eChapters

A transplanting machine is a vital agricultural tool used to move seedlings from a nursery to a field, a process known as transplanting. These machines are specifically designed to plant seedlings or young plants at the desired depth, spacing, and arrangement in the soil, improving the efficiency and precision of transplanting. By replacing manual labor, transplanting machines save time, increase consistency, and ensure higher productivity. These machines are especially useful for crops such as rice, vegetables, and flowers, as they enable faster and more accurate planting compared to traditional methods.
VARIOUS TYPES OF TRANSPLANTING EQUIPMENT
Transplanters are versatile machines used for planting a wide range of crops, including:
• Tomatoes
• Cabbages
• Strawberries
• Tobacco
• Rice
• Vegetables like leeks, onions, and salads
These machines are designed to efficiently plant seedlings in rows at precise intervals, ensuring uniform growth. The construction of transplanting equipment varies depending on the type of crop being planted and the specific requirements of the field.

Wastewater is defined as water that has been altered by certain substances, resulting in changes in its physical, chemical, or biological properties. These changes render it unfit for certain uses, such as the purpose of drinking. Since almost all of man’s daily activities are dependent on water, therefore ‘waste’ is discharged into the surroundings as a result of these actions. There are a number of substances that can be harmful to the environment and make people sick, including chemicals, detergents, household cleaners, dirt, microorganisms (germs), and body wastes. The water supply generates a great deal of wastewater, so it is essential that it is treated in order to reduce the amount of waste that it generates. Essentially, wastewater treatment ensures that a healthy environment is created and public health is protected by removing the majority of pollutants found in wastewater through the treatment process. Consequently, wastewater management plays an important role in protecting the planet, and public and economic health, as well as social, economic, and political stability.

11.1 Introduction

Generally, except particular cases, the typical civil wastewater do not present substantial differences according to the town where they are produced, therefore the type and the sequence of water treatment are nearly the same.

Conversely, the industrial wastewater characteristics are extremely varying according to the type of activity. For example, the oil industry wastewater will contain high concentrations of oily substances and hydrocarbons, the galvanic industry will produce heavy metal polluted wastewater, a food industry will produce wastewater containing biodegradable substances and so on. Consequently also the whole cycle of treatment, being aimed at the removal of particular pollutants, will be different according to kind of industry. The individual treatments of a wastewater treatment plant can be classified in different ways. According to the functioning principle it is possible to distinguish biological, physical and chemical treatments.

Biological plants are more commonly used to treat domestic or combined domestic and industrial wastewater from a municipality. They use basically the same processes that would occur naturally in the receiving water, but give them a place to happen under controlled conditions, so that the cleansing reactions are completed before the water is discharged into the environment.

Physico-chemical plants are more often used to treat industrial wastewaters directly, because they often contain pollutants which cannot be removed efficiently by microorganisms— although industries that deal with biodegradable materials, such as food processing, dairies, breweries, and even paper, plastics and petrochemicals, may use biological treatment. And biological plants generally use some physical and chemical processes, too.

Introduction 
Tree-based biofuels, which are made from non-edible oilseeds of perennial trees, have emerged as a renewable energy source with considerable environmental and economic benefits. Unlike annual biofuel crops, tree-based biofuels have the potential for long-term yields, soil conservation benefits, and the ability to survive on marginal terrain (Dwivedi et al.,2011). Various tree species have been identified globally for their biofuel potential, with an emphasis on sustainability and low competition with food crops (Pandey et al., 2012). In India, there is a diverse range of over 100 tree species that produce seed oil suitable for biodiesel. These oil tree species can be cultivated on non-agricultural lands, ensuring that they do not compete with food and fodder production. Globally, tree-based biofuels are crucial for energy security. Palm, jatropha, pongamia, and mahua are among the feedstocks investigated by the US, Brazil, and Europe for biodiesel production. Tree-borne oilseeds (TBOs) are critical for biodiesel generation in India, which relies heavily on fossil fuel imports. India has implemented both the National Biofuel Policy (2009) and the National Agroforestry Policy (2014). The former policy aims to replace fossil fuels with biofuels, targeting a 5% replacement by 2012, 10% by 2017, and exceeding 10% beyond 2017. The latter policy focuses on integrated land use options for livelihood, environment, and energy security. Notably, important tree-borne oilseeds (TBOs) such as Jatropha, Karanj, Mahua, and Simarouba have been efficiently incorporated into agroforestry systems, yielding beneficial results and providing a significant source of non-edible oilseeds from trees. The need for alternatives to fossil fuels is particularly urgent for countries like India, which have a vibrant economy and high consumption of fossil fuels, heavily relying on imports. Biofuels, as renewable liquid fuels derived from biological sources, have proven to be promising substitutes for oil in the energy sector (Mahapatra et al.,2021). In India, the focus on biofuels is primarily on non-edible oils obtained from tree species’ seeds since oils from food crops like corn, sweet sorghum, and soybean cannot be diverted for biodiesel production (Raju et al., 2012). Tree-borne oilseeds (TBOs) are cultivated across the country in various agro-climatic conditions, including forest and non-forest areas, as well as wastelands, deserts, and hilly regions. India has a vast potential for oilseeds derived from trees, such as Mahua (Madhuca indica), Neem (Azadirachta indica),

Trenching and diversion structures are engineering methods employed to control water flow, especially in agricultural fields and construction sites. Trenching involves the creation of narrow and deep excavations, primarily used for laying utilities, drainage systems, or other underground infrastructure. These trenches, often deeper than they are wide, require careful design and adherence to safety protocols to prevent cave-ins and ensure worker safety.
Diversion structures, such as ditches, channels, or small dams, are designed to redirect the flow of water away from vulnerable areas. They help manage surface runoff, reduce erosion, and provide controlled irrigation. In construction settings, these systems protect worksites and foundations from water damage, while in agriculture, they optimize water usage and prevent soil degradation. Together, these techniques play a vital role in water management and land preservation.
PURPOSE AND UTILITY OF TRENCHES
Trenching serves a wide range of purposes in civil engineering and construction projects. It is commonly used for installing essential underground infrastructure such as water pipes, electrical cables, sewage systems, and telephone lines. In residential settings, trenching is frequently employed for tasks like laying irrigation systems, connecting plumbing lines, installing electrical cables, and placing pipes for heating systems.
At the municipal or city level, trenching plays a critical role in establishing and maintaining public utility networks. It enables the installation of extensive drainage systems, sewer pipelines, and city-wide electrical and communication lines. Proper trenching ensures the safe and efficient placement of these utilities while minimizing surface disruption and ensuring long-term functionality

