eChapters

Seeding or sowing is an art of placing seeds in the soil to have good germination in the field. A perfect seeding gives a) Correct amount of seed per unit area. b) Correct depth at which seed is placed in the soil. c) Correct spacing between row-to-row and plant-to-plant. Seed drill is a machine for placing the seeds in a continuous flow in furrows at uniform rate and at controlled depth with or without the arrangement of covering them with soil. Planter is normally used for those seeds which are larger in size and cannot be used by usual seed drills. A planter consists of: (i) hopper (ii) feed metering device (iii) knock out arrangement (iv) cut-off mechanism (v) furrow opener and (vi) other accessories. A planter has seed hopper for each row.

Sowing equipment plays an important role in modern agriculture by ensuring efficient and precise planting of seeds, which is fundamental for achieving optimal crop yield and quality. The evolution of agricultural machinery has transformed traditional methods of sowing, replacing labor-intensive practices with mechanized solutions that save time, reduce human effort, and enhance productivity. These tools and machines are designed to address the diverse requirements of various crops, soil types, and climatic conditions, making them indispensable for farmers seeking sustainable farming practices. The key objective of sowing equipment is to place seeds at the desired depth and spacing, ensuring uniformity in the field. This precision not only promotes better germination rates but also facilitates proper growth and development of crops. Modern sowing machines are equipped with advanced features such as adjustable depth controls, seed metering systems, and compatibility with fertilizers, enabling farmers to customize their planting process according to specific needs. Additionally, the integration of technology in these machines has further enhanced their efficiency, with GPS-guided systems and automation ensuring minimal wastage and maximum accuracy. Sowing equipment also contributes to soil conservation by minimizing disturbance during the planting process. Techniques such as zero-tillage and minimum-tillage sowing are made possible with specialized machinery, reducing erosion and preserving soil health. Furthermore, these tools are designed to work seamlessly in various terrains and conditions, ensuring consistent performance in diverse agricultural landscapes. By optimizing resource utilization and improving planting accuracy, sowing equipment supports farmers in meeting the growing demand for food while adhering to environmentally responsible practices. The advancements in this field continue to revolutionize agriculture, offering innovative solutions that align with the goals of efficiency, sustainability, and profitability.

Abstract

The groundwater behaviour in hard rock aquifer systems has always remained enigmatic owing to the heterogeneity of the aquifer systems. This is the reason why there are a lot of failures in groundwater targeting and management in hard rock aquifer systems even after the employment of many modern technologies. For precise groundwater targeting in hard rock aquifer systems various parameters like lithology, the type and the degree of structural deformation, the degree of weathering, geomorphology, etc., will have to be analysed which involves spatial analysis of voluminous data. In the sphere of spatial modelling, GIS plays an important role. Hence, a newer study has been carried out in parts of Madurai, Dindigul and Theni districts, Tamil Nadu, to identify the groundwater provinces and their functions using GIS. In the said study, GIS images were generated on the groundwater targets through GIS integration of transmissivity, permeability, storage co-efficient and water level. Such GIS image showing groundwater maxima was overlaid with GIS image of fracture maxima, subsurface geology maxima and the geomorphology maxima and thus by various GIS based spatial manipulations, aquifers controlled by structure, geomorphology, subsurface geology, and combinations of the above various variables were brought out. This has provided potential method for precise targeting of groundwater.

Key words : Remote Sensing, Ecosystem, Environmental Pollution, Biodiversity Conservation, Coastal Environmental Degradation, Wetland.

Introduction

National prosperity and human resources development are primarily shaped by the availability of natural resources and their use. None the less, the benefits are quite often negated by the resultant environmental degradation concomitant with their utilisation for economic values. The problems of environmental degradation have assumed critical dimensions in many parts of India due to resources exploitation; industrialisation and urbanisation, unchecked population growth and a never ending quest for energy to meet the increasing demands. Moreover, improper utilisation of resources has resulted in such environmental problems as soil erosion, waterlogging, floods, droughts and pollution of various types besides socio-economic disparity among people.

