eChapters

Abstract

Food lost during the production chain is referred to as postharvest loss. Reducing postharvest loss can effectively feed starving mouths while conserving resources and decreasing the pressure to produce more. There are five main areas where postharvest loss can be reduced – harvest, storage, transportation, processing, and retail. New approaches and technologies in each of these areas will increase the amount of food available for human consumption. The total loss due to poor post- harvest processing of agricultural products in India when valued in terms of monetary reflects a tremendous loss in the economy. Annual value of harvest and post-harvest losses of major agricultural produces at national level to be of the order of Rs. 92,651 Crore calculated using production data of 2012-13 at 2014 wholesale prices. Deficits in food items or financial loss should not have occurred if postharvest losses were reduced through proper processing and preservation from harvest to consumption. Both the government and private sector need to invest in research so as to improve and modernize post-harvest facilities for attaining more efficient market infrastructure and distribution channels. Research and extension activities have to be closely coordinated particularly in the public sector for the benefit of farmers, traders and consumers.

Introduction

For human beings, the three most important necessities for their survival are food, clothing and shelter. among all of these food is the top most priority. Food safety and Standards defines food into 8 categories (Nutraceutical, Heath Supplements/Dietary Supplements, Food for special medical Purpose, food for Special Dietary Use, Novel Food, and Functional food) in regulation, 2016. A growing trend of health products, concept of food as medicine, associated public interest and consumers demand leads to a progressive research interest in functional foods and nutraceuticals development. Abnormal lifestyle, food habits (consumption of junk food) and low physical activity creates an exponential growth in a number of chronic diseases; obesity, cardio-vascular syndromes, osteoporosis, arthritis and cancer (Das et al., 2012) among the developing and developed countries. While nutraceuticals and functional foods are becoming an alternative affordable system to reduce the risk of disease through prevention in spite of high tech therapies and costly medicines.

The current survey showed that worldwide revenue of functional foods is projected to increase from about 300 billion U.S. dollars in 2017 to over 440 billion dollars in 2022. Also according to the International Food Information Council (IFIC), health benefits achieved from functional food components may provide benefits far beyond than basic nutrition. Products like dietary supplements containing vitamins, functional foods such as sports drinks or products fortified with probiotic play a major role in the market rise (www.statista.com).Indian and Chinese traditional foods, recipes, spices and diversified ingredient market is well known around the world from centuries. Hence, a double-digit growth rate is also experienced in Asian nutraceutical and functional food market. Another reason for the growing trend in consuming functional foods is education and proper health awareness. Furthermore, people are more concern about the optimization of health-promoting capabilities in their diet using dietary supplement and fortified foods. While, food product based industries are marketing health supplements using scientific facts and the relationship between diet and health. Government, non-government organizations (NGOs) and web-based online information also play a key role in promoting and trending food based health products.

INTRODUCTION
Efficient management of record-keeping, inventory, finance, and human resources is crucial to the success of any agro-processing business. Proper recordkeeping ensures accurate documentation of transactions, operations, and adherence to legal and regulatory standards, promoting transparency and accountability. Effective inventory management is vital for maintaining appropriate stock levels of raw materials, work-in-progress, and finished products, which directly affect production efficiency, cost management, and product availability. In financial management, sound practices allow businesses to monitor cash flow, manage costs, evaluate profitability, and secure necessary capital for growth and day-to-day operations.
Moreover, human resource management plays a significant role in building a skilled, motivated workforce by ensuring proper staffing, providing employee training, and adhering to labor regulations. Collectively, these components are essential for the smooth functioning of an agro-processing business, contributing to enhanced operational efficiency, financial health, and sustained growth.
RECORD KEEPING FOR AGRO-PROCESSING
Record-keeping in agro-processing is a fundamental aspect of the food production and manufacturing sector. It ensures traceability, adherence to food safety regulations, operational efficiency, and transparency in converting raw materials into finished goods. Well-maintained records are crucial for managing quality control, inventory, and ensuring compliance with health and safety standards.
Key Areas and Types of Records Kept in Agro-Processing
Below are the key areas and types of records that should be kept in agroprocessing:

1.1. FYM compost

Decomposed mixture of dung and urine of farm animals along with litter and left over materials from roughages or fodder fed to the cattle.

Farmyard manure contains 0.5% N, 0.2% P₂O₅ and 0.5% K₂O.

Urine contains one per cent nitrogen and 1.35% potassium.

10 to 20 t/ha is applied, but more than 20 t/ha is applied to fodder grasses and vegetables like potato, tomato, sweet potato, carrot, radish, onion etc., respond well to the farmyard manure.

Crops like sugarcane, rice, oranges, banana, mango and coconut respond good to FYM.

16.1 Conservative Technology

Recycling technology being practiced by ancient times by the people who used for municipal industrial effluent. In India the people in rural area, they collected cow dung in a pit. They applied a layer of soil on the cow dung to composting. After three to four months period, they used as manure for the agricultural fields. In a household waste, they collected as organic waste from a kitchen, store a pit allow it for decompose for conversion of compost. People who are residing in house constructed in a plot, they used to generate industrial effluent in a pit and cultivate a kitchen garden like vegetable crops and banana trees etc. in ancient times, the amount organic waste is limited and self purification is taken in small amount of organic waste therefore no organic pollution occurs in rural India.

