eChapters

Introduction

Adoption of green revolution technologies during 1960s led to increased productivity and elimination of acute foodgrain shortages in India. These technologies primarily involved growing of high-yielding dwarf varieties of rice and wheat, increased use of chemical fertilizers and other agrochemicals, and spread of irrigation facilities. This was also accompanied by other modern methods of cultivation, which included maximum tilling of land, virtually clean cultivation with complete removal of crop residues and other biomass from the field, fixed crop rotations mostly involving cereals, and elimination of fertility- restoring pulses and oilseed crops in the highly productive north-western plain zone of the country.

Abstract

With recent advances in molecular biology and rapid developments in new analytical techniques, engineering of microbes for the bioremediation processes has been extensively studied as recombinant microbes can degrade various toxic pollutants effectively. The prospect of microbial engineering has greater potentialities for agriculture and environmental applications and this may provide us deeper insight in understanding the microbial interactions and biotransformation processes. Though much work has been carried out on bioremediation using genetically engineered microorganisms, its application is restricted to environment due to the concerns of health and environment over ecosystem. Nevertheless, evaluation of risk assessment has also been carried out in order to ascertain the potential benefits of transgenic microbes.

In India, being predominantly an agricultural country, livestock is emerging as a driving force in the growth of agricultural sector. Contribution of livestock to agriculture GDP has been rising steadily during the last three decades from 13.88% in 1980-81 to 27.28% in 2010-11 (BAHS 2012). About 70% population of the Country is engaged in agriculture and more than 50% of people below poverty line are associated with livestock production. India is blessed with a rich genetic resource of bovines, with an estimated number of 304.76 million (Livestock Census, 2007), which is 19% of the world. India continues to be the highest milk producing country in the world with an estimated production of 121.8 million tonnes during 2010-11 of which more than 53% is contributed by buffaloes (105.34 millions). Similarly, India ranks first in buffalo, second in cattle and goat, third in sheep, fourth in duck, fifth in chicken and sixth in camel population of the world. India is the third largest egg producer in the world (BAHS 2012). India posses a large treasure of domestic animal biodiversity with 37 breeds of cattle, 13 breeds of buffalo, 23 breeds of goat, 39 breeds of sheep, 6 breeds of horse/pony, 8 breeds of camel, 2 breeds of pig and 15 breeds of chicken registered under National Bureau of Animal Genetic Resources, Karnal.

1.    Introduction    468

2.    Biofuel Cell    470

    2.1.    Microbial-based Biofuel Cells, 471
        2.1.1.    Microbial bioreactors producing H2 for conventional fuel  cells, 475
        2.1.2.    Microbial fuel cells producing electrochemically active metabolites in  
                the anodic compartment, 476
        2.1.3.    Microbial fuel cells operating in the presence of artificial electron relays, 477
        2.1.4.    Microbial fuel cells producing electricity during wastewater treatment, 483
        2.1.5.    Microbial fuel cell producing  electricity from acetate or butyrate, 484

The world’s drylands include hyper-arid, arid, semi-arid and dry sub-humid areas where rainfall is highly scanty and variable. Droughts are common in areas / zones where water is the principal limiting factor for agriculture (https:// www.fao.org/3/t0122e/t0122e03.htm) . Dryland soils are characterized by low levels of moisture, organic matter, and biological activity, consequently such soils are very poor in fertility devoid of plant nutrients. When, these soils suffer further degradation in fertility, resulting in erosion, desertification, and salinization when crops are grown on such soils inappropriately without any scientific basis. However, the major factor limiting agricultural production on drylands is the lack of adequate moisture for crop growth or drought.

It is well recognized that sustainable management and sustainable livelihoods are inseparable. If neglected and if the present trends are not corrected in time, everyone’s future is threated. On the other hand, there is increasing recognition of living examples and demonstrated evidences of how the eco agricultural practices can help provide a solution to some of the major problems of today and tomorrow. Also, the main stream international agencies are emphasizing that agro-ecological approaches are the way forward. What the policy makers, farmers and people would like to know is How !it has been our experience that in most countries of the developing world the answer to ‘How’ of eco-agricultural is being demanded!

