

Fusion is a well known entity in various fields (e.g. medical imaging, weapon detection, flood monitoring etc.) that surmises information originating from several modalities. This chapter is an attempt to assort the various image fusion techniques available for human face recognition and to put a review of the advancements being made by the different researchers. The various types of fusion those have been used or may be used for face recognition have also been discussed here.

Nutrient use efficiency of crops is being improved through temporal and spatial management of the form and amount of nutrient inputs as being demonstrated by various agronomic practices. In addition, understanding of the genetic basis of nutrient efficiency would lead to the development of nutrient use efficient varieties thus reducing the application of nutrients. Earlier studies on genetics of nutrient use efficiency were limited as increasing productivity with heavy nutrient inputs was the main focus. But in the backdrop of environmental degradation due to the excessive nutrients and its impact in climate change, nutrient use efficiency in crops is need of the hour for sustainable and eco-friendly agriculture.

Introduction 
Fossils fuel resources are crucial for producing and distributing other goods, making them one of the most important global commodities. Fossil fuels account for more than 75% of total energy consumption in society. It is critical to recognize that the fossil energy problem and anthropogenic climate change problem are inextricably linked and must be addressed as two intertwined challenges requiring a comprehensive solution. The features of coal, oil and gas which are employed as fossil fuels for power generation, have different classification of characteristics (Shindell & Smith, 2019). Fossil fuels are natural fuels and derived from the decompositions, heating and pressurization, of buries phytoplankton (plants) and zooplankton (animals). Over time, these waste materials get decomposed to produce carbon rich deposits that are now used to create energy products (Holechek et al., 2022). They are essential for the synthesis of steel and polymers in addition to energy. Fossil fuels fall into three main categories: coal, oil, and natural gas (Singh et al., 2023). Biofuels are produced from plants and animals waste materials and considered as a renewable source of energy. The sources are key components to overcome the issues related to greenhouse gas emission. Due to rapid change in climatic conditions, demand of renewable energy sources has increased. There are some drawbacks for fossil fuels due to presence of high carbon footprints and environmental impacts. On the other way, biofuels offer two major benefits first they reduce carbon emissions and modify waste management method, the other paving the way for a sustainable future. The carbon neutrality of biofuels is among their most alluring features. Biofuels only release the carbon dioxide that plants consume during growth, as opposed to fossil fuels that release old, stored carbon into the atmosphere. They are an eco-friendly choice because of this balance(Jeswani et al., 2020). Bioethanol, biodiesel, and biogas are among the several types of biofuels(Esmaeili & Tamjidi, 2021). Bioethanol is used in transportation and produced by using crops like corn and sugarcane. Waste management and sustainable energy production are further enhanced by biogas after producing with the help of anaerobic digestion of organic waste and is a great source of energy for heating and power generation. We can take a comprehensive approach to sustainability, improving energy efficiency and lessening our environmental impact, by combining the production of biofuel with waste management and the use of organic fertilizers. Significance environmental benefits of biofuels include lower GHG emission, reduced dependency on the fossil fuels and better air quality. By diversifying energy sources and possibly stabilizing prices, they also lessen exposure to changes in the world's oil markets, which promotes energy security. Nonetheless, it is essential to evaluate the wider ramifications of biofuel production and make sure that its advantages exceed any potential disadvantages in order to completely match with sustainability goals(Jeswani et al., 2020).

Introduction
Crop breeding programmes are under increasing pressure for developing cultivars that possess the ability to adapt to diverse environments while maintaining higher quality and quantity, in response to the escalating worldwide demand for food. The primary goal of plant or crop breeding is to attain genetic enhancement, leading to the creation of new varieties that demonstrate higher yield and superior quality. Hence, the central aim of crop breeding initiatives is to develop novel cultivars that demonstrate improved resistance against fungal, bacterial, insect, or viral pathogens, alongside increased tolerance to abiotic stresses such as drought low temperature, salinity, dehydration, and heavy metal toxicity. Additionally these breeding efforts aim to improve quality attributes, including taste, size shape, colour, and cooking convenience (Lenaerts et al., 2019). The ability to anticipate emergent phenotypes resulting from genetic or environmental disruptions necessitates the utilization of methodologies capable of identifying metabolic pathways or canopy structures suitable for change. The insilico tools have the potential to guide breeding endeavours aimed at developing novel germplasm that exhibits robust adaptation to diverse environmental conditions. The precise simulation of organisms in a computational environment is a current and effective approach to enhance prediction abilities. Significant progress has been made in the field of predictive medicine through the implementation of community projects that utilize integrative, multi-scale modeling techniques. However, there are a lot of crop models that are just geographically and temporally restricted, which limits their ability to go beyond the data that is now available and, consequently, leads to insufficient forecasts regarding crop reactions in novel circumstances. The plant community has launched or continued a coordinated endeavour focused on the development of a virtual plant modelling through consolidative and multi-scale mapping, models and simulations (Marshall-Colon et al., 2017).