Introduction

Time Series Analysis (TSA)

TSA is a crucial tool in the study of climate change, as it allows researchers to carefully examine patterns and changes in weather parameters over time. By analyzing time series data for temperature, precipitation, and other weather variables, scientists can identify trends and develop models that accurately describe the underlying structure of the series. These models can then be used to make predictions about future changes in weather patterns and the potential impacts of climate change on the environment and human society. The accurate forecasting of climate change using TSA can inform policy decisions and facilitate adaptation strategies to mitigate the effects of a changing climate.

Components of Time Series

When analyzing a time series, we often want to separate the different components that contribute to its overall behavior. The classical decomposition method is a widely used technique that breaks down a time series into four components: trend, seasonal, cyclical, and irregular.

Introduction

The term geographic information systems (GIS) has come to mean, variously, an industry, a product, a technology, and a science. As such, the term invokes different perceptions dependent on whether the viewpoint is that of the software developer, the system marketer, the data provider, the application specialist, or the academic researcher, among others. A newcomer to the field is likely to be bewildered by the multiple uses of the same term, or, seen alternatively, different definitions of the same term. For instance some find it distasteful to use of the conventional acronym GIS and prefer Geospatial Technology. With all the variety of perceptions predicting the future of GIS is a cumbersome business. The most certain inference we can gain from the available trends is, it is growing and is poised for further growth. Geotechnology along with Nanotechnology and Biotechnology is considered as of the three most promising growth industries for the near future.

Introduction

The protected cultivation aims to create a favorable environment for harnessing maximum potential even in adverse climatic conditions. Farmers in India are facing different challenges including small and fragmented land holdings, climate change, vagaries of weather, poor soil health and lack of knowledge and exposure to modern agricultural technologies. The protected cultivation farming is emerging as one of the better alternatives in agriculture and gaining foothold in India. However, for successful protected cultivation farming, one needs to understand the protected cultivation structures, climate control, production technologies, plant protection, water management, marketing, guidelines and policies. At present, various innovations are adopted under the greenhouse technology viz., Soil based cultivation and soil less cultivation. Soil less cultivation consist of solid media based and liquid media based. Solid media include coco-peat, vermiculite, perlite, rice husk, sawdust, mass grass, wheat - paddy straw, sand, gravels, rock wool etc. whereas liquid based media include hydroponic, aeroponic and aquaponics cultivation.

15.1 Introduction

A tsunami is a series of waves created when a body of water, such as an ocean, is rapidly displaced. Earthquakes, mass movements above or below water, volcanic eruptions and other underwater explosions, landslides, large meteorite impacts and testing with nuclear weapons at sea all have the potential to generate a tsunami. The effects of a tsunami can range from unnoticeable to devastating. The term tsunami comes from the Japanese words meaning harbor (“tsu”,) and wave (“nami”,). The term is created by fishermen who returned to port to find the area surrounding their harbor devastated, although they had not been aware of any wave in the open water. Tsunamis are common throughout Japanese history; approximately 195 events in Japan have been recorded.

A tsunami has a much smaller amplitude offshore, and a very long wavelength (often hundreds of kilometers long), which is why they generally pass unnoticed at sea, forming only a passing “hump” in the ocean (Fig. 15.1). Tsunami have been historically referred to as tidal waves because as they approach land, they take on the characteristics of a violent onrushing tide rather than the sort of cresting waves that are formed by wind action upon the ocean (Iwan, W.D., 2006).

7.1 Tuple Introduction

A tuple is a collection which is order and unchangeable. In python tuples are written with round brackets. Tuples in python are very similar to list which contains different types of elements with the following major differences.

It is declared as

tuple1=(1,2,3,“ram”,“shyam”)

Program implementation import timeit

listtime=timeit.timeit(stmt=“[1,2,3,4,5,6,7,8,9]”,number=1000000)

tupletime=timeit.timeit(stmt=“(1,2,3,4,5,6,7,8,9)”,number=1000000)

print(?List takes time:”, listtime)

print(?Tuple takes time:”, tupletime)

The decreased ability of water to transmit light which is caused by suspended particulate matter ranging in size from colloidal to coarse dispersions is refers as turbidity.
Principle
Turbidity is measured by its effect on the transmission of light, which is termed as Turbidimetry or by its effect on the scattering of light, which is termed as Nephelometry. Turbidimeter can be used for sample with moderate turbidity and Nephelometer for samples with low Turbidity. Higher the intensity of scattered light higher the turbidity.
1 mg SiO2/L = 1 unit of turbidity

19.1 Python Turtle Graphics

Turtle is a special feathers of Python. Using Turtle, we can easily draw in a drawing board.

First we import the turtle module. Then create a window, next we create turtle object and using turtle method we can draw in the drawing board.

19.2 Some Turtle Method

Example

from turtle import *

t = Turtle() #object in python

wn=Screen()

wn.title(?my first graphic”)

wn.bgcolor(?yellow”) #color filling in window

t.shape(?turtle”) #turtle shape given

t.color(?red”, “green”)

Crops are grown in soil. There are different types of soil. The soil type helps farmers decide what crops will grow best because some crops do better with particular types of soil. Testing the soil helps determine what nutrients are available or unavailable for growing certain crops. Farmers usually have local agricultural experts test the soil on their land for information on how to proceed in growing crops. The best soil has a balance of nutrients, such as potassium, magnesium, and others. Certain crops may need more of one nutrient, so farmers put back those ingredients into the soil for better crops.