After the 1972 Stockholm conference on Human Environment and Development, there has been a phenomenal increase in the worldwide interest in the environmental issues associated with development. Consequently, the focus of development has shifted to environment friendly and sustainable developmental planning in recent years. The Rio Summit (June 3-14, 1992) further emphasised the fact that earth is an integral and interdependent system, which require sustainable developmental planning. During deliberations of the Rio Summit (Earth Summit), it was emphasised that satellite imagery will be quite helpful in monitoring earth’s environment.

India has a long tradition of environmental protection and has enacted laws during the last three decades to give further impetus to the conservation of natural resources and protection of environment. Some of the important laws are:

Introduction

All spatial data stored in a GIS are associated with a map projection, either implicitly (so-called “unprojected” data stored with raw longitude, latitude coordinates) or explicitly (where the data have been transformed into a known map projection). Map projections are a particularly important feature of spatial data because they introduce error and distortion, since a sphere cannot be transformed to a plane without some stretching and twisting of the sphere’s surface.

The typical GIS package supports anywhere from 5 to 50 map projection types, and most projections may be modified or customized by varying their parameters. This flexibility is important for two reasons First, in order to use two or more layers together in a GIS for visualization or analysis, all data must be projected in the same way. Second, certain types of analyses, such as the measurement of area, are only valid when using certain types of projections (and conversely, are completely wrong when using an inappropriate projection).

ABSTRACT

Soil is the medium in which the plant growth and development occurs. Soil type might change with genesis of the parent material and with prevailing weather conditions. Dominant soils of Tamil Nadu are Black soil, Red soil, Laterite soil and Hill soils. Each soil type has an inherent potential to retain and release nutrients to plants. The availability of nutrients varies from place to place and hence spatial distribution of nutrients, quantity of nutrients along with plant available water determines phenological development of crops. Nutrients are broadly classified as Macro and Micro nutrients that are required for crops in large and small quantities respectively. Availability of both macro and micro nutrients and its spatial distribution has not been attempted so far at a regional level. Such regional level approach of nutrients would suffice the researchers and policy planners to employ these data as inputs to Crop Simulation Models (CSM) in forecasting productivity of crops.

Thiruvannamalai district in Tamil Nadu is divided into 6 taluks, 18 blocks covering an area of 6,31,205 haof land. The district lies between 12⁰ 00’ to 12⁰ 55’ N latitude and 78⁰ 37'to 79⁰ 45’ E longitude. Red loamy soil is predominantly prevalent followed by black loamy soils. Generally paddy, groundnut, sugarcane, millets and pulses are cultivated during fasli season. This district was chosen as our study area.

A study has been attempted to map micro nutrients of Thiruvannamalai district. Geo-referenced surface soil samples from eighteen blocks of Thiruvananmalai district covering maximum soil units of soil map were collected randomly as per procedure adopted by soil survey manual. Global Positioning System (GPS) were used to collect corresponding geographic coordinates from each soil sampling point covering the entire Thiruvananmalai district by using Rikaline Bluetooth GPS 6031- X7 model. Approximately one thousand five hundred surface soil samples were collected, air dried, powered and sieved as per standard conditions. Soil samples were analyzed for its physical, chemical and fertility properties. Fertility maps for Micro nutrients such as Zinc, Iron, Manganese, Copper and Boron were plotted in ARCGIS Desktop. Micronutrients maps form a part of base map in analyzing and preparing an aggregated fertility map of Thiruvannamalai district.