Climate-based/smart (digital) irrigation practices and its management, irrigation automation, sensors based irrigation, robotic application in irrigation and artificial intelligence
Climate-smart (digital) irrigation: Aims and Objectives
Climate-smart irrigation (CSI) is a vital part of climate-smart agriculture,
aiming to
• Boost the productivity of irrigated farming and farmer incomes while minimizing negative social, political, and environmental consequences.
• Bridge the gap between potential and actual crop yields across different climates.
• Enhance the resilience of irrigated farming and related supply chains to current and future climate change impacts and other risks.
• Adapt irrigated farming to climate change by capitalizing on new opportunities and mitigating adverse effects.
• Reduce greenhouse gas emissions per unit of food, fiber, or fuel produced in irrigated systems, from farm to market.
• Identify and prioritize ways to cut GHG emissions from irrigated systems at various stages, from water sourcing to post-harvest processes.
• Improve the environmental sustainability of irrigated farming and supply chains while safeguarding water access for communities, protecting vulnerable groups’ livelihoods, and preserving aquatic ecosystems.
• Improve the sustainability and reducing the GHG emissions of existing crop production systems.
Irrigation is key to stable agricultural production, especially in dry conditions. CSI aims to improve existing and new irrigation systems by incorporating climate-smart principles. While good irrigation infrastructure is essential, it’s not enough. Effective CSI also requires supportive policies, strong institutions, good water governance, secure land and water tenure, farmer knowledge, market access, and credit availability.

Introduction

Maize (Zea mays L.) is one of the most versatile promising crops having wider adaptability under diverse agro-climatic conditions. Worldwide, maize is known as “Queen of cereals” because it has the maximum genetic yield potential amongst the cereals. It is cultivated on nearly 197 million ha in about 170 countries having wider diversity of climate, soil, biodiversity and management practices that contributes 36% (1135 million tonnes) of the global grain production. The United States of America (U.S.A.) is the largest producer of maize contributes nearly 33% of the total production in the world and other important growing countries are China, Brazil, India, Argentina, Indonesia, Ukraine and Mexico (Table 1).

INTRoDUCTION

In developing countries, cereals and legumes are the principal source of daily energy and protein intake. The major economic loss caused by grain infesting insects in not always the actual material they consume, but also the amount contaminated by them and their excreta which makes food unfit for human consumption. Today million of tones of the food grains are damaged by the ravages of the pests that not only cause quantitative but also qualitative changes in food grains. Stored product insects depress the food value of a product, introduce pathogens, parasites or toxins or make it less palatable. Insect infestation in high in the tropics and may lead 100 per cent damage in severe cases.
 
In order to cope with the requirement of the increasing population and food problem, at present as well as for the decades to come, the world will have to raise agricultural production very substantially, both by increasing the production and by reducing losses on account of post harvest spoilage especially of cereals and legumes which are the primary sources of food for men kind. This is a major problems during agricultural production, food transfer and processing. Million tonnes of grain worth several hundred corers of rupees every years are either damaged or loss for want of knowledge of scientific methods of saving the foodgrains during storage. In India, post-harvest losses caused by the unscientific storage, rodents, insects, micro-organisms, moisture etc. account for about 10 per cent of total foodgrains (Anonymous, 1971). A world survey by F.A.O. indicated about 5 per cent loss of cereals, in storage annually (Herford, 1952).

Introduction

The various kinds of plants present on earth have been used over the millennia for human welfare in the promotion of health and as drugs and fragrance materials. About 80% of the world’s inhabitants rely mainly on herbal medicines for their primary health care, while medicinal plants continue to play an important role in the health care systems of the remaining 20%. The use of herbal medicine and medicinal plants in most developing countries, as a normative basis for the maintenance of good health, has been widely observed (UNESCO, 1996). According to WHO (1998), herbal medicines are finished, labelled medicinal products that contain as active ingredients, above ground or underground parts of plants or other plant materials, or combinations thereof, whether in the crude state or as plant preparations. The plant materials referred to above include juices, gums, resins, fatty oils, essential oils and any other substances of this nature. Herbal medicines may contain excipients in addition to the active ingredients (WHO, 1991). Remarkably, even today there is no real definition for this special group of plants that has been accompanying mankind throughout history. Most frequently, medicinal plants are defined as feral and/or cultivated plants that, based on tradition and literature records, can be directly or indirectly used for medical purposes. The basis of medicinal use is that these plants contain so called active ingredients (active principles or biologically active principles) that affect physiological (metabolic) processes of living organisms, including human beings.