Six different types of soil are listed below along with the crops which do well in these soils.

1.Loam: This type of soil helps grow the best possible crops because it provides the necessary elements for plant growth and development. Loamy sand contains mostly sand plus clay and silt. Such soils are good for root vegetables, such as carrots, radish, turnip, beets, leafy vegetables, potatoes and tomatoes.

2.Clay: Cabbage and broccoli grow well in clay soil, but it is not good for root vegetables because of its dense texture which does not allow free flow of water.

3.Sand: Root vegetables, such as turnips, parsnips, and carrots, grow well in sandy soil.

4.Silt: Silty soil is fertile and offers nutrients for plant development. Lettuce, cabbage, carrots, turnips, and many other vegetables flourish in silt. Strawberries, raspberries, blackberries do well.

5.Peat: Peaty soil provides plant growth when mixed with rich organic matter, lime, and compost that reduces its acidity. Legumes, root crops, cabbage, and spinach are easily grown in soil that’s well-drained.

6.Chalk: Sweet corn, beets, spinach, and cabbage are among the vegetables that benefit from chalkier soil. It is recommended that farmers use fertilizers and balance the pH levels to deal with the alkaline that can sometimes stunt growth.

2.1. Types of plant diseases

2.1.1. Types of infection

1. Localized diseases

5.1. Types of farming

Arable: Crops.

Pastoral: Animals.

Mixed: Crops and animals.

Subsistence: Grown just for the farmer and his family

Commercial: Grown to sell.

Intensive: High inputs of labour or capital usually small.

Extensive: Low inputs of labour or capital.

Sedentary: Permanently in one place.

Nomadic: The farmers move around to find new areas to farm.

Classification of the farming systems based on following criteria

Available natural resources, include water, land, grazing areas and forest; climate especially altitude; landscape including slope; farm size, tenure and organization.

Dominant pattern of farm activities and household livelihoods, include field crops, livestock, trees, aquaculture, hunting and gathering, processing and off-farm activities.

2.1 Introduction

Farm ponds are the most commonly used source of ex-situ water harvesting structures. It has wide adaptability in farmers’ fields and used as handy source for water supply to crop fields. It has been used since time immemorial not only as an assured source of water supply to crops but also to meet demands in other sectors. However, these ponds have wide variations in shape and size as per the method of construction and their suitability for different topographic conditions. Most of the ponds, initially constructed in fields have regular shape. However, as time progresses and because of the poor or no repair and maintenance, these ponds loose their regular shape and become irregular.

Different types of greenhouses or protected structures are designed to meet the specific needs. They can be classified based on shape, utility, construction, cladding material, net houses and technology adopted.

A. Classification based on shape of greenhouse: Greenhouses can be classified based on their shape or style. For the purpose of classification, the uniqueness of the cross section of the greenhouses can be considered as a factor. As the longitudinal section tend to be approximately the same for all types, the longitudinal section of the greenhouse cannot be used for classification. The cross sections depict the width and height of the structure and the length is perpendicular to the plane of cross section. Also, the cross section provides information on the overall shape of the structural members, such as truss or hoop, which will be repeated on every day. The commonly followed types of greenhouse based on shape are lean-to, even span, uneven span, ridge and furrow, saw tooth and quonset.

Lean-to type greenhouse: A lean-to design is used when a greenhouse is placed against the side of an existing building. It is built against a building, using the existing structure for one or more of its sides. It is usually attached to a house, but may be attached to other buildings. The roof of the building is extended with appropriate greenhouse covering material and the area is properly enclosed. It is typically facing south side. The lean-to type greenhouse is limited to single or double-row plant benches with a total width of 7 to 12 feet. It can be as long as the building it is attached to. It should face the best direction for adequate sun exposure. The advantage of the lean-to type greenhouse is that, it usually is close to available electricity, water, and heat. It is a least expensive structure. This design makes the best use of sunlight and minimizes the requirement of roof supports. It has the following disadvantages:

Application of greenhouses in agriculture is mainly to modify microclimate for the production of crops with multiple objectives of raising crops in season offseason, round the year, early crops, late crops, breed crops, raise genetically engineered plants, seed production so and so forth. With hi-tech agriculture and modern techniques greenhouses are used for growing crops anywhere and everywhere, on soil under soil, water, under water and space. Greenhouses are mainly used for crop nursery production, crop production largely in vegetables, flowers and herbs. Among fruits mainly strawberry is grown under greehouses commercially. Other fruits can also be grown.

Besides crop production greenhouses are used for dehydration or drying of produce, seed production, for crop improvement using biotechnology and other sciences. Use of greenhouses in uncongenial environments for crop production is common in places like high altitudes, deserts, arctic climate and alike. One of the largest greenhouse complexes in the world is in Almería, Andalucía, Spain, where greenhouses cover almost 200 km2 (49,000 acres). One of the important use of greenhouses world over is raising tissue culture plants through a popularly known process hardening. For hardening of tissue culture plants different types of low and high technology greenhouses are must. Greenhouses in hot, dry climates used specifically to provide shade are sometimes called shade houses. Hydroponic crop production is generally done in greenhouses. Greenhouses are also used as retail market centres mainly for ornamental plants and seedlings and grafts of horticultural crops. Greenhouses are used for maintaining bee (honey bees and bumble bees) colonies as crop pollinators.

INTRODUCTION
Tyres serve as the essential contact points between your vehicle and the ground. Without tyres, the power generated by the engine would be ineffective in producing movement. This power transfer is known as traction, and the effectiveness of a tyre’s interaction with the surface significantly influences how much of the engine’s power can be utilized. Traction becomes even more critical when operating heavy machinery, particularly for farm and field applications. Tractors, for instance, are built for rugged and demanding conditions, requiring more traction compared to regular tubeless car tyres.
A tyre consists of a torus, made of a complex, flexible, reinforced composite material that surrounds a steel hub and is filled with air under pressure. The tyre’s rolling tread usually features expanded ribs. The design and shape of the torus, as well as the construction materials, are chosen based on the specific application of the tyre. Generally, a tyre is characterized by its construction type, mounting details, ply rating, and other key dimensions, as illustrated in relevant diagrams .