Educational content development traditionally requires substantial time and effort from teachers, instructional designers, and academic institutions. Generative AI is changing this process by enabling the rapid creation, adaptation, personalization, and transformation of learning materials. This chapter examines how GenAI can redesign educational content generation across different subjects, educational levels, and learner requirements. It explores automated lesson-plan generation, question-bank development, personalized learning materials, visual and interactive resources, simulations, and multimodal educational content. AI systems can generate explanations at different levels of complexity, create assessments aligned with learning outcomes, and adapt instructional materials to student performance. Such capabilities can support differentiated instruction, self-paced learning, and improved learner engagement while reducing repetitive preparation work for educators. The chapter also examines important challenges, including content accuracy, algorithmic bias, copyright, data privacy, academic integrity, and teacher readiness. Future possibilities include adaptive tutors, multimodal content generation, AI-supported curriculum design, and intelligent learning resources. Overall, the chapter emphasizes that GenAI should augment professional educational judgment rather than replace it.

ABSTRACT

Pests and diseases cause serious economic losses in yield and quality of many cultivated crops. Detection and assessment of their damage symptoms is very crucial to initiate timely control interventions. The conventional scouting technique adopted for assessment of pest and disease in field crops is very laborious and time consuming. Remote sensing may provide a better means to objectively quantify disease stress than visual methods and it can be used to repeatedly collect sample measurements non-destructively and non-invasively. In this paper we report the changes in the reflectance spectra due to pest and disease incidence in three crops viz., groundnut, castor and rice. Canopy reflectance measurements were made with a hand held multispectral radiometer (MSR 16-R, CropScan Inc) which records incoming radiation and light reflectance with up looking and down looking sensors, respectively in 16 pass bands. Data of percent reflectance at each pass band were processed subsequently using the calibration and correlation constants through a mini computer connected to the sensor. A total of 10 samples were selected for each level of pest/disease. At each sampling, six measurements were recorded and the resulting data were averaged. The reflectance spectra varied for different biotic stresses in the three test crops. Higher absorption in the NIR region between 760-1240 nm was observed for healthy plants compared to the diseased plants in all the three crops tested. The spectral signatures from severely defoliated (by semilooper pest) castor crop showed that the percent reflectance in the visible region between 560-710 nm was higher in the defoliated crop compared to healthy and reverse is true in the NIR region between 810-1100 nm. In case of rice, spectral reflectance in the region between 760-1100 nm could differentiate the healthy and brown plant hopper affected plants. Decrease in reflectance in this region was proportion to the number of hoppers per plant. This could be due to collapse of leaf tissues by hopper damage. The higher reflectance in the visible region (560-710 nm) was observed only when the damage is very severe (hopper burn). Different spectral indices viz., SR (simple ratio), NDVI (normalized difference vegetation index), NPCI (normalized total pigment to chlorophyll index), DWSI (disease water stress index) and WBI (water band index) were compared to distinguish healthy and diseased plants. NDVI was found useful in distinguishing semilooper damaged (defoliated) castor crop from healthy castor. All the indices tested were useful to differentiate the rice plants damaged by sap-sucking pest, BPH at different levels of infestation. Incase of groundnut, the differences in the spectral indices between different disease incidence levels were not significant. Results of the present study demonstrated that by comparing the reflectance spectra generated using ground based high-resolution radiometer, it is possible to distinguish healthy and pest/disease affected crops.

A refrigerant is heat transfer medium through which phase change occurs from liquid to vapour i.e. evaporation at low temperature and pressure in the evaporator and then the phase change occurs from gas to liquid i.e. condensation at high pressure and high temperature in the condenser. The cycle of phase change of refrigerant, continues in the refrigeration system.

Refrigeration mean cooling i.e. lower the temperature by artificial means. It is a process of attaining lower temperature of the space or product below the surrounding temperature. It further involves maintaining the lower temperature achieved.

Q. 1 Unit of refrigeration is:-
(A) Quintal    (B) Gram
(C) kg            (D) Ton

Introduction 
Crop-weather models are sophisticated constructs, meticulously designed to replicate the dynamic and intricate interplay among atmospheric conditions, complex soil processes, nuanced plant physiology, and the decisive influence of human management interventions. The agricultural system is a prime example of a highly interconnected and non-linear system, where changes in one component can ripple through and affect many others, often with time lags and feedback loops. To truly comprehend, effectively design, rigorously develop, and clearly communicate the inner workings of such multifaceted simulations, relying solely on dense textual descriptions or abstract mathematical equations can prove daunting and often insufficient. This is precisely where relationship diagrams emerge as indispensable tools. At their core, relationship diagrams are powerful visual representations that translate the abstract scientific concepts and mathematical formulations embedded within crop-weather models into intuitive graphical formats. They are essentially the architectural blueprints and flowcharts of these complex systems, allowing us to see, rather than just read, how various components of the agricultural ecosystem interact. Imagine trying to understand the intricate wiring of a skyscraper or the precise movements of a symphony orchestra purely from a written description; diagrams provide the essential visual mapping that brings clarity and coherence to complexity. These diagrams are not mere aesthetic additions; they are fundamentally required because of the inherent complexity and interdisciplinary nature of crop modeling. They bridge critical gaps: Bridging Disciplinary Gaps: Agricultural system modeling brings together experts from diverse fields – agronomists who understand plant responses, meteorologists who provide weather insights, soil scientists who grasp soil physics and chemistry, and computer scientists who implement the models.

