eChapters

Introduction

In one or another way, agriculture is integral to the physical and economic survival of every human being. The United Nations forecasts that the global population will reach more than 9 billion by 2050. To feed everyone, food production will have to increase 70 per cent. Helping the world’s farmers to achieve this target is challenging in itself, but beyond providing food, agriculture sustains the economies of most countries in significant ways, especially in the developing world (Anonymous, 2018). To meet this challenge in a fast-changing world, new tools, processes and ways of organizing-i.e. innovations-are needed to make agriculture more efficient in economic, social and environmental terms (Hall, Mytelka and Oyeyinka, 2006). Past efforts have tended to focus solely on technology. Previous approaches to technological change in agriculture have been based around supplying technology in a simplistic, top-down manner. These approaches had some success for relatively simple innovations in conducive settings. However, these simplistic approaches are not adequate for the task of meeting the complicated challenges facing agriculture today. Historically, new agricultural technologies have been developed by public research organizations and then transferred to farmers by public extension services (Sulaiman, 2015).

2.1 Introduction

Agro-meteorological advisories relate the past, current and predicted future weather to agricultural activities. Behaviour of weather both in space and time, considerably affect the agricultural production. Year to year variations in crop production are generally depended to the abnormalities in the behaviours of weather. The mission of the Agromet Advisory Services (AAS) of NCMRWF is to maximise farmers’ profits by decreasing losses due to weather calamities and also by increasing the timeliness of operations in the crop field. An ideal AAS bulletin helps to reduce environmental pollution through the optimum use of chemicals in the crop filed. An ideal AAS bulletin should contain farm management information to weather based agricultural operations and available to the farmers in real time.

INTRODUCTION

Rubber cultivation in regions extending from 10°N to 10°S latitude is known as the traditional region and the areas other than its natural climatic origin is termed as the non-traditional region. Northeast India comprises majority of the non-traditional areas in India with major climatic constraints like high seasonal rainfall, excessive precipitation and to some extent dry conditions. These areas extending from 22 to 29^°N latitude, holds promise in extending rubber cultivation because of its exceptional climatic make-up and abundant amount of annual precipitation (2000 mm) distributed over a fair period of time.

This perennial crop generally yields latex rubber at the 7th year after planting (with an economic life span of 20 years), although the period (immaturity period) it requires, is higher in the non-traditional region (Rubber Growers Companion, 2006). This immaturity period has also been shown to reduce with water availability in sub-humid climates (Vijayakumar et al. , 1998). Harvest of this crop is by tapping. Tapping is a process of controlled wounding during which thin shavings of bark are removed, thus opening the latex vessels which exude latex. Dry rubber yield is obtained after the latex is coagulated and rolled into sheets (about 500gm) which is then smoked and dried.

Introduction 
Chapter 14 explores the intricate relationship between rural development and agricultural economics, emphasizing their roles in promoting sustainability and food security. This chapter examines various aspects of agricultural policy, agribusiness, farm management, rural entrepreneurship, and sociology, linking these elements to broader economic and environmental concerns. The chapter starts with an analysis of agricultural policy and development, discussing how policy frameworks shape agricultural practices and rural growth. It highlights the importance of effective policies in fostering agricultural innovation, improving productivity, and supporting rural development. Agribusiness and marketing are crucial components of agricultural economics. This section delves into agribusiness strategies and agricultural marketing practices that influence market access, value addition, and overall economic viability for farmers and agribusinesses. Farm management and financial analysis are essential for optimizing agricultural operations and ensuring financial sustainability. The chapter explores principles of farm management, including planning, decision-making, and risk management, along with techniques for financial analysis to evaluate the profitability and efficiency of farming enterprises. Rural entrepreneurship is highlighted as a key driver of economic development in rural areas. This section examines how entrepreneurial activities contribute to rural growth, job creation, and economic diversification, fostering resilience and innovation in rural communities. Rural sociology provides insights into the social dimensions of rural development. The chapter covers the importance of rural sociology in understanding social structures, behaviors, and dynamics within rural communities. It also discusses new concepts in rural sociology that address contemporary challenges and opportunities. The importance of rural development and agricultural economics in food security is emphasized. The chapter explains how these fields contribute to enhancing food security by improving agricultural practices, supporting rural livelihoods, and addressing food supply challenges.

Introduction

The coastal tract of peninsular India extends from Rann of Kutch in Gujarat to Malabar Coast in Kerala on the western coast and from Coromandal coast in Tamil Nadu up to Sunderban delta in West Bengal on the eastern coast. The eastern coast is generally characterized by a wider coast line when compared to its western counterpart. Coastal ecosystem in India occupies an area of about10.78 million hectares (1,07,833 km²) extending in nine states. It also occupies considerable area underLakshadweep and Andaman and Nicobar group of Islands. The extent and distribution of coastalarea have been shown in Table 1.