ABSTRACT

Fruits and vegetables are rich source of bioactive compounds such as polyphenols, antioxidants and flavonoids. Drying is one of the common methods for preservation of food and agricultural commodities. However, drying may negatively affect the product quality attributes. This article is a capsule overview of current state of art ultrasound (US) assisted drying on technical aspects and bioactivity of fruits and vegetables. US assisted drying is an economical and sustainable technique compared to other existing conventional techniques used for food processing and preservation. US as a pretreatment before drying of agricultural-products enhances drying efficiency, inactivate enzymes and improve overall quality of dried products. Current developments and available solutions in drying have shown that US assisted drying may be used to restrict the loss of crucial bioactive components occurring naturally in fruits and vegetables. US when combined with hot air drying helps in achieving adequate drying rate at lower temperatures and improves overall dehydration process. This technique has found no practical application commercially due to various difficulties in achieving high-intensity US in air. One practical benefit of using US assisted drying is the minimization of the drying time along with reduction in total energy consumption.

The cold chain is the lifeline of the ice cream industry because the product must remain continuously frozen from factory hardening until consumption. This chapter examines the complete cold-chain network, beginning with hardening and factory cold storage and extending through CFA or distributor cold rooms, refrigerated transport, retail freezers, and final consumer handling. It explains temperature requirements, monitoring systems, equipment selection, cold-room management, stock rotation, and quality assurance. Particular attention is given to Indian challenges such as power interruptions, inadequate freezer maintenance, poor retailer practices, and temperature abuse. The chapter demonstrates how disciplined cold-chain management protects texture, flavour, shape, overrun, shelf life, and ultimately consumer confidence

Artificial intelligence is becoming an important technology for transforming agricultural decision-making and farm management. This chapter introduces the fundamental concepts, tools, and applications of AI in agriculture. It explains how machine learning, deep learning, computer vision, predictive analytics, and intelligent systems can process large volumes of agricultural data. AI applications include crop monitoring, disease detection, yield prediction, precision input management, and automated decision-making. The chapter also discusses the major drivers of AI adoption, including increasing food demand, resource constraints, climate change, and labour shortages. Examples of AI-based agricultural applications demonstrate its potential to improve productivity, sustainability, resource efficiency, and resilience.

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

Abstract

Dissolved Organic Carbon (DOC) consisting of water soluble organic molecules and by products of organic decomposition and chemical degradation processes, constitutes a critical link in carbon and nutrient cycles. The quality, or chemical and physical character, of DOC affects the degree to which it is transformed by biological and chemical processes. The significance of DOC was studied in layered coastal aquifers of the Pondicherry region during four different seasons. Pondicherry region has varied geological set up ranging from Cretaceous to Recent formations. A total of 52 groundwater samples were collected from various aquifers like Alluvium, Tertiary(Upper Cuddalore, Lower Cuddalore) and Cretaceous for two different seasons of pre- monsoon(PRM), and post-monsoon (POM). The samples were analyzed for major ions and DOC. The range of DOC in the study area is 0-14 mg/l. Very high DOC concentrations were measured during PRM in the samples from Alluvium and Lower Cuddalore Formation. The samples of these formations were compared with pH, Ionic strength, log pCO₂ and carbonate minerals concentration. The alluvial aquifer shows that pH governed dissolution along the coastal tracts and in Upper Cuddalore formation it’s based on interaction between aquifer matrix and groundwater.

Abstract

A study on colloids in groundwater and its relationship with the geochemical parameters is reasonably essential because of its facilitating nature to transport radionuclides in groundwater. Colloid sampling has been carried out in the coastal aquifers of southeast coast of India. Two different bore wells were selected based on the distance from the coast to collect groundwater samples. On the basis of the result achieved from this study, a reliable representation is emerging. The values of pH and EC are governed by the different size fraction of colloids. In this study, the relation between different size fractions of groundwater colloids and its pH, TDS and EC were carried out. These parameters were analyzed in the lab and its influence with four fractions of colloid like 1.2, 0.8, 0.45 and 0.22 µm have been discovered by smooth scatter plot. The accumulation of particles weighting by normal weighing instrument. There is an higher accumulation of particles found in Kalpakkam than Anupuram in all the size fractions. For separation of particles high frequency pressure was used by ultrasonic cleaner had been carried out. This method is very simple and more reasonable than any other methods.

Abstract

The development and management of fresh groundwater resources in coastal aquifers are seriously constrained by the impact of seawater intrusion. The coastal aquifers are fragile and this situation becomes more intense like that of the coastal Cuddalore region. The geochemical signature of groundwater of Cuddalore coast was studied for Pre Monsoon, Southwest, North east and Post Monsoon seasons by collecting total of 64 groundwater samples in each season. The collected samples from were analysed for physical parameters, such as electrical conductivity (EC), pH and major ion concentrations, such as Ca, Mg, Na, K, Cl, HCO₃, PO₄ and SO₄. Interpretation of analytical data shows the predominance of  Na–Cl type   in PRM and Ca- Mg-Cl type  is the dominant facies during POM. The Chaddas evaluation diagram shows that the hydrogeochemical evaluation plot for PRM samples fall in  Na-Cl type. The ratios of Na/Cl and Cl/HCO₃ is also enumerated the fact that the most of the samples from PRM and few samples from other seasons also indicates dominance of salt water intrusion.

I. Decimal Multiples and Sub-Multiples

II. Description of Units

Mechanical Units

Electric and Magnetic Units

The esu and emu unit systems are cgs systems.

esu denotes “electrostatic unit”, sometimes given prefix “stat”, e.g. statcoulomb emu denotes “electromagnetic unit”, sometimes given prefix “ab”, e.g. abcoulomb Some emu units have special names:

1. Fundamental Concepts of Unit Operations

    1.    Process is the set of activities or industrial operations that modify the properties of raw materials with the purpose of obtaining products to satisfy the needs of a society.