ABSTRACT

Nowadays it is very important to evaluate research publications. They are evaluated by impact factors and citation indices. The research value of an author and journal is ascertained from several citation indices, from which it is known that what Impact of a research publication is in market. The h index is based on diagnostic importance or productivity so it confers a delegate index of scientific result. The h-index is used to measure of published work of a scientist or scholar as well as also assess the achievement of research groups. The present paper describe about the h-index. Specifically, it explains its origin, advantages, and disadvantages and how calculates individual’s h-index in different databases.

Keywords: Citation, Impact, H-Index, Research productivity, Scientific publications.

The Late Dr. APJ Abdul Kalam is described as a great patriot, visionary leader and the 11th President of India ( 2002 – 2007 ). The country would have celebrated his 84th birth day on 15th October 2015. To many like me, he was the most ideal role model that the youth of India needed, in recent time. He emerged as a complete human-being who touched the lives of people.

My first meeting with him was when he visited IPCL in eighties - as the DRDO Chief to discuss about Carbon Fiber and Composites. I was heading GSFC’s R&D Centre and other facilities like engineering plastic Nylon – 6 and their Composites and hence was invited to join the discussions. That interaction left a strong impression in my mind. Later when I became Vice Chancellor of Gujarat Agricultural University, I had many more opportunities to meet him and was often surprised at his deep rooted interest and knowledge in every sphere of Science & Technology. Subsequently, to my delight, I received an invitation from his office on the eve of 26th January evening - at home with the President and later was given more time for a one-to-one meeting the next day. Walking across the corridors of the Rashtrapathi Bhavan, the atmosphere looked rather formal and uneasy for me, but, as I was ushered into his room, I saw Dr. Kalam wearing his favourite blue shirt and smiling. He moved forward and greeted me with the same friendliness and warmth. As we started talking about Agriculture scenario, the work I was planning and the future prospects, I marveled at his understanding and insight and left the room truly inspired. 

"Where is your Dhoti, Dr. Mehta ?” Dr. Varghese Kurien surprised me as I entered his office at IRMA (Institute of Rural Management Anand). That was April 2000, soon after I had taken over as the Vice Chancellor of the erstwhile Gujarat Agricultural University (GAU) and had decided to call on him during my visit to the Anand Campus. (At that time GAU was the largest University in the Asia with four main campuses – Dantiwada, Anand, Junagadh and Navsari and about 65 experimental farms / stations spreaded all over).

Abstract

The Remote Sensing and the followed up field based investigations show that the Tamil Nadu coast, India, is facing series of geoenvironmental problems due to tectonic movements and morphodynamic processes. Such problems pose a challenge to the engineering geologists. The paper discusses such challenging engineering geological problems and plausible remedial measures.

Abstract

The ever increasing population in India and the world, impeding threats from the climate change scenario and the increasing demand for land resources from the industrial sector calls for improved resource efficiency. The production strategies are changing from input intensive to integrated resource management strategies. The shift is towards adopting the precision farming technologies like addressing the site specific variability and crop needs. Remote sensing technology coupled with GIS has been recognized as reliable tool in agriculture to guide application of fertilizer, pesticides and other farm inputs. With precision farming, technologies such as grid soil sampling, remote sensing, on- the-go sensing, and electronic yield monitoring help farmers gather very detailed information about the heterogeneous makeup of a farm field. Site specific applications means application of required input only where it is required rather than entire fields or adjusting application rates accordingly. This chapter discussed the input management based on the time of intervention - Input management prior to crop sowing, in season crop management and end of the season.

Keywords : Management zones, soil variability and Remote Sensing

Remote sensing and Geographic Information Systems provide spatial information for monitoring crops, land, soil and water resources. This chapter introduces their fundamental principles and explains developments involving satellites, UAVs, hyperspectral sensors, thermal imaging and cloud-based geospatial platforms. Analytical techniques include vegetation indices, time-series analysis, spatial modelling and artificial intelligence. Applications cover crop-health monitoring, yield forecasting, irrigation planning, drought assessment, pest and disease identification and soil-resource management. Integration with IoT, automation and other digital technologies improves the timeliness and resolution of agricultural information. These tools support evidence-based decisions responding to food-security, climate-change and natural-resource sustainability challenges.

