eChapters

The transition from conventional to organic farming requires numerous changes. One of the biggest changes is in the mindset of the farmer. Conventional approaches often involve the use of quick-fix remedies that, unfortunately, rarely address the cause of the problem. Transitioning farmers generally spend too much time worrying about replacing synthetic input with allowable organic product instead of considering management practices based on preventative strategies. Here are a few steps new entrants should follow when making the transition to organic farming:

20.1. Understand the Basics of Organic Agriculture and the Organic Farming Standards

Since organic production systems are knowledge based, new entrants and transitional producers must become familiar with sound and sustainable agricultural practices. Transitional producers should be prepared to read appropriate information, conduct their own trials and participate in formal and informal training events. As mentioned, switching from conventional to organic farming is more than substituting synthetic materials to organic allowed materials. Organic farming is a holistic system that relies on sound practices focused on preventative strategies. Since there are often few organic remedies available to organic producers for certain problems, prevention is the key element in organic production.

Introduction

Energy conservation is the practice of using less energy to lower costs and reduce environmental impact.

A majority percentage of energy used in buildings is still from non - renewable and fossil fuel resources. Lighting and Appliances are affecting energy demand in domestic sector.

Reasons for increased energy demand

• Increase in electrical appliance ownership

• Increasing income level and reliable access

• Rise of Lighting and appliance loads

13.1 Introduction

Greenhouse gas (GHG) emissions have become an increasingly important topic worldwide due to their effects on global warming and climate change. The effects of GHG emissions on the ecological and socioeconomic vulnerability have already been noticed and will continue to grow regionally and globally in the years to come (IPCC 2007). Carbon dioxide (CO₂), methane (CH₄), nitrous oxide (N₂O), hydrofluorocarbons, perflourocarbons, and sulfur hexafluoride are the important GHGs that are monitored by the United Nations Framework Convention on Climate Change (UNFCCC 2008). Global GHG emissions due to human activities (anthropogenic) have grown since the beginning of the industrial revolution with an increase of 70% between 1970 and 2004 (IPCC, 2007).

National journals play a crucial role in the dissemination of regionally relevant research, particularly in specialized fields such as agricultural sciences. These journals act as accessible platforms for researchers, practitioners, and policymakers to share findings, innovations, and solutions tailored to local contexts. Strengthening national journals is essential for fostering knowledge exchange, promoting inclusivity in scientific communication, and addressing the unique challenges faced by different regions (Fig. 12.1).
This chapter explores strategies for improving the quality, visibility, and credibility of national journals, with examples from countries across the globe, including those outside North America and Europe. Case studies of successful initiatives are included to illustrate best practices for empowering local publishing platforms, with a particular focus on non-English publications.
12.1. The Importance of National Journals in Agricultural Sciences
Agricultural sciences are inherently context-dependent. Local factors such as climate, soil type, cropping systems, and socioeconomic conditions influence the challenges faced by farmers and the solutions that are most effective. National journals provide a vital medium for addressing these region-specific issues, enabling researchers to publish studies that may not align with the broader focus of international journals. Furthermore, these journals often cater to the immediate needs of local policymakers, extension workers, and educators, ensuring that research findings are translated into actionable outcomes.

Abstract

In order to estimate the irrigation need of the crop, stress degree day index computers from canopy and air temperature could be used. During rabi manon, two varieties (Seeta, Brassica Juncea) and (Benoy, Brassica Camperteris) were grown. The canopy temperature of the crop was measured on 45th, 60th  and 75th  days after sowing and stress degree day (SDDI) was also measured. About 67, 70 and 51 per cent activation between SDDI and dry matter production could be explained at 45, 60 and 75 DAS of the crop growth period. Reflectance by mustard canopy was 940 measured. Late sown crop reflected less radiation with the advancement of growth. Extinction coefficient was also measured and the increase in the value of extinction coefficient upon irrigation showed canopy development and better utilization of increasing radiation by the crop. 

6.1. Data Interpretation and Visualization of West Bengal

Any kind of production management system or decision-making process is being organised in social ecology. No variable cannot behave discrete or free without having any kind of influence as well as impact from the vary operating ecosystem. That is how it is imperative to know and visualize the basic features in terms of its distributive characters. The distribution of features in variables through this networking and interactions ultimately contribute to a holistic visualization of social ecologization under study.