Remote sensing images have an important characteristic known as spatial frequency. Spatial frequency is defined as the number of changes in pixel value per unit distance. Few changes in pixel or brightness value over an area in an image are known as low spatial frequency area like agricultural fields, forests, water bodies, etc. If the changes are large, then it is known as high frequency area like roads, built up areas, etc. Spatial filtering is an approach for extracting quantitative spatial information by taking into account the neighbouring pixel values along with the independent pixel value. Therefore, filtering is a technique for modifying or enhancing an image. Filtering is done to improve the interpretability of raster image or to extract certain information from them. It is a neighbourhood operation because the value of any pixel in the output image is determined by applying certain algorithm on the neighbourhood pixels of the corresponding input pixel. The nature of algorithm to be applied depends upon the information which user wants to derive from the raster image. Filtering operations are mainly done for smoothening, sharpening, noise removal and edge enhancement. A filter is a kernel of small array which is applied to input pixel and its neighbouring pixels in the raster. There are many types of filters which can be applied to a raster image in R. These types with their respective R – code examples are explained further.

24.1. What?

Most of the horticultural crops are raised by following special techniques such as budding and grafting. In case of landscape horticulture, frequent pruning and mowing are required to maintain the architecture. When new area is brought under cultivation, either jungle or unwanted plants have to be cleared. To perform all these operations, certain set of special tools are used. Some tools, though small, are of great need in raising and maintaining horticultural crops at various growth stages.

24.2. Special tools for horticultural crops

24.2.1. Manual

Axe, Dah, Hand shovel, Garden rake, Crow bar, Felling dao, Tea pruning dao, Billhook, Budding knife, Grafting knife, Budding and grafting knife, Pruning and slashing knives, Multipurpose chopping knife, Pruning secateurs, Pneumatic secateurs, Hedge shear, Hedge trimmer, Lopping shear, Forester shear, Grass shear, Garden sword, Flower scissors and coconut tree climber

Introduction

The conventional approach of the human person for plant classification is comparing the color and shape of the leaves, but by using Artificial Intelligence analysis can provide quicker and more detailed results by analyzing the morphology of the leaves and provides more details about the leaf properties. Species Recognition has been a very important part of agriculture and there are thousands of species in plants which can be identified by a single person and even if it does so It will take a huge lot of time to do it.

In this chapter we will discuss and built a project related to identify species in flower with an image. In this project we will be using Artificial Intelligence different branches like machine learning, deep learning and computer vision to build such an amazing project. So, let’s begin

ABSTRACT

In the present paper, study of spectral reflectance measurements has been carried out for different type of snow and other ambient objects in snowbound areas of Indian Himalaya using Spectroradiometer (350-2500nm). The observations suggest that there are significant changes in the spectral radiances and reflectance values of snow and other ambient objects, which can be discriminated using satellite multi-spectral bands, however for characterizing the snow using satellite sensor, spectral bands having maximum radiances values should be greater than snow radiances and suitable spectral bandwidth are to be identified. The detail analysis of field collected reflectance suggest that, due to aging and grain size variation in snow, the maximum variations in reflectance was observed in the NIR region i.e. around 1040-1050nm. For contamination and snow depth, the maximum variation was observed in the visible region i.e. around 470nm and 590nm respectively. For the moisture changes, the maximum variations observed around 980 and 1160nm. The study also suggests, normalized difference snow index (NDSI) increases with the increase of aging, grain size and moisture content. This study can be helpful in selection of suitable spectral bands for snow cover applications using satellite

remote sensing and developing the algorithms for seasonal snow cover characteristics using multi-spectral and hyper-spectral data.

Speculation and hedging are important ways of minimizing price risk in business.

Speculation: Risk is taken by person specializing in business without much consideration of business trends.

Hedging: A calculated risk is taken.

Aim: To perform speed control of D.C. shunt motor by

1. Armature resistance control method.

2. Field (flux) control method.

This method is based on the fact that by varying the voltage available across the armature, the back EMF and hence the speed of the motor can be changed. This is done by inserting a variable resistance RC (known as controller resistance) in series with the armature as shown in Fig. (a).