Abstract

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

Abstract

Remote Sensing (RS) and Geographic Information System (GIS) have emerged as potential tools for competent planning and administration of water resources. In this study, a new methodology is proposed to delineate groundwater target zones using integrated RS, GIS and Analytical Hierarchy Process (AHP) method. The developed methodology is confirmed by a case study in Karur district of Tamil Nadu, Southern India. Seven thematic layers, viz., Lithology, Lineament Density, Geomorphology, Slope, Post– Monsoon Water Level, Drainage Density and Land use / Land cover were considered in this study. Selected seven thematic layers and their features were assigned suitable weights on the Saaty’s scale according to their virtual significance in groundwater incidence. The assigned weights of the thematic layers and their features were then normalized by using AHP. Finally, the selected seven thematic maps were incorporated by weighted linear combination method in a GIS environment to produce a groundwater target map.

ABSTRACT

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

Abstract

Remote sensing and Geographic Information System (GIS) are integrated system in providing precise information on nature, extent and spatial distribution of land resources to assess their potential and limitations for planning, monitoring and management towards sustainable development. The use of remote sensing and GIS provide immense opportunities in the field of large-scale mapping, generate and update of existing geographical databases for decision making in site- specific management and development of land resources. Integration of remote sensing and GIS includes the use of each technology to benefit the other, as well as the application of both the technologies for geospatial modelling and decision support. Remote sensing and GIS integration has clearly benefited from advances in computing and Global Positioning System (GPS) technologies, including innovations in use of decision tree algorithms and neural networks. The generated precise spatial database in GIS on land resources, socio-economic and contemporary technologies could be effectively used to develop GIS based Spatial Decision Support Systems (SDSS) for sustainable management of land resources. In this article an attempt has been made to provide an overview on the remote sensing and GIS technologies as a special decision support tools in inventory, characterization and management of land resources particularly in digital terrain analysis, geomorphological mapping, hydrological applications, soil resource inventory, assessment of soil loss, land degradation and soil fertility, soil-site suitability and watershed prioritization.

Abstract

Food security to the increasing population on one side and the increasing export of food grains on the other side has lead to the immediate attention on to raise the food production in our country. The decreasing land availability for agriculture due to the increased degraded lands and use of agricultural lands for non agricultural purposes has still worsened the situation. In order to match with the food requirement from decreasing agricultural lands, Indian agriculture has been pushed towards indiscriminate use of farm inputs exploiting the non renewable natural resources without any concern to the environmental ill effects leading to further degrading of the situation. Even though the concept of sustainability is age old, the importance is felt recently. Sustainable use of resources at farm level can magnify the effect of conserving non renewable resources and reducing ill effects on the environment at state level and to the country. Sustained farm production is a key to manage our resources and environment. Adoption of new information technologies with the conventional agronomic practices to increase farm production is made inevitable due to our past experience. The advancement in the technology tools like Remote Sensing, Geographic Information System, Global Positioning System and Decision Support Systems have paved way for better and effective management of crop production at farm level. 46 Geospatial Technologies for Natural Resources Management

A systematic approach of management involving advanced technologies and conventional agronomic practices through understanding the factors like soil variability, weather parameters and crops that contribute for the sustainable farm production is need of the hour. The spatial and temporal variability of the farm production parameters are to be studied and mapped in relation to historical data of the farm for successful site specific management. Site specific management tools may improve decisions related to site conditions, thereby reducing the aspect of uncertainty in the management system. This approach of farm management using advanced technologies viz., Remote Sensing, Geographic Information System, Global Positioning System, Variable rate technology, crop production modeling and Decision Support System can enable sustainable farm production with beneficial effect on the environment in future.

Keywords : Remote sensing, GIS, Sustainable Farm production, Site Specific Management

Abstract

The southern part of the Indian Peninsula has long been regarded as a stable area free from Pleistocene tectonics as it represents the Precambrian shield region. But the frequent earth tremors even up to a magnitude of 6.5 (Richter scale) which occurred in Tamil Nadu have started encouraging the geologists to think that it could possibly be a seismic prone zone. In addition, images acquired by the polar orbiting satellites offered valuable information on the fracture systems and fluvial anomalies suggesting possible Pleistocene tectonism in South India. Hence, a study has been undertaken to evaluate the signatures of Pleistocene tectonism in South India using IRS-lA, LISS-1 FCC imagery (Indian Remote Sensing Satellite lA, Linear Imaging Self Scanning 1, False Colour Composite) involving band 2, 3 and 4 under blue, green and red bands respectively.

The study has brought out a series of E-W trending cymatogenic arches and N-S trending extension, NE-SW trending sinistral, NW-SE trending dextral and E-W trending release fractures with characteristic signatures supporting Pleistocene tectonism in Tamil Nadu and Kerala.

On the basis of such morphotectonic features, a Pleistocene tectonic model has been presented with a N-S trending greatest principal stress and an E-W oriented least principal stress related to the movement of the Indian plate towards the Tibetan plate. Based on the model developed for Tamil Nadu and Kerala, a series of E-W trending cymatogenic arches and deeps have been proposed for Cochin- Rameswaram in the south to the Himalayas in the north. Further studies for seismotectonics, geothermal resources and hydrocarbon search have also been suggested along such arches and deeps.