Table 6.1.1 represents the distribution of variables in terms of range i.e. maximum and minimum values, mean, standard deviation and coefficient of variation for Terai Zone, Old Alluvial Zone and New Alluvial Zone of West Bengal.

The average age (x1) of the respondent stands at 49.02. It denotes that so far as responsibility of agriculture and age base livelihood runs at the population so far as the respondent under study is peaks are at the hands of farmers approaching or passing through old ages. On the contrary the absence of young population or withdrawal of young age farmers from agriculture have got a serious implecation near and far. The cv value runs at 25.78 per cent to indicate that the distribution of variable is highly consistant.

The average of functional education (x2) of the respondent stands at 8.20.The variable education charecterization the social ecology speaks that the most of the respondents are having mid level school education.So, this has got spil over effect on the function and operation of other variables i.e. precisely the perception variables.The cv value stands at 43.69 per cent that’s good enough to infer that the distribution of the variable is highly consistent.

Introduction

Environmental problems have come to the forefront as one of the most important issues in transport policy. For a number of pollutants the road transport sector is one of the most significant contributors to environmental pollution. Vehicular emissions have been identified as one of the major contributors in deteriorating air quality in the urban centers. The problem has further been compounded by the concentration of large number of vehicles and comparatively high motor vehicle/population ratios in these cities. Substantial SPM, RSPM CO₂ and No_x are emitted. The problem of air pollution has assumed serious proportion in some of the major metropolitan cities of India. Therefore, CPCB has 296 monitoring stations all over India covering major cities.

The air pollution situation in most of the cities is still far from satisfactory. In India the major air pollution reason is automotive smoke and smoke from industries. New channels are also publishing pollution levels in selected metropolitan cities. The most polluted city in Asia is Pune. The SPM and RSPM levels are displayed at various squares to create awareness among the masses.

Smaller cities like Nanded, Parbhani and Yavatmal are not covered under National Ambient Air Quality Monitoring (NAAQM) scheme of Central Pollution Control Board (CPCB). The National Ambient Air Quality Standards for suspended particulate matters (SPM) are based on gravimetric measurement. Standards for Respirable suspended particulate matters (RSPM) are also based on gravimetric measurement. The development in terms of number of vehicles and building construction has also reached at the doors of these cities and towns. Nanded city having population of 5.5 lakhs has total number of Auto rickshaws more than 5,000. In the present study, Nanded city has been selected to check particulate matters and gaseous pollutants. Since, the city is one of the important Pilgrimage and commercial centre.

Real time weather data at different time intervals is very important for the crop weather studies, but through the agro-meteorological observatories such real time weather data are generally not collected. The acquisition of agro-meteorological data through conventional observatories requires services of trained personnel to collect, compile and creation of weather data base. With the advances in technology, weather observations are automatically recorded, stored and can be transmitted to the remote place with the help of Automatic Weather Station (AWS).

ABSTRACT

A satellite based earth observation system enhances our understanding of the entire earth as an integrated system. Remotely sensed data gives accuracy and complete data. To study the coastal zone or area remote sensing is on of the best technology to monitor the regular changes over the time. Here satellite data used to understand the distribution of prawn farms along the Nagappattinam coast. It has stretched from River Coleroon in the north to Point Calimer in south. Nagappattinam coast rocked by tsunami in 2004 and it damaged the whole life of coastal and fishing people. This paper has attempted to analyse the distribution of prawn farms and impact of tsunami in the Nagappattinam coast using remote sensing.

1. INTRODUCTION

Nagappattinam coast is located on the eastern part of Nagappattinam. It is a unique immemorial for its agricultural activities and lying in the deltaic region of Cauvery River. Nagappattinam coast (Fig 1) is peninsular delta area bounded by Bay of Bengal on the east, Palk Strait on the south, and Thiruvarur and Thanjavur districts on the west and Cuddalore on the north. The study area is located between 10^o 10’ N to 11^o 50’ N latitudes and 79^o 45’ E to 80^o 00’ E longitudes. Nagappattinam coast has covered an area of 935 sq. km.