The science of agrometeorology has great practical utility in protection against, or avoidance of adverse climate risks of crop production. Agrometeorological information can be used in efficient land use planning, determining suitable crops for a region, risk analysis of climate hazards and profit calculations in farming, production and harvest forecasts, and in adoption of farming methods and choice of farm machinery. Meteorological instruments are the equipments used to sample the state of the atmosphere at a given time. Meteorology does not use much laboratory equipments but relies more on field-mode in situ observation and remote sensing equipments. Rain was one of the first weather parameter to be measured historically. Two other accurately measured weather-related variables are wind and humidity.

An agrometeorological observatory or station is a place where all the necessary instruments and structures are installed and maintained to observe and record the weather parameters at stipulated time interval.

Monsoons are vital atmospheric circulations that govern the climate and livelihoods of vast populations across the globe. Characterized by seasonal reversals in wind direction and associated shifts in precipitation patterns, these systems are critical for agriculture, water resources, and overall socio-economic stability in many regions. However, the delicate balance of monsoon systems is increasingly threatened by climate variability, leading to significant disruptions and challenges, particularly in the form of severe droughts. Recent years have witnessed the devastating impact of drought in numerous monsoon-dependent regions across the world. In India, heavily reliant on the summer monsoon, failures have caused significant water shortages and poor crop yields, particularly in vulnerable regions like southeastern Maharashtra and Rajasthan. The consequences extend to groundwater depletion and increased irrigation demands. The impact of recent droughts is not limited to Asia. The African continent has also faced severe consequences. The Horn of Africa experienced a particularly devastating drought from October 2020 to 2023, resulting in widespread harvest failures, livestock losses, and displacement, marking the worst drought in four decades. West Africa has similarly suffered from frequent droughts causing crop failures, rising food prices, and exacerbating income inequality. South America, too, has experienced significant impacts. Argentina faced a severe drought in late 2022 and early 2023, halving wheat and soy harvests and impacting exports. In Uruguay, this drought led to a lack of access to drinking water for thousands. Brazil has seen harvest failures and reduced agricultural GDP due to drought, also threatening its hydroelectric power generation. Furthermore, the Amazon rainforest has been affected by intensifying droughts, leading to increased tree mortality, a higher risk of forest fires, and significant impacts on biodiversity and local communities due to drastically reduced river levels. Recent years have witnessed the dual impact of extreme weather events in numerous monsoon-dependent regions. In India, while facing drought in many areas, heavy monsoon rains have also caused catastrophic flooding. In July 2021, the coastal regions of Maharashtra experienced severe flooding affecting millions and causing hundreds of deaths. Major events like the 2022 Assam floods and the 2023 North India floods further exemplify the destructive potential of intense monsoon rainfall. The African continent also experiences significant flooding during its monsoon seasons. In 2024, West and Central Africa, including countries like

5.1    Global Food Production
    5.1.1    Area Under Cultivation
    5.1.2    World Food Production
    
5.2    Variability in Global and Indian Food Grain Production
    
5.3    Impact of Phenomenal Drought During 2009 on Food Grain Production in Different Countries
    
5.4    Impacts on Livestock and Fisheries
    5.4.1    Livestock
    5.4.2       Milk Production
    5.4.3    Fisheries
    
5.5    Estimation of Food Grain Production in India using Rainfall indices
    5.5.1    Trend in the annual food grain production
    5.5.2    De-trended production index
    5.5.3    Construction of rainfall indices (RI)
    5.5.4    Development of model for estimation of production index
    5.5.5    Verification of model performance
    5.5.6    Estimation of Kharif Price Production
    
5.6    Forecasting of Agricultural Output Using Space, Agrometeorology and Land based Observation (FASAL)
        
References

7.1 The purpose and type of models

Sometimes the simplest way to estimate the effect of a physical process is to use an established equation, or formula, or charts and diagrams based on existing knowledge. The current fashion is to call such aids and solutions models, and they tend to become increasingly complicated and consequently dependent on computers to handle the mathematical processes.

It is important to identify the exact objective and purpose of models which are designed to estimate soil erosion. Two main divisions are models for prediction and models to assist with explanation. If the purpose is to predict amounts of erosion under alternative management practices then empirical models such as the USLE are efficient and effective. For an understanding of the processes of erosion it is necessary to turn to physically-based or deterministic models. The two objectives should not be cross-threaded onto the wrong kind of model, i.e. the USLE should not be seen as a vehicle for research studies on the mechanics of erosion. Neither should sophisticated simulation models be used as the basis for evaluating conservation practices which are better designed on the basis of experience, and evaluated by direct testing in the field.