Abstract

The art of remote sensing has opened up many vistas in the study of river migration as satellite photographs, both in their normal and digitally enhanced modes, vividly show the rivers and their migratory signatures. The rivers migrate for various reasons amongst which tectonic movement is one of the main causes. In the present study an attempt has been made to exhibit the palaeochannel network of the rivers of Western India and integrate them with lineament fabric, so as to understand the Quaternary tectonics of the region. The study has shown that Western India shows considerable signs of Quaternary tectonics.

Abstract

The art of remote sensing has opened up many vistas in the study of river migration as satellite photographs, both in their normal and digitally enhanced modes, vividly show the rivers and their migratory signatures. The rivers migrate for various reasons amongst which tectonic movement is one of the main causes. In the present study an attempt has been made to exhibit the palaeochannel network of the rivers of Western India and integrate them with lineament fabric, so as to understand the Quaternary tectonics of the region. The study has shown that Western India shows considerable signs of Quaternary tectonics.

Remote sensing involves measurement of the physical properties of a body without actual contact with it. It is based on the reflectance when the electromagnetic radiation is incident upon a body or surface. The spectral characteristics of the reflected radiation vary depending upon the nature and condition of the surface. In case of vegetation, it absorbs light and can reflect light in the visible range. The leaf pigments dominate the reflectance properties (Fig.9.1). The radiation bands within which the reflectance of electromagnetic radiation takes place are classified as follows-
Spectrum Wave Length (nm)
Visible 400-700
Near Infrared 701-1300
Middle infrared 1301-2500
Far infrared >3000

9.1. Vegetation Indices
The vegetation index is a mathematical expression that uses spectral imaging data to characterize the health and growth of the vegetation indices are calculated using data collected by remote sensors like Satellites. The vegetation indices have wide range of applications in agriculture and hydrology including
• Classification of vegetation
• Apex health of vegetation
• Changes in land cover
• Drought monitoring
• Estimation of soil moisture
• Evaluate crop growth, vigour, biomass and chlorophyll content
• Irrigation scheduling

Remotely gathered data are available from a range of sources and data collection techniques is often one type of tool that is not always found within the public domain easily. This is larger due to the fact that most of the data are acquired by equipment is expensive to build and maintain. However, there are many types of basic imagery, high-quality imageries are readily available widely at subsidized costs, particularly the purpose intented.

6.1 Introduction to Remote Sensing in Watershed Management

Remote sensing involves acquiring information about the Earth's surface without physical contact, using satellite or aerial imagery. This technology has revolutionized watershed management by providing detailed and timely data, crucial for effective planning and decision-making.

6.2 Remote Sensing Technologies and Techniques

Satellite Imagery

Satellite imagery involves capturing images of the Earth from space using satellites equipped with sensors. Some of the most notable satellite missions providing high-resolution imagery for large-scale environmental monitoring include Landsat, Sentinel, and MODIS.

a. Landsat: Operated by NASA and the US Geological Survey, Landsat satellites have been observing the Earth since 1972. Landsat provides medium-resolution images (15-60 meters per pixel) in both visible and infrared wavelengths, allowing for detailed monitoring of land use, vegetation health, and water bodies.

ABSTRACT

Leaf N and chlorophyll (Chl) concentration of crop are important indicators of plant nitrogen status. Laboratory determination of plant tissue N is time consuming and costly. Also remote sensing is quickly becoming recognized as a valuable tool that has the potential to asses a wide variety of physiological properties over a large area in a short amount of time. This study examined the relationship of sorghum and bajra canopy reflectance spectral response to its nitrogen and chlorophyll content. The study consisted of two nitrogen level (N₀ : no nitrogen and N₁: recommended dose of nitrogen for each crop) for two crops (sorghum and bajra) . Chlorophyll and N content were measured throughout the growing season for both crops. Reflectance at increased significantly as N fertilizer rate decreased. Chl and N were strongly related to canopy reflectance for either individual wavelength or for spectral vegetative indices or ratios. Sorghum nitrogen fertilizer rate mainly affected leaf reflectance at 575 and 623 nm, while bajra at 565 and 657nm. The reflectance values at 581 and 603 nm had the highest correlation with sorghum leaf N concentration. Similarly, bajra leaf N concentration was highly correlated with 619 and 696 nm. Sorghum and bajra leaf N concentrations were highly correlated with reflectance ratio of R₅₈₁/ R₃₈₁ (r²= 0.44*) and R₆₁₉/R₄₆₂ (r²= 0.78***) respectively with greatest r² value. Similarly, Sorghum and bajra leaf Chl concentrations were highly correlated with R677/R527 (r²= 0.63**) andR688/R409 (r²= 0.71***) or R615/R411 (r2=0.71***),

respectively. Thus our results suggest that spectral reflectance measurements hold promise for the assessment of some physiological parameter at the leaf level real time monitoring of sorghum and bajra N status and N fertilizer management.