    2.    Food process engineering includes the part of human activity in which the knowledge of physical, natural, and economic sciences is applied to agricultural products as related to their composition, energetic content, or physical state.

    3.    Food process engineering can also be defined as “the science of conceiving, calculating, designing, building, and running the facilities where the transformation processes of agricultural products, at the industrial level and as economically as possible, are carried out.

    4.    In a discontinuous operation the raw material is loaded in the equipment; after performing the required transformation, the obtained products are unloaded. These operations, also called “batch” or “intermittent,” are carried out in steps:

Unsupervised classification is the technique of classification of raster data in which no prior information is provided by the user. Raster data is classified based on their spectral characteristics such that the pixels having similar spectral properties in the multispectral feature space are grouped together in one class. Unsupervised classification is mainly performed by clustering algorithms. The purpose of these algorithms is to minimize within cluster variability and maximize between clusters variability. The user must interpret and label the classes after performing unsupervised classification. This method of classification requires minimum data which makes it easy and quick, but user has toput efforts in identification of the classes. This method could be useful when user doesn’t have any prior knowledge about the study area. This method removes subjectivity and enables us to get the unique classes which might be unrecognized by the user. K-means is the most commonly used method for performing unsupervised classification. In this chapter, we have discussed K- means, CLARA and unsupervised random forest method for classification of raster data in R.

Normally we associate our agriculture and food supply with farms and villages. The new trends of greener cities and urban and peri urban horticulture (UPH) are emerging very fast. Towns and cities in the world’s developing countries are growing at great speed. Ten years ago, an estimated 40 percent of the developing world’s population or 2 billion people lived in urban areas. Since then, their numbers have expanded twice as fast as total population growth, to more than 2.5 billion. By 2025, more than half the developing world’s population of 3.5 billion will be urban. Again most of the world’s fastest growing cities are in Asia and Africa with young population.

Urban climatology deals with changes in climatic conditions that prevail in large cities and towns that differ from the surroundings. Urban climates are influenced by large built-up areas, increased human activities and dense population and are found to experience differences in temperature, humidity, wind speed and direction and rainfall compared to adjoining areas. Tall buildings, paved streets and parking lots affect radiation balance, wind flow and run-off. The atmosphere in urban areas will have higher concentration of pollutants like carbon monoxide, oxides of sulphur and nitrogen, hydrocarbons, oxidants and particulate matters. Heavy concentration of air pollutants will have considerable impact on temperature, humidity, wind, and precipitation in and around urban areas. Heavy concentrations of air pollutants for longer periods or several days may lead to temperature inversions. The temperature inversions prevent convection and vertical movement of air. The centre of urban area will be warmer by even 5 to 6°C compared to adjoining areas. During summer months, the concrete structures absorb, store and reradiate more solar energy per unit area compared to vegetation. During nights, radiative losses from urban buildings and roads keep city warmer than the rural areas. The average relative humidity in cities is usually lower due to lack of evapotranspiration from vegetation. The mean wind speed will be 20 to 30 percent due to increased frictional drag induced by built up urban terrain (Fig.17.1).
The urban areas influence precipitation patterns in its vicinity as turbulence and convection get modified by city environment.
17.1. Urban Heat Islands
An urban heat island is a type of microclimate that is created when an urban area becomes warmer than the surrounding area. It is common in large cities (Fig.17.2). The characteristic features of urban heat islands are as follows:
• Increased temperature
• Large temperature difference by even 5 to 6°C
• The south facing buildings receive more sunlight in the northern hemisphere
• The tall buildings in urban areas create streets that act like deep valley
• The albedo will be very less. The darker areas lead to more absorption of incoming solar radiation and emit more of long wave radiation
• The concrete structures are built with materials having low specific heat. Therefore, concrete structures warm up faster and lead to quick rise in temperature
• The higher density of buildings reduces wind speeds.

Abstract

The constant improvement in automation of bakery industry has placed higher demands on wheat. As a consequence bakery industry requires wheat possessing specific quality attributes. In view of this, there is need to produce good quality wheat not only for good chapattis but also for better bakery products viz., bread, biscuit, noodles, pasta products. New technologies are emerging which could be exploited for determining the Indian wheats for their suitability for various value added products. In the current investigation, 50 genotypes possessing low protein content (<10.5%) selected from a vast amount of breeding material were analysed for their biscuit making attributes. These lines were screened by actual baking test and alkaline water retention capacity (AWRC) test keeping the standard prescribed for biscuit making qualities viz., low protein content, low sedimentation value, low AWRC and larger diameter with larger spread factor of biscuit. Further with the help of Stable Micro Systems TA.HDi Texture Analyser the biscuits were analysed for hardness and crispness. Correlation coefficient among 8 quality traits suggested highly significant and positive correlation between sedimentation value and AWRC, biscuit diameter and spread factor, and biscuit hardness and fracturability, and significant negative correlation between biscuit diameter and its thickness. On the basis of findings, genotypes identified for biscuit making qualities may be used as donor for developing varieties suitable for biscuit making.

Abstract

Aquifers are usually composed of permeable layers that can ways a considerable amount of groundwater. Usually, aquifer units are correlated through the concept of lithostratigraphy. For low-permeable aquifers, it is difficult to define the spatial distribution of hydrogeological units, and this study attempts to use geochemical methods to identify the groundwater flow paths in an area of Southeast coast of Tamil Nadu, India. Multiple geochemical analyses, including groundwater chemistry; stable isotopic compositions of d¹⁸O and 8D contents were performed.  Spatial distribution of d¹⁸O, dD, Cl-/HCO-₃ show that northeastern part of the study area seriously affected by seawater intrusion. The highly permeable aquifers at the east coastal region are characterized by high hydraulic conductivity as compared with other regions of the study area. Hydrogeochemical characteristics based on bivariate diagrams of major and minor ions show that changes in the chemical composition of groundwater are mainly controlled by the salinization process followed by cation-exchange reactions.