The different kinds of models need a short explanation:

An empirical solution or model is one based on observation or experiment, and not derived from theory. It fits observed facts, and allows us to predict what will happen in certain circumstances, because we know what has happened before in those circumstances. The reliability of such methods depends on the database of experience: we might say This will certainly happen’ (because it always does), or “Will probably happen’ (because it usually does), or ‘it may happen’ (because it sometimes does). An empirical solution may be a simple approximate relationship or a complex multiple regression equation.

Introduction

In Indian agriculture, horticulture sector has made considerable progress after independence and as a result, horticulture has emerged as one of the major drivers of growth in the agricultural and allied sector. The horticulture sector includes large number of crops viz., fruits, vegetables, ornamental crops, spices, tuber crops, plantation crops, medicinal and aromatic crops, mushroom and their post harvest management. On the production and productivity front, the horticulture sector outperformed conventional food crops. Between 200405 and 201415, horticultural output achieved an annual growth of about 7 per cent as compared to around 3 per cent growth in food grain production. This increase in production has come from an increase in acreage and even larger increase in productivity. Over the last decade, the area under horticulture grew by about 3% per annum and annual production increased by 5.4%. Thereby, India has maintained its second rank in the global production of fruits and vegetables, next only to China. India’s fruit productivity is better than that of China, though China is the largest fruit producing country.

The country is currently producing 295.2 million tonnes of horticulture produce from an area of 24.9 million hectares, which has surpassed the estimated food grain production of 275.68 million tonnes (201617). Though the production of food grains and horticultural produce are not meaningfully comparable due to fundamental differences in resource requirements, their farming practices, characteristics of produce and most importantly, their nutritional and medicinal properties as well as energy value. The special attention was given to the this sector, especially after the introduction of the Horticulture Mission for North East and Himalayan States (HMNEH) and the National Horticulture Mission (NHM) during 11^th Plan period, owing to bumper fruit production. Given the increasing pressure on land, growth strategies have been focusing on raising productivity through high density plantations, protected cultivation, micro irrigation, quality planting material, rejuvenation of senile orchards and an emphasis on post harvest management and marketing of produce for better price realization.

Abstract

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

Keywords : Management zones, soil variability and Remote Sensing

The demand for lightweight, high-performance, and environmentally responsible materials is particularly strong in automotive, aerospace, and defence applications. This chapter examines biomass-derived green nanocomposites as potential materials for lightweight systems and energy-storage-related applications. It discusses material fundamentals, design requirements, sector-specific performance expectations, material systems, and performance benchmarks. Green processing and circular economy integration are considered alongside current technological challenges and strategic research gaps. Biomass-derived resources provide opportunities to reduce dependence on non-renewable feedstocks while developing functional composite materials. The chapter emphasizes the need to balance lightweight design, mechanical and functional performance, manufacturing feasibility, sustainability, and end-of-life considerations for demanding engineering applications.

Introduction 
As we have journeyed through the preceding chapters, meticulously examining the foundational understanding of crop-weather interactions, the sophisticated development of crop simulation models and decision support systems, the invaluable contributions of indigenous technical knowledge, and the systematic formulation of precise and customized agroadvisories, we now arrive at the decisive stage of this entire endeavor of dissemination of Agromet Advisories. The profound scientific insights and meticulously crafted recommendations, no matter how accurate or relevant, remain inert unless they effectively reach the hands, ears, or screens of the farmers who need them most, in a format they can readily understand and apply. This chapter, therefore, is dedicated to unraveling the complex, yet essential, process of ensuring that crucial agrometeorological information successfully traverses the last mile to translate into tangible impact on agricultural practices and outcomes across diverse landscapes. The challenge of effective dissemination extends far beyond a simple broadcast; it necessitates the establishment of a robust, dynamic, and multichannel communication ecosystem. This ecosystem must be meticulously designed to account for the rich tapestry of socio-economic, technological, and literacy disparities prevalent within farming communities. Historically, traditional methods such as the communal gathering around a radio for a farmer‘s bulletin or face-to-face discussions during village meetings formed the bedrock of knowledge transfer, leveraging established social networks and widely accessible, albeit low-tech, communication tools. However, the relentless march of the digital revolution has fundamentally reshaped this landscape, unveiling an unprecedented potential for expansive reach, enhanced personalization, and rapid delivery of information, thereby opening a myriad of new avenues for disseminating critical advisories with remarkable speed and specificity.