The conception about aromatic plants is even less definite. The term aromatic indicates plants having an aroma; being fragrant or sweet-smelling, while the word aroma is supposed to imply also the taste of the material (aromatic herbs). Since, large number of plants possess both medicinal and aroma properties which leads to complexity and overlapping uses of active ingredients, making impossible to establish rigid categories or a practical classification for medicinal and aromatic plants. For example; Anise, dill, coriander, thyme, etc. are equally known as medicinal, spice and essential oil crops. Thus, frequently these plants are simply referred to as medicinal plants, disregarding their specific features. More recently, the term “Medicinal and Aromatic Plants” (MAPs) has been used in a slightly broader sense, distinguishing the fragrant (aromatic, ethereal) ingredients containing group of medicinal plants.

Introduction

It is already established that mathematical modeling aims to describe the different aspects of the real world, their interaction, and their dynamics through mathematics. It constitutes the third pillar of science and engineering, achieving the fulfillment of the two more traditional disciplines, which are theoretical analysis and experimentation. Nowadays, mathematical modeling has a key role also in aquaculture. The problem is the complex modeling other than counting. Modeling and reasoning with data of different kinds can get extremely complex. Data streams are common source of Big Data. Now the task is to collect, prepare, represent, model, reason, visualize and additional issues like usage, quality, context, streaming, scalability. A few publications are available on modeling of fisheries and aquaculture in Indian context with live examples of modeling (Roy, et al. 1998, 2002, Roy et al., 2002, Ghosh et al., 2017, Roy, et al., 2006, Roy et al., 2008, 2012). A book on exclusively with various types of model applicable in fisheries and aquaculture has been published (Roy et al., 2009). In all these earlier publications conventional statistical and econometrics techniques are applied. But today there is sea change in this field with the advancement of technologies like artificial intelligence, machine learning, and big data analytics. There are attempts to apply these cutting edge technologies aiming sustainable productivity through efficient management of resources. In the following sections an attempt has been made to present an overview of the advances in analytics along with a briefing on what was developed in the past, and what is available today. Before proceeding to the analytics, I am presenting the scenario of basic characteristics of data along with different types of data generated today with automation of aquaculture industry.

Understanding biology and genetics at molecular level has become very important for better understanding and manipulation of genome architecture and this creates new opportunities to streamline plant breeding. Breeding is simply defined as the selective mating of individuals of a population to isolate or combine desired morphological, physiological or genetic traits such as appearance, yield, and disease resistance. This is performed with the assistance of identifiable traits.

Molecular markers have contributed significantly in this respect and have been widely used in plant science in a number of ways, including genetic fingerprinting, diagnostics, identification of duplicates and selecting core collections, determination of genetic distances, genome analysis, identification of markers associated with desirable breeding traits which are useful in marker assisted breeding, genomics and development of transgenics. Use of these markers also significantly reduces breeding time and cycles required for crop improvement. This is reflected in the fact that complete molecular and genetic maps have now been constructed for at least 20 major crop species and many more have been characterized at less defined level and the genomes of a few model plant species were completely sequenced.

Introduction
Molecular systematics is a branch of systematics that uses molecular data, particularly DNA sequences, to understand the evolutionary relationships among organisms. It utilizes nucleic acid and amino acid sequence compositions to analyse the taxonomy, phylogeny, and biogeography of biological organisms. It offers a superior alternative to morphological systematics, which relies on physical traits. This approach has significant applications in taxonomic studies, disease diagnosis, biodiversity conservation, and industrial purposes. The integration of molecular biology and bioinformatics has significantly advanced the capabilities of molecular systematics, making it a powerful tool in both microbiological research and public health.

1. Introduction
Fish and fisheries remains to be an important sector for Indian economy providing food, nutrition as well as employment to a large share of the population. Initiating with a production of merely 7.7 lakh ton of fishes in 1951-52, the country was on its way of increasing the production steadily and has now attained the phenomenal success of producing 162.5 lakh ton during 2021-22. Of this total amount, 41.3 lakh ton has been obtained from marine fisheries and 121.2 lakh ton from inland resources (Anon, 2022). For the inland fisheries production, the contribution of fish culture sector was much lower than that from capture fisheries for several decades during the initial phases. However, the production of culture fisheries maintained a consistently increasing trend and has now surpassed in magnitude the production from capture fisheries sector (Fig.1). With the potential areas for fish culture being gradually used up for different purposes, maintaining such high production rates in coming days will be possible only through optimum management of various factors which govern the productivity of the ponds. Among such factors, one important aspect is nourishing the quality of pond soil and water.