Much has been talked about the mighty river systems and their migratory histories, since Purana and Vedic times. In Mahabharata the places where the Lord Krishna is said to have played with Gopis in the banks of River Yamuna are now forming flat lands many kilometers away from the present day Yamuna. In the same way, there is a mention in ancient literature about the ‘Indo-Brahm’ river which was originated from the Himalayas and flown through Brahmaputra valley, Indo-Gangetic plains, Rajasthan desert and met the Arabian Sea in Rann of Kutch. Such a mighty river is said to have fragmented into Brahmaputra, Ganges and the Indus rivers due to Tectonic activity in Himalayan regions. Similarly there are many evidences in the Tamil literature. For example in ‘Kalingathuparani’ it is mentioned that the river ‘Palar’ was flowing north of Kanchipuram but the same river is now flowing south of it.

All these facts show that the rivers have the tendency to frequently change their courses. The advent of modern Remote Sensing Technology has opened up new vistas in studying such migratory rhythms of the rivers, as such old and buried rivers exhibit spectacular ribbon like, linear, curvilinear and contorted features with typical darker tone in black and white images and reddish tone in false color composites (FCC) and other color coded images.

Remote sensing is emerged as an important application of science in all fields for collection of information from a far. This chapter describes the fundamental concepts of remote sensing, electromagnetic radiation (EMR), the interactions between EMR and earth surface features, satellites etc.

8.1 What is Remote Sensing?

Remote sensing is nothing but acquiring information about an object without touching the object itself. In other words, remote sensing is the acquisition of information about an object or phenomenon, without making physical contact with that object. In present era, the term generally refers to the use of aerial sensor technologies to detect and classify objects on the Earth by means of propagated signals. As remote sensing is obtaining information about objects without making physical contact with them, remote sensing can be described as ‘reconnaissance from a distance’, ‘teledetection’ or a form of the common phrase ‘look but don’t touch’.

The word ‘remote sensing’ was coined by Evelyn L. Pruitt, an American Geographer in 1960. Remote sensing is defined as collection and interpretation of information about a target without being in physical contact with it. Remote sensing is the science and art of obtaining information about an object, area or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area or phenomenon under investigation (Lillesand and Keifer, 1994).

The information needs a physical carrier to travel from the objects/events to the sensors through an intervening medium. Any force field such as gravity, magnetic or electromagnetic could be used for remote sensing. However, the electromagnetic radiation is conventionally used as an information carrier in remote sensing. Remotely sensed data may be gathered by different devices, including sensors, film cameras, digital cameras and video recorders. Instruments capable of measuring electromagnetic radiation are called sensors.

Remote sensing is nothing but opposite of astronomy. In astronomy, man looks from the earth to the sky to understand and gain more knowledge about the celestial objects. But remote sensing refers to going upward in the sky to look downwards to understand and gain more knowledge about terrestrial objects. In remote sensing, the aerial sensor technologies are used to detect and classify objects on earth by means of electromagnetic radiation.

In beginning of aerial photography, the photos were taken to evaluate existing topography, plan observation and sampling incursion. After World War II, the assessments of aerial photographic data were much more difficult, and real geological data started to be extracted. The use of stereoscopic pairs enabled geologist to explain height structural features. But, the basic use of remote sensing data were collected was in explanation. These trends of comparative photography until development took place into the satellite age when satellite imagery began popular and commercially available. The availability of various imageries in several combinations opened a option to analyze regions in much more detail. Apart from this, the multiple flying allowed a prospect to be viewed in various light during differnt seasons. The development drastically decreased the cost of regional exploration by minimizing repeated trips to a place for reassessing. This permitted data to be gathered from the tropics and arid regions that was previously difficult task in wide regional field exploration. As computer age progressed being developed and enhanced the value of data that allows imagery as digitally highlighted specific features. Ground features like differential cropping, drainage patterns, and folds/faults may be identified.

Remote sensing is a technology that enables us to acquire information about one object or phenomenon without making physical contact with the object. Generally, we are used to take observations in site or at the site. Development of remote sensing technology is now making it possible to quickly and almost simultaneously to collect information from the earth surface and other planets as well. Remote sensing is used to measure the thermal complexity and structural complexity of microclimates and how organisms respond to environmental changes. The thermal complexity is a result of the response and behaviour of different characteristics of the earth surface including vegetation, soils, structures, water bodies etc. Optical remote sensing makes use of visible, near infrared and short-wave infrared sensors to form images of the earth’s surface by detecting the solar radiation refl ected from targets on the ground. Different materials refl ect and absorb differently at different wavelengths. Thus, the targets can be differentiated by their spectral refl ectance signatures in the remotely sensed images (Fig.18.1). Satellite Refelcted Solar Radiation Forest Water Grass Bare Soil Paved Road Built-up Area Atmosphere Incident Solar Radiation Sun
Structural complexity is defi ned as minimum number of numerical specifi cations required to describe an object in physical space. Structural complexity is a key ecological factor that describes the three-dimensional physical structure of the ecosystem. It is often linked with biodiversity.