Saline Water Agriculture has been drawing interest as one of the solutions for limitation of world fresh water supply, farmland availability, salinity ingression and the pressing future need of food supply. The cultivation of salt-tolerant crops on saline soil and with saline waters has significant social and economic potential.

It is often argued that fresh water agriculture near rivers and ponds was invented because of the need to sustain people and communities. Saline water agriculture is going to be needed for sustaining our future generations and civilization.

Introduction

Accumulation of excess soluble salts in the root zone of soils resulting in partial or complete loss of soil productivity is a worldwide phenomenon. The problems of soil salinity are widespread in the arid and semi-arid areas but salt-affected soils also occur extensively in the sub-humid and humid climates particularly in the coastal regions where the ingress of sea water through estuaries and rivers and through ground water movement causes large scale soil and water salinisation. Soil salinity is also a serious problem in areas where ground waters of high salt content are the only source of water available for irrigation. By far the most serious problems of salinity are being faced in the irrigated, arid and semi-arid regions of the world. Our ability to manage salt-affected soils and waters both in the irrigated and in the unirrigated regions will constitute a major effort in meeting potential food requirements. The magnitude of the problem can be appreciated from the following.

Air

Estimation of Total Suspended Particulate Matter (TSPM) and Respirable Suspended Particulate Matter (RSPM)

Requirements
Instrument

High Volume Sampler (HVS) APM 415-411 (Envirotech Instrument India), Respirable Dust Sampler (RDS) APM 451 (Envirotech Instrument India) with midget impinger containing absorbing solution were used.

Abstract
 
Mention about the Great Himalayan river of Vedic Period (10000-8000 BC) is found in ancient Indian literature. The river called as ‘Saraswati’ in India and ‘Hakra’ in Pakistan, was flowing with full majesty through Thar Desert around 6000 BC and dried up during 3000 BC due to climatic and tectonic changes in Himalayan region. The relict of this lost river is still found as palaeochannels in this region. Large numbers of archaeological sites of Harappan civilization occur along the dry river bed. 

Abstract

This paper sets out to describe key results and experiences obtained during the assessment of the crop response to water which varies strongly from crop to crop depending on its specific genetic characteristics and adaptation to ecological conditions. The specific crop water information for the different crops is compiled in a crop-based data base. This includes crop water parameters, yield response to water, as well as selection of economy crops. Existing natural water resources can sustain the crop production with high yield as well as economic value with minimal environment impact. Most of the crop varieties get all of its required water from rainfall- water but due to climate change there is always a demand of irrigation water from the ground water resources. Thus, there is a need to evaluate the crop water information in relation to ground water extraction as a source of irrigation.

5.1 Introduction
The Earth’s atmosphere is a vast, dynamic, and interconnected system, constantly in motion and influencing every aspect of our lives. Accurately observing and understanding this complex system is fundamental to predicting weather, monitoring climate change, and responding to environmental challenges. While ground-based platforms provide invaluable high-resolutiondata at specific locations, theitr  spatial coverage is inherently limited. This is where satellite remote sensing emerges as a revolutionary tool in meteorology. By observing the Earth and its atmosphere from space, satellites offer an unparalleled vantage point, providing global and continuous coverage that is impossible to achieve with ground-based instruments alone. They can capture data from remote oceans, deserts, and polar regions, offering a truly holistic view of atmospheric processes.
Satellite remote sensing enables meteorologists to measure a wide array of atmospheric parameters, including temperature and humidity profiles, cloud properties (type, height, movement), wind fields, precipitation rates, and the distribution of atmospheric gases and aerosols. This wealth of data is crucial for initializing and validating numerical weather prediction models, tracking severe storms, monitoring long-term climate trends, and conducting fundamental atmospheric research. This chapter will delve into the fascinating world of satellite remote sensing in meteorology, exploring the principles behind how these orbiting observatories collect data, the various types of meteorological satellites and their specialized instruments, and the diverse applications of the information they provide for understanding and forecasting
our planet’s weather and climate.

Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the buildup of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. Introduction to image processing 
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually image processing system includes treating images as two dimensional signals while applying already set signal processing methods to them.
Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Now-a-days, image processing is among rapidly growing technologies. It forms core research area within engineering and computer science disciplines too.

Introduction

Rice is known as the grain of life, and is synonymous with food for Asians. In addition to being a staple food and an integral part of social rites, rituals, and festivals in all Asian countries, it has a medicinal value too, which was clearly recognized by the medicine systems of the region. Ancient Ayurvedic treatises laud the Raktashali red rice as a nutritive food and medicine. The medicinal value of other rices such as Sashtika, Sali, and parched rice have been documented in the Charaka Samhita (c. 700 BC) and the Susruta Samhita (c. 400 BC), in the treatment of various ailments such as diarrhea, vomiting, fever, hemorrhage, chest pain, wounds, and burns.