Abstract

The weather or climate is a natural resource and is an important basic input in agricultural planning and strategies. Every plant process, related with growth, development and yield of a crop and each of inseason and off-season farm operations (according to World Meteorological Organization) is more than 10 per cent and can reach up to 50 per cent in smaller areas and not a surprise even if it reaches to 100 per cent on micro scale. Amongst the various weather elements, temperatures, radiation and rainfall play major role in deciding the crop growth and yield levels. Precipitation is one of the important weather factors being responsible for atmospheric and soil moisture and therefore has more agricultural importance, especially in rainfed agriculture.

Keywords: Remote sensing, weather, agroadvisory, GIS

1.0 Introduction

India receives more than 70 per cent of its annual rainfall during South West monsoon season. Indian summer monsoon rainfall shows large intra - seasonal and intra-annual variability (Parthasarathy, 1960; Alexander et al., 1978; Mooley and Parthasarathy, 1984) and also changes in space and time, intensity and distribution. Borgaonkar and Pant (2001) have reported that Indian monsoon rainfall has shown trend less nature since 17^th century based on proxy data with large inter-annual fluctuations. IPCC (2001) has reported increase in rainfall over tropical and higher latitudes and decrease in rainfall over subtropics and mid latitudes.

4.1. Information and Communication Technology

Refers to technologies that provide access to information through telecommunications.

Similar to IT, but focuses on communication technologies.

Includes the Internet, wireless network, cell phones, and other communication medium.

ABSTRACT

The study shows the use of information resources and services by the academia. Aim: study focuses on age, designation, gender, qualification and computer literacy impact all use of information resources and services. Objectives: To know the use of information resources by faculty of fashion institute, to study the awareness of OPAC among faculty of fashion institute, to find out the frequency of using library by faculty and to investigate the level of computer literacy. Methodology: used survey method, collected data through questionnaire method. The questionnaire designed and distributed 380 questionnaires to users of selected fashion design institute and we received 120 filled questionnaires. The outcome shows that they are satisfied with information resources and services of Fashion design institution.

Keywords: Information, Resources, Services, Fashion design, Fashion institution, Fashion technology, Swatch library; South India.

Protected cultivation, encompassing systems like greenhouses, polyhouses, and shade nets, has revolutionized modern agriculture by creating controlled environments that shield crops from adverse climatic conditions. This method not only extends the growing period but also enhances the quantity and quality of yields.
A key element of success in protected cultivation is the efficient management of water and nutrients, made possible through advanced irrigation and fertigation techniques.
IRRIGATION IN PROTECTED CULTIVATION
Irrigation is essential for delivering adequate moisture to crops, which is crucial for their healthy development. In protected cultivation settings—where rainfall is either insufficient or unpredictable—reliable irrigation systems become even more important. Traditional methods like surface or furrow irrigation are less effective, often leading to water loss and irregular distribution. In contrast, modern systems such as drip and micro-sprinkler irrigation provide precise delivery of water directly to the plant’s root zone, significantly reducing evaporation and runoff. Among these, drip irrigation has become particularly popular due to its high efficiency. By applying water directly at the soil surface near the roots, it minimizes wastage and ensures consistent moisture levels. This technique not only saves water but also supports healthy root growth and reduces the incidence of soil-borne diseases. Research shows that drip irrigation can decrease water consumption by 30–70% while improving crop productivity by 20–90% compared to conventional irrigation methods.

Introduction

The country’s population is growing at fast pace putting pressure on agriculture sector to grow more with declining resources. Proper planning and management become ever more crucial to ensure the sustainability of food production with minimal environmental footprints. Space technologies have unique advantages of providing large area synoptic coverage, with repetitive, objective and scientific datasets essential for monitoring a hugely vast and heterogeneous country like India. Agriculture being very dynamic and highly dependent on different natural resources needs continuous monitoring. Therefore these technologies have immense potential for application in the agriculture sector of the country. Space based technologies provide information on crops and natural resources on a real-time basis, proving unmatched opportunity for planning including in-season manipulation of crop production and management practices improving the resilience of farming against weather aberrations. Advanced estimates of regional agricultural output are critical to anticipate and mitigate the course of food shortage from sudden crop failure.

Incidentally, the first practical application of remote sensing in India was in the field of agriculture, wherein early detection of coconut wilt disease in Kerala was possible using air borne infrared cameras (Dakshinamurty et al. 1971). To explore the potential of space technology through satellites Joint Experiment Programme (JEP) started for defining the appropriate configurations of sensors in Indian Remote Sensing (IRS) satellites during the early 1980s. After exhaustive field experimentation, the potential of remote sensing (RS) technology to estimate crop yield and area to forecast its productivity at district and regional level due to the multispectral, large area and repetitive coverage was established. By that time this technology was being used operationally used by a few advance nations. With the launch of the first IRS satellite IRS-1A in 1988, in India

All these methods of utilization and the conversion to useful energies depend on the climate, population density of the area and the basic infrastructure. It is important to work out the market for the products which are produced.
 
Bio-waste management: It needs to take from small actions to the ambitious ones. European Commission proposes to use wastes which could make up to 25% of total energy consumption by 2020. They propose to have directives for the promotion of renewable electricity (Directive 2001/77/EC) and biofuels (Directive 2003/30/EC). The waste production in Europe has gone upto 2 kg per capita per day. Recycling rates are also rising (European Commission, 2017). The Member states must develop a national action plan and outline the national policies to develop existing biomass resources and mobilise new biomass resources for different uses. A European project has studied the amount of renewable energy to be used in 2020. According to them it will be around 195 million tons of oil equivalents (Mton) of biomass which is biodegradable part of MSW. This will be 20% of renewable energy target. It has also been estimated that the amount of bio-energy from the MSW will be 20 Mton, which would account for around 7% of all renewable energy in 2020. This may be available after composting and anaerobic digestion (Atanasiu, 2010).