Introduction

We use our five senses to perceive the world around us. Some senses, like touch and taste, need contact with the objects. But we get most of our information about the environment through sight and hearing, which do not need close contact with the external objects. In scientific terms, we are doing remote- sensing all the time. Remote- sensing is the process of recording/observing/ perceiving (sensing) objects or events from a distance. Remote- sensing is a way of monitoring and detecting the features, usually physical, of a specific area by measuring its reflected and emitted radiation (usually from satellite or aircraft).

Nearly 70% of the world’s population will live in cities by the year 2050, and cities currently pump out 70% of greenhouse gas emissions. Buildings alone contribute nearly 40% of emissions. This is also true for Indian cities, which are responsible for 40% of the energy use, 30% of raw material use, and 20% of land use. The residential and commercial buildings account for 31 % of the electricity consumption and are rising at 10-12 % annually. As per estimates, approximately 75% of the building stock that India will see in the year 2047 is yet to be built. For all these issues, renewable energy is the major solution.

Abstract

Three-point bend test (three point bend ring-HDP/3PB) for five types (Good day, Butter bite, Marie, Krack Jack and Salted) of commercial biscuit brands (Britannia, Supreme, Parle, Lancer, Priya Gold and Dalmia) was developed using TA-XT2, texture analyzer and probable factors affecting the results were assessed. Maximum force to break the biscuits, number of fracture before break, thickness of biscuits and percent break point penetration were found in the range of 1006.5 to 3456.5g, up to 3, 4.2 to 6.3mm and 5.54 to 22.62%. The rupture of biscuits were observed on the basis of probe penetration into the biscuits and found that maximum resistance for penetration offered by Marie whereas minimum by salted biscuits, which was respectively the hard dough and fermented dough biscuit varieties. The analysis of variance for the results revealed that there is significant difference (P£0.01) in the maximum force of break for the biscuit types and brands individually or in combination. Difference in the thickness of biscuits was also found significant among types and commercial brands. The number of fractures was not consistent among the types as well as biscuit brands before reaching the maximum force of breaking the biscuit.

Many times, users have to work with raster datasets of different spatial and radiometric resolutions. So, there is requirement of bringing their resolutions to the same resolution in order to facilitate their processing. Resampling is the process of deriving pixel values from the existing image to the new raster image of different pixel size. Resampling is most common pre-processing step in remote sensing. It is done both at spatial and radiometric scale. At spatial scale, resampling is done either to increase the spatial resolution i.e. decrease pixel size known as Upsampling or to decrease the spatial resolution i.e. increase pixel size known as Downsampling. Radiometric resampling is performed to increase or decrease the radiometric resolution of the image. In R, resampling of raster image is performed by raster package. The details of the resampling methods and their respective R – code with examples are discussed in this chapter.

First of all, we need to import the raster image on which we wish to perform resampling operations by using following R – code. In R, resampling is feasible on one band only. So, we will import single band raster image.

Introduction

Animal husbandry has been an integral component of Indian agriculture since time immemorial. It is still continuing as one of the major avocations in India contributing nearly 4.9% to the national GDP and 28.4% of the agricultural GDP. Livestock population in the country as per Livestock Census 2019 is 535.78 million which is an increase of 4.6% over Livestock Census 2012 (BAHS, 2019; DAHD, 2019). Cattle, buffaloes, sheep and goats are the major livestock in the country. Today, India is the global leader in milk and milk products with a production of 187.7 million tonnes (MT) and the availability of 394 ml milk per capita per day. The per capita availability of milk has increased substantially during last four decades. The anticipated milk demand is expected to be 266.5 MT by 2030 based on per capita consumption of 468 ml/day (Table 1). It has been made possible with the active involvement of farming community and by creating awareness about high yielding breeds of livestock, improved rearing methods and milking, management of pests and diseases and most importantly, the feeding of the animal. The crop residue constitutes a major chunk of fodder to the livestock in many parts of the country. However due to their low nutritive values and poor palatability, it is not helping to realize the full milking potential of animals. A huge opportunity exists in livestock sector as there is a growing demand for animal products particularly milk and meat (NDDB, 2019). In addition, for promoting organic farming particularly the need of farm yard manure has necessitated the farming community to keep livestock as a complementary component of his farming. It provides draught power and organic manure to crop sector and hides, skin, bones, blood and fibers to the industrial sector. Therefore, the importance of livestock goes beyond its food production function, and has become even more significant (Birthal et al., 2002).

Research methodology is a way of explaining how a researcher intends to carry out their research. It’s a logical, systematic plan to resolve a research problem. A methodology details a researcher’s approach to the research to ensure reliable, valid results that address their aims and objectives. It encompasses what data they’re going to collect and where from, as well as how it’s being collected and analyzed. The deliberation on the methodology has been made to understand the concept, methods and techniques which are utilized to design the study, collection of information, analysis of data and interpretation of the f indings for the revelation of truths and formulation of theories. This chapter deals with the method and procedure used in the study and consists of eight main parts

• Locale of research

• Pilot study.