Abstract

Groundwater is one of the major sources of exploitation in arid and semi -arid regions of Rajasthan. To protect groundwater, its data on spatial distribution are important along with quantity. Analysis of quality of groundwater is also very important, because the physical and chemical characteristics of groundwater determine its suitability for agricultural, industrial and domestic usages. The importance ground water increases many fold for arid tracts like Western Rajasthan. Here quality of water is also matter of serious concern. Geostatistics methods are most advanced techniques for interpolation of Groundwater quality. The present study appraises the groundwater quality of western Rajasthan for agricultural purpose with GIS technology. Kriging Raster Interpolation technique of spatial analyst module in Arc GIS software has been used to generate the spatial distribution map of ground water for agricultural purpose. In western Rajasthan only 28% (58109 km2) of ground water falls under the category of good and is suitable for agricultural use. 

Abstract

Conventional wisdom holds that variability in rainfall represents a significant variability of agriculture production. But urbanization of the cities on one hand and climate change on theother hand areaffecting the agriculture. Surprisingly, there have been very few analyses exploring the link between rainfall variability and urbanization on agriculture production. Therefore an attempt is made in this paper to know the affect of rainfall variability and urbanisation on the cropping area. For this purposeNDVI analysis is carried out in the catchments of Osmansagar and Himayathsagar Reservoirs by using the medium to high spatial resolution multi spectral data provided by remote sensing satellites, such as Landsat TM, IRS-1C/1D LISS-III and IRS-P6 LISS-III has been used for the years1989, 1994, 1998, 2002 and 2008 for Kharif season, 1975, 1990, 1994, 1998, 2003 and 2008 for rabi season which is collected from NRSC (National Remote Sensing Centre). From this analysis it is found that the increment is more in rabi season compared to kharif season due to the increment of non-monsoon rainfall intensities and ground water withdrawal structures. The increased utilization of the groundwater is causing the reduction of inflows to the reservoirs in the recent years because whatever the rainfall that occurs in the catchment, first utilised for meeting the depleted soil moisture and ground water consequently reducing the surface runoff.

Keywords : Climate change, Urbanisation, Inflows, Cropping area, NDVI

Urban Air Pollution and Its Impact on Roadside Plants
Urban Air Pollution

Modern industrial society produces a large number of gases and particles in quantities to harm human, plant or animal life. The amount of pollutants released to the atmosphere by fixed or mobile anthropogenic sources is generally associated with the levels of economic activity. Deterioration of air quality is a major environmental problem in many urban centers in both developed and developing countries. Automobiles constitute a major source of air pollution in the urban areas. Motor vehicle emissions result from fuel combustion or evaporation. The most common types of transport fuel are gasoline and diesel. CO₂ and water vapors are the main products of the combustion, emitted in vehicle exhaust. The major pollutants emitted from the vehicles are particulate matter (suspended fine and ultra fine), sulphur dioxide, oxides of nitrogen, carbon monoxide and metals.

Raster sub-setting is done to select the desired area or bands of the raster image on which the user wants to perform analysis. Raster sub-setting is done in two ways:

Spectral subset: Spectral sub-setting is done to extract few desired bands from the multiband raster image which are required for analysis.

Spatial subset: Spatial sub-setting is done to minimize the area or extent of raster image to the desired area or extent for further analysis.

Raster sub-setting in R is done by functions available in the ‘raster’ package. The following packages are required in this chapter:

In food production remarkable progress has been made in the last fifty years in agricultural production and self – sufficiency (Food security) has been reached. Yet nutritional security seems to be a distant goal. With depleting natural resources and increasing threat to the environment, sustainable crop production is attracting the attention of the scientists, farmers and administrators. Due to over exploitation of natural resources and indiscriminate use of agro chemicals, green revolution also brought in quite a lot of miseries which focus the urgent need to have EVERGREEN REVOLUTION that is sustainable, leading to food and nutritional security to the rural poor. At this juncture it will be more appropriate to practicing organic agriculrure through the integration of traditional wisdom and modern scientific knowledge in synergy with nature.