According to late Dr. Richaria, the well known rice scientist, 4, 00,000 varieties of rice existed in India during the Vedic period. According to his estimates, even today 2, 00,000 varieties of rice exist in India - a truly phenomenal number. Farmers in every part of country have a deep knowledge of their own rice varieties, This has enabled them to harvest a crop even under the most severe stress situations. Traditional paddy varieties are location specific and has its own advantages viz. saline tolerant, drought tolerant, pest tolerant, used for specific purpose such as roofing material for houses etc.

It has been repeatedly proving that Science& Technology that is close and in harmony with nature is proving winner in the long run. If the past 60 years led to the Green Revolution in agriculture which often became Greed Revolution, the next 60 year should be the emergence of love for nature, diversity and Sustainable Green Revolution. The two goals – Sustainability and Productivity are inter-related.

It is also said that the main difference between the past and today is that our problems are truly global. We are also aware that globally and nationally the rich-poor divide is growing and though world produces enough food, nearly 800 million people remain food insecure. Among 8 millennium goals, eradication of poverty and hunger and environmental sustainability are perhaps the most prominent and complimentary.

This chapter introduces the scientific, biological, chemical, and economic importance of medicinal and aromatic plants associated with forest and allied systems. It examines their classification and diversity, chemical constituents, harvesting practices, processing, value addition, and extraction techniques. The chapter highlights the potential of these plants as valuable biological resources and explores approaches for their productive utilization. Sustainable harvesting, appropriate processing, and value addition are important for improving their economic potential while supporting conservation and responsible management of plant resources.

10.1 Introduction

The objective of this chapter is to develop a data logger and indicator for fire detection in agriculture field. The data logger is designed with the help of Scilab. The system comprises of Ardiuini Nano, light sensor, MQ6, MQ135, IR sensor, temperature sensor, power supply. The system is designed to take sensory data on Scilab with serial communication. Fig.10.1 shows block diagram for a system. Table.10.1 shows the component list required to develop the system.

INTRODUCTION

The state of Manipur is located at the easternmost border of India and is characterized by flat valleys comprising of four valley districts (Bishnupur, Imphal East, Imphal West and Thoubal) surrounded by five mild to steep slope hill districts (Chandel, Churachanpur, Senapati, Tamenglong, and Ukhrul). The state is geographically bordered by Nagaland in the north, Burma in the east, Mizoram in the south and Assam in the west. The total geographical area of the state is 22, 327sq. km divided into 20, 089sq. km in the hills and 2, 238sq. km. in the valley. More than 98% of the population in the hill is in rural areas whereas around 60% of the population in the valley is in rural and around 40% are in the urban areas.

The AAS Unit, Imphal is located at 24045' N latitude, 93054' E longitude at an altitude of 774m above msl. The agro-climatic zone of the state covers sub tropical plain zone, sub tropical hill zone, temperate hill zone and sub temperate zone.

Since its founding in the early 2000s, Scopus - which describes itself as a “source-neutral abstract and citation database curated by independent subjectmatter experts” — has been recognized as one of the top research indexes. At the time of writing this blog post, Scopus includes over 25,100 titles from 5,000 publishers, spanning 240 academic disciplines - with a staggering 76.8 million core records. Scopus encompasses research across scholarly disciplines but consists primarily of science and technology articles (Fig. 4.1).
There are many benefits to having journals added to the Scopus database. In addition to its extensive content coverage encompassing virtually all subjects, Scopus is known for its high level of academic rigor, including an annual journal re-evaluation process, which it requires as “an incentive for journals to maintain their high content quality.”
Scopus also provides a wide range of metrics for indexed content, including
• Journal-level metrics such as Citescore, which both publishes an annual impact score and gives monthly updates on how things are currently shaping up for each of the indexed titles via the CiteScore Tracker
• Article-level metrics such as PlumX, which analyzes how readers are responding to content in the broader online context (i.e., via tweets, blogs, Wikipedia references, etc.)
• Author-level metrics such as the h-index, which aims to provide an objective measure of the overall impact of individual authors’ publication histories.

Introduction

Drought is one of the primary factors responsible for depressing rice yield in chronic areas and in destabilising rice production in drought-prone areas. It is a production constraint common to all rainfed rice cultures: wetland, upland, and deepwater (O’Toole and Chang 1979). Breeding for drought resistance, a major component of the International Rice Research Institute’s (IRRI) Genetic Evaluation and Utilization (GEU) Program since the early 1970s, aims at countering the adverse effects of drought in unfavoured rice production areas.

Rice germplasm has such remarkably rich diversity that a continuous spectrum of genotypes differing in the various physiological mechanisms can be found and is available for genetic manipulation (Chang et al. 1982a). However, effective evaluation methods are essential for unravelling the specific mechanism(s) involved and for devising eficient selection criteria in a breeding program. Moreover, the broad spread in growth duration among rice cultivars makes it impractical to obtain uniform evaluation of a large number of cultivars when they differ in physiological responses that are specific to certain growth stages. Methods that can accommodate large numbers are essential to breeding program.