INTRODUCTION
To turn raw spices into usable products like ground powders, whole spices, or blended mixes, a number of processes are involved in spice processing. The procedure guarantees that the spices are safe to eat and appropriate for longterm storage in addition to preserving their flavor and aroma. When processing spices, it is essential to use specialized equipment for tasks like cleaning, grinding, blending, and packaging.
Since they add flavor, color, and aroma to any dish, spices have long been a useful addition to the kitchen. Spices like coriander, cumin, and turmeric are now more than just ingredients; they are a thriving industry. Anyone working in the food industry or just curious about how spices are transformed from unprocessed farm produce to the fine powders we use in recipes needs to understand the processing of spices. Establishing a productive, economical, and superior spice processing facility can have a significant impact on those in the industry. Spice processing might be the solution if you want to improve the quality of your spices. This guide explains the steps involved in processing spices, how it operates, and the advantages it provides.
SOURCING THE BEST RAW MATERIALS
Careful raw material selection is the first step in the processing of spices. To guarantee a consistent and superior supply of spices, Indian spice manufacturing companies form solid alliances with regional farmers and growers. Selecting the right raw material is crucial because it establishes the flavor and aroma that will characterize the finished product.
Second, Cleaning and Sorting
The raw spices are carefully cleaned and sorted once they arrive at the manufacturing facility. In order to eliminate contaminants, foreign materials, and impurities that might have been introduced during cultivation and transportation,

20.1. What?

Sprayer is equipment used for applying insecticides, fungicides, herbicides and in some cases fertilizers as foliar sprays to agricultural crops. Sprayers range in size from man-portable units (backpacks) to Self propelled units with boom mounts covering 60-150 feet length. Sprayers include the ones used for spraying liquid formulations, dusters for dusting dust formulations and granular applicators for delivering granules.

20.2. Principle of working

Sprayers work based on Bernoulli’s principle. Basically, the sprayers have a storage tank, a plunger, lance and a nozzle. When the plunger is pushed in, the air flows at a high velocity through the nozzle. The flow of air at high velocity creates a region of low pressure just above the lance. The higher atmospheric pressure acts on the surface of the liquid insecticide causing it to rise up the lance and the insecticide leaves out through the nozzle as a fine spray.

Sprayers are fitted with hollow cone nozzles for spraying pesticides and with flat fan nozzles for herbicides.

Sprinkler irrigation is an advanced method of irrigation in which water is sprayed to air and allowed to fall on the ground similar to rainfall. The spraying of water occurs through nozzle connected to a network of pipes with water under pressure. The rate of application and area of coverage under a sprinkler is regulated by suitable selection of nozzle size and pressure in the system.

History of Sprinkler Irrigation

The sprinkler irrigation has started elsewhere in the world in the early part of twentieth century. Before 1920, sprinkler irrigation was limited to orchard, nurseries and intensive vegetable cultivation. The cost of sprinkler reduced considerably by the development of impact sprinkler and lightweight steel pipe with quick couplers in the 1930s. As a result, sprinkler irrigation began to spread in larger area and to the area of field crops. However, sprinkler irrigation developed mainly after the Second World War with the introduction of lightweight portable aluminum pipe.

Sprinkler irrigation has started in India from mid of 1950s. Due to requirement of high initial investment, the average Indian farmers cannot afford the system and therefore the area under sprinkler irrigation in India was 0.66mha (approx.) out of total irrigated area of 87.80mHa in 1995 (INCID). The sprinkler irrigation was first introduced in India in hilly regions such as Western Ghats in Kerala, Tamil Nadu, Karnataka and in the North Eastern States especially by plantation owners for irrigating tea, coffee and cardamom crops. Since the cost of aluminum pipe is high, to replace it, High Density Polyethylene Pipe (HDPE)/PVC with suitable modification have been introduced in sprinkler system. However, the area under HDPE/PVC piping system is below 20% to the total area under sprinkler irrigation. The remaining area is cultivated under aluminum or steel based sets. The indigenous manufacturing of the system has started in India only 35-40 years ago and there are about fifty numbers of manufacturers till 1996 (INCID). The details of the cultivated area under sprinkler irrigation system in the world and in Indian States are given in Table 8.1 & 8.2 respectively.