ABSTRACT

Synthetic Aperture Radar (SAR) images are being used more extensively than ever before for geosciences Applications in the moist tropics. With SAR's side viewing geometry, longer wavelengths, and almost all-weather sensing capability, SAR imagery has been extensively useful mapping tool for coastal geomorphology in the moist tropics. The purpose of this study to assess the use of Multitemporal C-band ENVISAT- ASAR data for identification of different coastal geomorphology in part of Tamilnadu coast. The orbital ASAR data was digitally geometric corrected (ortho-rectified) and filtered for speckle noise, and linearly stretched in order to enhance contrast between the coastal environment features. By using the methods of crisp enhancement, linear stretching and PCA, to show the various Coastal geomorphological units. The information extraction is based on recognition of the mechanism interactions occurring between radar signal and the target on the ground, represented by shallow water morphology in the intertidal conditions, coastal dunes, mangroves, marshes and highland. In an application perspective, Orbital ASAR data proved to be a fundamental source of information for both geomorphological mapping and land use pattern in moist tropical environments.

Key Words : ASAR, Geomorphology, Mangroves, Land Cover, Coastal mapping.

INTRODUCTION TO DRONES USED FOR EARLY PEST AND DISEASE DETECTION
The utilization of drones for the early detection of pests and diseases in agriculture represents a novel and effective strategy that enables farmers to proactively oversee crop health. Drones outfitted with sophisticated sensors can consistently surveil fields, delivering real-time data and facilitating the prompt detection of possible dangers.
Agricultural drones are employed to identify pests and illnesses at an early stage by capturing aerial imagery of crops. This enables farmers to respond swiftly to safeguard their crops, perhaps resulting in increased yields and reduced environmental impact.
The utilization of drones in agricultural pest management presents numerous benefits compared to conventional techniques. Drones outfitted with infrared cameras can furnish farmers with real-time information on crop health, facilitating the early identification of possible problems such as pests, illnesses, or nutritional deficits.
Pathology can adversely affect plant vitality prior to the manifestation of any obvious indicators such as foliar discoloration. Although these pressures are imperceptible to the unaided eye, cameras equipped with specialized filters may identify these nuanced variations.
Researchers at the Department of Life Sciences and Computing are collaborating with the agricultural services firm Agrii to develop cameras placed on drones. These cameras can autonomously identify early signs of disease and notify farmers when to apply treatments, prior to crop harm.
Applying fungicides promptly in the appropriate locations would enable farmers to utilize them effectively and optimize their application. They are

8.1 Introduction

The concept of social justice led to a raise the standard of living of the masses. This is only possible by meeting the energy needs of industry, agriculture, transport and domestic use. The energy of demand has been increasing tremendously all over the world science mid – nineteenth century due to rise in industrial and agricultural activities and was being met to a great extent by fossil fuels.

Three factors led the mankind to look for alternative renewable sources of energy like solar, wind, hydro etc. (1) there is a danger that the rate at which the non renewable sources of energies are being consumed presently may lead to a global shortage in the near future. This has already happen in case of oil. (2) Use of fossil fuel involves emission of toxic gases polluting the environment causing health hazards of living being. and (3) the demand and supply gas of energy is continuously widening, thus necessitating to exploit renewable sources of energy.

Out of various renewable energy sources, solar energy has been a promising one and lot of development has been taken in its technology for various uses. The numbers of technology engaged in developing solar energy for meaningful use are aiming to achieve the following objectives-

ABSTRACT

Of late, the importance of integrated study of multi-theme data is being realised in geological mapping and mineral exploration programmes. The usefulness of such a study lies in the fact that data integration and interpretation in a conjunctive mode enables to infer more information than the sets can separately provide. The present paper presents several case studies, illustrating the usefulness of multi-theme data integration in geological mapping and mineral exploration.

1. INTRODUCTION

Integrated study of multi-theme data is being practiced in the recent times in the geological mapping and mineral exploration campaigns. Such a study, in a synergetic fashion, helps to extract more meaningful information than from the study of individual datasets. It not only helps in deciphering regional geological picture, but also in the precise location of drilling targets, thereby yielding rich dividends for the expenditure incurred in the mapping and mineral investigations. Besides, the success ratio of the mineral investigations has also shown a significant increase, resulting in the discovery of more mineral

deposits. Hence the integration of multi-theme data is of paramount importance for the success of geological mapping and mineral investigations.

ABSTRACT

Spectral signatures are the specific combination of reflected and absorbed electromagnetic radiation at varying wavelengths which can uniquely identify an object. The “Spectral signature” of an object is a function of 1) incidental EM wavelength and material interaction with that section of the electromagnetic spectrum. The measurements can be made with various instruments, including a task specific spectrometer, although the most common method is separation of the Red, Green, Blue and Near Infrared portion of the EM spectrum as acquired by digital cameras. The spectral signatures serve as diagnostic tools in understanding the composition and structure of the materials. The present paper highlights the usefulness of the spectral signatures in rock and mineral discrimination and mineral exploration and stresses the need for creation of a spectral data base in India for various applications.

1. INTRODUCTION

Objects at the Earth's surface emit and reflect many wavelengths of radiation. In principle, each object has a unique spectral signature, which could be used for identification much like a finger print. Remotely sensed spectral signatures could be utilized for recognizing and mapping for all kinds of features. This can be done to a limited extent with conventional multispectral scanners that operate in a few broad bands of visible and infrared energy. However, broad spectral bands often do not distinguish between similar features. To overcome this limitation, a more sophisticated approach toward spectral signatures has arisen during the past few years. This approach is called image spectroscopy or hyperspectral analysis, which is based on scanning hundreds of closely spaced and very narrow spectral bands. With this technique, it is possible to create continuous spectral response curves, which may be used to identify many objects positively.

The utilization of biomass presents a promising avenue for addressing the challenges of resource scarcity, waste management, and environmental sustainability. This book chapter delves into the multifaceted applications of biomass, with a particular focus on the processing of straw, a versatile agricultural residue. From providing essential bedding material for animals and enhancing agricultural practices to playing a pivotal role in horticulture, cushioning, mulching, and composting, this chapter examines the diverse roles that processed straw assumes. Furthermore, it explores its significance in paper and cardboard manufacturing and its emergence as a renewable fuel source, underscoring how thoughtful biomass utilization paves the way toward a more environmentally conscious and resilient future.