Small cardamom (Elettaria cardamomum Maton), popularly known as the “Queen of spices”, occupies an important position among the foreign exchange earning commodities. Cardamom is cultivated on a commercial scale in Sri Lanka, Guatemala, Tanzania and Papua New Guinea. Guatemala is the largest producer of cardamom in the World. In India, it is confined to the States of Kerala, Karnataka and Tamil Nadu, accounting for an area of 41588 ha, 25021 ha and 4561 ha, respectively (Spices Board, 2009). Among these States, Kerala accounts for the major portion of production (58.4 %), followed by Karnataka (35.2 %) and Tamil Nadu (6.4 %). In Kerala, Cardamom is mainly grown in the erstwhile Travancore area in the present Idukki district and it is known as the Cardamom Hill Reserve (CHR), which was specially reserved, denotified and removed from the control of forest development by the orders of the Travancore Government. By a Royal Proclamation in Medam 997(ME) 334 square miles (86,506 ha) area in Devikulam, Udumbanchola and Peermedu taluks of the present Idukki District was declared as CHR for the promotion of cardamom cultivation (Miniraj and Nybe, 2007). Cardamom is a native of the moist evergreen rain forests of the Western Ghats of South India and is grown extensively in the hilly regions at elevations of 700 to 1300 metres as an under crop in forest lands. Cardamom thrives well within certain thermal regimes. It is believed that diurnal symmetries in temperature trends, if any, have close links with the changes in cloudiness, humidity, atmospheric circulation pattern, winds and soil moisture (Kumar et al., 2002).

Introduction

India is the seventh-largest country in the world, with a total area of 3,287,263 square kilometres, roughly 2.5 percent of global landmass but is home to 17.9 percent of global human population and 1/5 of the livestock. Most of this increase in human population has occurred in second half of 20th century. Similarly, India has the highest number of cattle (210.2 m), buffaloes (111.3 m) and goats (150.4 m) in the world. It ranks second in sheep (74 m), fifth in chickens (866 m) and sixth in ducks (26 m). The increased population and associated increased demand of resources has led to significant impact on land use-land cover and has consequence in negatively impacting various ecosystem services i.e., hydrology, soil conservation, wildlife support, biodiversity and environmental protection, these agroforestry systems used to provide. Agroforestry has traditionally been a way of life and livelihood in India for centuries. Now it is a modern science inviting deliberate management of trees on farms and surrounding landscape (Bargali et al. 2009; 

Abstract

The landslides have become the fast spreading disaster all over the Indian sub-continent. As such landslides were mostly occurring in the Mighty Himalayan Mountains, it was all along attributed to active tectonics. But when it started occurring in most of the mountain belts of India, various geological parameters, the anthropogenic phenomenon and rain fall were inferred to be the main causes for the landslides. Hence when this concept emerged, and again the Remote Sensing and the GIS technologies have phenomenally evolved, different types of variables, again on different resolutions and different methodologies have been adopted to prepare landslide vulnerability maps and this has started yielding varying types of outputs. As the landslide vulnerability zonation mapping (LVZ) is the first step in landslide studies it is essential to evolve a suitable methodology for the same. So the present study was carried out in a test site of around 300 sq.km in between Coonoor and Otacamund, Nilgiri mountains, Western Ghats, South India. In the said study, a set of 12 Earth System Parameters/Variables which could contribute to landslide vulnerability were prepared as GIS raster databases from the data interpreted from satellite MSS data and field geological and geophysical data sets. Similar GIS database was generated on 144 landslides. These landslides were superposed over such 12 Earth system parameters data and landslide vulnerability weightages were assigned to each subvariables of these Earth system parameters. In assigning weightages using such landslide incidence data various methods viz; slope, integrated terrain, information value, weight of evidence, index overlay and BIS methods were used and landslide vulnerability zonation maps were prepared adding all the 12 weightages assigned Earth system variables. In this, all the 12 earth system parameters were having same resolutions. Then the outputs were compared which revealed that the information value method is the best suited method for LVZ mapping followed by weight of evidence method.

In the last chapter, we have broadly introduced the concept of tracer hydrology and also the concepts of isotopes as tracers, their characteristics and measurement techniques. In this chapter let us see the basis of application of each group of isotope tracers, injected and environmental.

What are the different groups of isotope tracers used in hydrology and how are they classified?

Definitions: Before starting the chapter, it is better to understand the basic definitions of the terms commonly used in this chapter.

Waste: Waste is any material or object which is discarded after its primary use by its holder. A holder means the person who produces and keeps the waste.