19.1. Eco-friendly Technologies for Rice Cultivation

A sound package of eco-friendly technologies to grow rice is being successfully adopted by a few progressive farmers in Puliangudi village in Tirunelveli district of Tamil Nadu. “The technologies work well with indigenous rice varieties such as Kitchili Samba. The cost of cultivation is substantially reduced and the organic rice fetches a premium price in the market,” says Mr. P. Gomathinayagam, a pioneer in organic farming in Puliangudi.

The One Nation One Subscription (ONOS) scheme is a cornerstone of India’s ambition to become a self reliant and developed nation by 2047 envisaged by Hon’ble Prime Minister Shri Narendra Modi Ji. The initiative is a significant step to enhance access to scientific and academic resources across the country. This initiative can positively impact Indian journal ratings and boost subscriptions by addressing several challenges listed below:
• Increased Access to Global Resources
• Enhanced Research Quality 118 | Promoting Excellence in Agricultural Sciences
• Support for Smaller Institutions
• Boost to Indian Journals
• Fostering Interdisciplinary Collaboration
By bridging gaps in resource accessibility and improving research output, ONOS can play a pivotal role in elevating the status of Indian journals on global platforms. While evaluating Indian Journals of Agricultural and Allied Sciences, comprehensive and inclusive databases with many characteristics listed below should be adopted so as to ensure equal focus and benefit from international exposure:
• The database should have regional and multi-lingual journals with proper translation or abstracting, interdisciplinary research output, more and new journals/technical reports/official scientific documents/conference proceedings etc, open access for smaller journals to ensure readily accessible cutting-edge research in agriculture
• The database should provide more nuanced metrics that value realistic impact and localized research contributions considering immediate practical applications
• The database should include a wide range of journals across diverse disciplines, including agriculture, forestry, veterinary sciences, and environmental science with more inclusion of regional and specialized journals, providing access to a broader spectrum of agricultural research
• The database should emphasis on journals from developing regions, which often publish research addressing local agricultural challenges. This diversity helps in showcasing research contributions from regions/countries with significant agricultural economies
• The database of agriculture-related journals should overlap with other related fields viz., environmental science, biology, and social sciences, reflecting the interdisciplinary nature of agriculture. This helps researchers access a more comprehensive set of resources
• The database have detailed subject areas, allowing researchers to pinpoint agricultural science journals within relevant subfields like:

7.1 Summary

Never ever in the annals of human civilization, the importance of ecological resilience has become so important and imperative as we are perceiving now. Both the need and greed of food economics have driven the resource bases of our ecosystem, to a dilapidated and fragile status. By 2050 the world’s population will touch close to 9.5 billion and we have to scale up our food production 60% more then what it is right now. In India by 2040, we have to cross 450 million tons of our targeted food production to keep rhythm with population growth. By 2035 we are going to cross the population of China. Understanding the cascade of risks for climate change, as well as the vulnerabilities to these risks, is key to frame ways to adapt. Reducing vulnerabilities is key to reducing the net impacts on food security and nutrition and also to reducing long-term effects. Increasing resilience of food security in the face of climate change calls for multiple interventions, from social protection to agricultural practices and risk management..

When population pressure is soaring up, the need to produce more food from less and less available land and water, the issues of ecological resilience are coming up more swashbuckling and humongous. The aftermath of green revolution has contributed to achievement in food security on one hand, the other hand water has been contaminated and depleted, soil has been eroded with a sharp decline of organic carbon. We are losing 15 tons of topsoil per hectare per year and inviting a disruptive agro-ecosystem, the syndrome of which are quite vivid and prominent.