Reliability aims at assessing the accuracy and consistency of whatsoever the measuring instrument measures irrespective of whether we are measuring what we are supposed to measure or not. Whereas the validity emphasises on the question “are we measuring what we were supposed to measure?”

To clarify the difference between reliability and validity, let us take an example of instruments that measure colour intensity. Assume, an expert develops two separate instruments X and Y to measure the intensity of green and red colour, respectively. But, the commercial manufacturer wrongly tags the red colour measuring instrument as X. When someone uses this wrongly tagged instrument for measuring the green colour intensity, whatever intensity values the instrument yields are reliable but not valid. It is so because the instrument is measuring red colour intensity accurately (hence data is reliable) but it is not measuring what it was supposed to measure –the green colour intensity (hence data is not valid).

The increasing global emphasis on sustainability and the circular economy has brought renewed focus to the valorization of agri-biomass and organic waste—the process of converting low-value, often discarded residues into highvalue products. Agricultural biomass, including crop residues such as straw, husks, and stalks, along with organic waste like food scraps, animal manure, and agro-industrial by-products, is both abundant and underutilized, particularly in developing regions. Traditionally, these materials have been disposed of through open burning, landfilling, or natural decomposition, all of which release significant quantities of greenhouse gases and contribute to environmental degradation. However, recent innovations in green technology and material science are transforming these waste streams into valuable resources. Through processes such as pyrolysis, fermentation, and biochemical conversion, agri-biomass and organic waste can now be converted into biochar, bio-based chemicals, and sustainable biomaterials. These products not only mitigate environmental harm but also create new economic opportunities across agriculture, industry, and the renewable energy sector. By leveraging these advancements, societies can significantly reduce waste, lower emissions, and accelerate the transition to a more sustainable and circular bioeconomy.

Introduction
Glycerol, a colourless and odourless sweet viscous liquid, is a prominent member of the polyol family—compounds distinguished by their multiple alcohol groups. Chemically known as 1, 3-propanetriol and commonly referred to as glycerine, it contains three hydroxyl (-OH) groups, which contribute to its hygroscopic nature and chemical versatility. As an essential component of lipids, glycerol forms the structural backbone of fats and oils, underscoring its biological and chemical significance. Over the years, glycerol has transitioned from being a laboratory curiosity to becoming a cornerstone of modern industrial processes, thanks to its versatility and renewable sourcing (Zhu et al., 2024).
Modern Applications and Industrial Importance of Glycerol
1. Chemical Industry: As a versatile platform chemical glycerol supports the creation of acrolein, propylene glycol and polyhydroxyalkanoates derivatives. Catalytic transformations allow glycerol to produce glycerol carbonate which finds application in lubricants, solvents and polymer synthesis research (Aranda et al., 2009). Glycerol demonstrates essential functionality in the creation of hydrogen and syngas which results in more eco-friendly manufacturing methods.
2. Pharmaceuticals and Cosmetics: The humectant and lubricant properties of glycerol make it essential for pharmaceuticals and cosmetics where it maintains moisture in cough syrups, lozenges, and skin creams while improving texture. The medical derivative glycerol trinitrate provides essential treatment for angina pectoris which results in substantial therapeutic advantages (Binod et al., 2011).
3. Food Industry: Glycerol functions as a humectant and preservative, maintaining moisture in products like dried fruits, confectioneries, and beverages. In formulations free of sugar, it also serves as a sweetener (Awogbemi and Von Kallon, 2022).
4. Animal Feed: A economical energy source for cattle, crude glycerol, a biodiesel byproduct, helps sustainable agricultural methods (Mekunye and Makinde, 2024).
5. Energy and Environmental Sustainability: Glycerol is used in biogas development to improve methane yields and helps the development of bio refineries for converting waste glycerol into biofuels, lipids, and other sustainable chemicals (Peng et al., 2023).
6. Other Applications: Glycerol finds usage as a concrete addition for enhanced durability and in antifreeze compositions in the building and automobile industries. In printing, paper manufacture, and microbial fermentation techniques, it also finds roles as a plasticiser, lubricant, and carbon source (Solowski et al., 2020).

7.1 Introduction
Valorization in simple terms means to increase the value of a product, in economics it is usually through government and administrative actions. In the concept of waste management, it is defined as the process of reutilizing or making a new product of value from waste sources. Several kinds of wastes can be transformed into materials and energy of value, one such example is agricultural wastes. These agricultural wastes are eligible to be a base for manufacturing refined commodity (Capanoglu, Nemli and Tomas-Barberan, 2022) such as chemicals, adsorbents, pharmaceutical products, acids, chitosan, certain type of wax esters, pigments etc. or can be used in several industrial or domestic processes as an energy source, most commonly the production of bioethanol. Valorization greatly contributes to circular economy as materials are continuously renewed and reused, minimizing the need for virgin resources. By transforming agricultural wastes into value – added products, valorization helps to close the loop, ensuring that each by – product is put to use in an efficient, affordable and green way, thereby reducing the dependance on conventional waste management techniques such as landfills and incineration. Moreover, valorization has other benefits, including improved public health, development of newer industries in the material recovery and processing and waste management sector. It can also bring about social awareness about sustainable practices, fostering responsible consumption and waste disposal behaviors.
7.2 Types of Agricultural Wastes
Generally, agricultural wastes are organic. The most common types of agricultural wastes are biomass from rotten produce, crops, livestock carcasses, dead leaves, droppings from livestock and straws. These organic wastes have vast potential in being converted to value – added products through various methods without much additional treatment. Inorganic wastes such as heavy metals like Pb, Cu, Hg and Ba are also found in agricultural runoff containing pesticides, paints etc. Figure 7.1 (Omojola Awogbemi et al. 2022) provides various examples of agricultural wastes that are commonly used in the production of materials and energy.