• Sampling Design.

• Empirical measurement of the Independent and Dependent variable

• Preparation of interview Schedule.

The research setting is an important component of the research methodology. Research setting refers to the detailed information of an area where the study was conducted. The research setting can be seen as the physical, social, and cultural site in which the researcher conducts the study. In qualitative research, the participants are observed in their natural environments with a primary focus on meaning-making. The study area generally consists of a particular geographical area viz. a state, district, block, or gram panchayat area selected according to the benefit of the investigator who possesses adequate knowledge regarding the location, communication facility, the period of study, the availability of resources, etc. of the locality so that he can easily approach every corner of the area for data collection. Additionally, to comprehend people’s knowledge, attitudes, and behaviour more easily, investigators must have a fundamental understanding of their socio-demographic backgrounds. It is the environment within which studies are run that has important consequences for experimental design, the type of data that can be collected and the interpretation of results.

Research and development plays a central role in innovation, product improvement, cost optimization, and competitiveness in the ice cream industry. This chapter explains the distinction between research, development, and new product development and examines the responsibilities of an R&D department. It covers formulation development, pilot and plant trials, ingredient evaluation, shelf-life studies, regulatory considerations, supplier collaboration, product costing, and commercialization. The chapter also highlights the importance of cooperation between R&D, QA, production, procurement, marketing, and finance. Key performance indicators and common mistakes are discussed to strengthen the effectiveness of R&D programmes. The chapter ultimately connects scientific innovation with manufacturing feasibility, consumer expectations, regulatory compliance, and commercial success

A reservoir stores water behind a dam and can reduce downstream flooding by temporarily retaining part of the incoming flood volume. Its effectiveness depends on available storage, inflow characteristics, outlet capacity, operating rules, forecasting information, and the timing of releases. Reservoirs may also serve irrigation, municipal supply, hydropower, navigation, recreation, and environmental purposes, making their planning a multipurpose undertaking. This chapter introduces reservoir terminology, classifications, storage zones, capacity determination, site selection, sedimentation, and operating principles. It explains how flood-storage space modifies peak discharge and discusses reservoir routing, release regulation, design limitations, safety considerations, and the role of coordinated reservoir systems in basin-wide flood management.

Done for both biotic and abiotic stresses.

Biotic stresses are disease and insect pests.

Abiotic stresses are drought, salt, flood, heat, cold, etc.

Resource Conservation Technologies are essential for addressing environmental challenges, reducing resource depletion, and achieving sustainability goals. By efficiently managing and preserving these resources, we can minimize negative impacts on the environment, reduce costs, and ensure that these resources are available for future generations.

Resource Conservation Technologies (RCT) are practices, methods, and technologies used in various industries, primarily in agriculture and natural resource management, to efficiently and sustainably utilize and preserve valuable resources such as water, soil, energy, and biodiversity. These technologies aim to reduce waste, minimize environmental impact, and enhance the overall productivity and sustainability of resource-dependent activities. Here are some key aspects of resource conservation technologies:

Water Conservation Technologies: RCTs for water conservation focus on efficient water use in agriculture, industrial processes, and domestic settings. Examples include drip irrigation, rainwater harvesting, and the use of sensors to optimize water application.

Abstract

In South India, tanks system is quiet ancient, meant for storing and supplying water towards multifunctional needs of the people. In Tamil Nadu, there are around 39,000 tanks with varying size and types. Over past few decades, irrigation rely on stable and reliable groundwater resources like dug and deep bore wells, consequently tanks lost their significance. Moreover, excessive siltation, improper maintenance and illegal encroachment further degraded the system. The deterioration factors are broadly categorised into problems in catchment, feeder channels and head works which eventually resulted in loss of storage capacity. The present study chiefly narrates an indirect method of estimating the loss in storage capacity of tanks and the catchment problem, especially soil erosion and its induced siltation of tanks in the downstream using geoinformatics technology. Using remotely sensed satellite data, by measuring surface area of tank loss in storage capacity was estimated through a linear model. Using Digital Elevation Model derived topographic wetness indices data, the catchment problem especially, soil erosion areas were identified and remedial measures were suggested. Under prevailing water crisis, it is essential to rehabilitate the tanks through which the surface water potential can be improved along with quality as well.

A brief description of IGMC is given in Para 6.6 with details of the canal sections. Here an attempt is made to review the hydraulic performance of the Main Canal.

7B.1 Study of Flow Characteristic of the Main Canal

The main canal is designed for a maximum discharge of 524 m3/s at head i.e. at Km. 0. Large of number of branches, distributaries and minors off take from the main canal at different location all along the canal. These are shown in the L- section, Figure 7B.1 and a statement off taking canals is given Table 7B.1. Many distributaries such as lift canals have been planned subsequently. Also discharges of few off taking channels have been changed. A clear and updated data are not readily available. So data available are indicated in the Table and plotted in the L - section. A half bottom plan of the canal is also shown in Figure 7B.2