7.1. Summary
The planet rise at this moment cannot endure and conjure up any further stress and distress created by un-mindful modernization of agriculture. This situation has gone further complex with the unabated rate of urbanization. The natural resources which looked plenty some 50 years back, now is coming up something scant and degraded. We have to protect this planet; hence, we have to protect our agriculture by placing ecological resilience with its perfect balance and dynamics. In doing so, we need to manage and recycle energy, water, and biodiversity in such a way that the operating agro-ecosystem can perform for another centuries. This is a herculean task, it will only be possible when farmers and other citizens are participating elegantly and equally into the process, because farmers are not producing food for their own, rather they are feeding the entire civilization. Every year 15-20 tonnes of top soils are being eroded, the highest anytime; the sea level is rising at the rate 5-10 mm again it has become highest over the last decades and the prediction for rate of changes in rainfall and temperature contributing to global warming has been accelerate like anything. In addition to this, we need to feed 950 crores of population by 2050, while lands are getting fragmented, resources are fragile, and water is getting increasingly contaminated. Thus, CA is the only option to create a perfect balance between productivity with increase of ecological resilience, even within the cropping system by introducing crop diversification with leguminous crops and this is specially so when the biodiversity is also getting eroded. Water harvesting is the need of the hour as we can make our farm more energy parsimonious, we have direct whatever crop residues are produced in the soil echelon and making this concept a revolution into a reality we have to go in a massive way with bring awareness, creating policies, and mobilizing community to make our agriculture ever- green and ever- resilient.
On this context the present research has been conducted with the following objectives:

Supervised classification is the technique to classify raster image in which prior information about the classes in the form of training sites is provided by the user. Training site represents a homogeneous area in a particular class. The spectral response pattern of training sites is used to classify the raster image.The pixels of raster imagewhich have spectral response pattern similar to that of training sites of a particular class are grouped in that class. As there is some variability in the spectral response pattern of a particular class, therefore, multiple training sites per class are taken for supervised classification. Supervised classification of raster images can be performed by various methods. Conventional methods include maximum likelihood classifier, minimum distance to mean classifier, and parallelepiped classifier. Now a days, machine learning algorithms are also gaining importance in this context. These classifying algorithms are first trained or calibrated using the data of training sites.This trained model is then validated on the independent datasets for accuracy assessment. If the accuracy of the developed model is of acceptable level, then that model is used for the classification of raster data.

In this chapter, we are going to discuss the execution of maximum likelihood classifier and few machine learning techniques for supervised classification of raster image in R software. The training sites used in this exercise are in the form of points shapefile. The raster image is classified into six classesi.e. built- up, fallow soil, riverine sand, salt-affected soil, vegetation, and water. For performing this exercise, first of all,set the working directory and import the required packages.

The advancement of agricultural sciences depends on systems that are fair, inclusive, and innovative. The rating of agricultural journals requires unique considerations due to the interdisciplinary and regionally diverse nature of agricultural research. By addressing structural inequities, prioritizing accessibility, and fostering leadership, the global agricultural research community can ensure its continued relevance in solving the most pressing challenges of our time (Fig. 17.1).
This book has explored the multifaceted issues facing agricultural sciences, offering a comprehensive roadmap to create systems that uphold the highest standards of equity, innovation, and collaboration.
17.1. Reforming Journal Ratings
A key pillar of advancing agricultural sciences lies in the reform of journal rating systems. Current systems often rely heavily on impact factors, a metric that, while useful, is not comprehensive. By moving toward a multidimensional evaluation framework, we can prioritize relevance, diversity of contributions, and societal impact alongside citation metrics. Reforms could include:
• Incorporating qualitative assessments of journals, such as their contributions to underrepresented research areas or regions.
• Promoting open-access journals that adhere to rigorous peer-review standards.

Abstract

The state of Tamil Nadu has a low easterly gradient slope and there are number of rivers, big and small originate from the west flow towards east south easterly and confluence the Bay of Bengal. These were grouped into seventeen major and minor river basins, the Cauvery being the largest basin and the river is also a near perennial river. These river basins receive rainfall both from the southwest and northeast monsoons. The state has over 40,000 surface water bodies and number of major dams and reservoirs. Even then, since the rainfall of the north east monsoon, the major source of water source to these basins, occurs in short span of few days with high rainfall, neither adequate storage is there to store them nor the recharge possibility is available, thus all leading to flooding and wastage. The 40,000 and odd water bodies are heavily silted and polluted too. The paper provides an over view of all these, basin wise, and in addition, strongly advocates intra state river linkage and improvised irrigation management as the best option to save the state from its water deficiency.