Stabilizers and emulsifiers are used in small quantities but have major effects on the structure and quality of ice cream. This chapter explains the differences between these two functional ingredient groups and describes their roles in controlling water mobility, fat destabilization, air-cell stability, texture, meltdown, and heat-shock resistance. It discusses commonly used stabilizers and emulsifiers, their individual characteristics, and the advantages of using blended systems. Particular attention is given to formulation balance and the defects that may arise from incorrect selection or dosage, including gummy texture, weak body, poor meltdown, and structural instability. Practical guidelines help manufacturers select and use these ingredients effectively for consistent product quality.

The valorization of agri-biomass and organic waste is governed by a mix of regulations, standards, and policies aimed at promoting resource efficiency, reducing environmental impact, and fostering sustainable development. These measures include national and international initiatives, sector-specific laws, and economic instruments designed to incentivize waste management and promote the utilization of byproducts for energy, materials, and other applications. The valorization of agri-biomass and organic waste into biofuels, bio-based chemicals, bioenergy, and other value-added products is increasingly being recognized as a critical pillar of sustainable development, circular economy, and climate action. In India, the regulatory and policy framework surrounding this sector has evolved significantly in recent years, reflecting growing governmental interest in managing agricultural residues, reducing pollution, promoting renewable energy, and incentivizing green industries. A wide range of ministries—such as the Ministry of New and Renewable Energy (MNRE), Ministry of Environment, Forest and Climate Change (MoEFCC), Ministry of Agriculture and Farmers Welfare (MoA&FW), and Ministry of Petroleum and Natural Gas (MoPNG)—as well as regulatory bodies like Central Pollution Control Board (CPCB) and Bureau of Indian Standards (BIS) play pivotal roles in formulating and enforcing the relevant policies, regulations, and technical standards. One of the flagship policies in this domain is the National Policy on Biofuels (2018, revised 2022), which provides a roadmap for blending biofuels such as ethanol, biodiesel, and compressed biogas (CBG) with conventional fuels. It promotes the use of second-generation (2G) feedstocks like agricultural residues, municipal solid waste, and non-edible oilseeds for biofuel production. Under this policy, the government supports financial incentives, viability gap funding, R&D investments, and market linkages to boost bio-refinery infrastructure. This is supplemented by the SATAT (Sustainable Alternative Towards Affordable Transportation) initiative, launched by MoPNG, which aims to establish 5,000 CBG plants across India using agri-residues, cattle dung, and organic waste, thereby encouraging decentralized waste valorization.

The stiffness of starch gels from different starches at 5% concentration was shown in decreasing order of stiffness in the following table. Of the cereal starches corn starch gel was firmest followed by wheat and rice starch gels. Among the roots and tubers starches, potato yielded a ropy paste, arrowroot a soft paste while cassava starch gave viscous fluid.

Experiment

An experiment is a planned inquiry to obtain new facts or confirm or deny the result of previous experiment. Such inquiry can aid in an administrative decision, such as recommending a variety, a feed, a cultural practices, a fertilizer, a pesticide or a fungicide etc.

Type of Experiments

    1.     Preliminary experiments : Here investigator tries out large number of treatments in order to obtain leads for future work. Here replications are not taken for such treatments tried e.g. number of pesticides for control of diseases - take single observation for each treatment and take decision that some of them worth trying for use.

8.1 Introduction

The knowledge of statistics and probability is very helpful for correct prediction of hydrological data and correct prediction of hydrological data is useful in giving good performance in all water resources projects. Since hydrological data are highly stochastic varying both in space and time, it is essential to predict them as correct as possible. The hydrologic evens do not depend on physical and chemical laws but depend entirely on nature. They cannot be predicted exactly by using any relationship but can be predicted at different probability levels by fitting suitable probability distribution functions. Application of statistics and probability in the field of hydrology can help to predict the hydrologic events in a better way. In hydrology, objectives of statistics are as follows (Suresh, 2008):