eChapters

Agroclimatology plays a vital role in the cultivation and production of creeper vegetables in India. Creeper vegetables, such as cucumber, bitter gourd, and bottle gourd, are an essential part of Indian cuisine and are grown extensively throughout the country. With its diverse climate and geographical conditions, India offers a suitable environment for the growth of a wide range of creeper
vegetables.
In terms of area and production, creeper vegetables account for a significant share of the total vegetable production in India. According to the Ministry of Agriculture and Farmers Welfare, Government of India, the area under creeper vegetable cultivation has been increasing steadily over the years, with a corresponding rise in production. This trend is attributed to the growing
demand for these vegetables, both domestically and internationally.
Creeper vegetables are not only an important source of nutrition but also contribute significantly to the country’s economy. They are a vital source of income for many small and marginal farmers, who cultivate these crops on a large scale. Moreover, the export of creeper vegetables earns significant foreign exchange for the country.
The importance of creeper vegetables in India can be gauged from the fact that they are an integral part of various traditional and cultural festivals. For instance, bitter gourd is considered a auspicious vegetable in many Indian communities and is often prepared during special occasions.

Introduction Soil, often referred to as the “skin of the earth,” is a critical component of our planet’s ecosystem, serving as the foundation for all terrestrial life. This chapter explores the science of soil, delving into its formation, classification, and the complex properties that define its role in agriculture and environmental sustainability. Understanding soil is fundamental to addressing global challenges such as food security, climate change, and sustainable land management. The chapter begins with an examination of soil formation and classification, providing insights into the diverse types of soils that exist across different landscapes. It then discusses the physical and chemical properties of soil, including their impact on soil health and fertility. The role of soil microbiology is highlighted, emphasizing the importance of microorganisms in maintaining soil health and promoting plant growth. As we progress through the chapter, we explore modern concepts in soil science, including sustainable soil management practices and their significance in mitigating the effects of global warming. The chapter also addresses the crucial role of soil in food security, demonstrating how effective soil management can enhance agricultural productivity and resilience in the face of climate change. Finally, the chapter touches upon the threats to soil health and the importance of sustainable soil management in ensuring a prosperous future for all. Soil science is a vital discipline within agriculture that focuses on the study of soils and their properties. This chapter delves into various aspects of soil science, including soil formation and classification, soil physical and chemical properties, soil fertility and nutrient cycling, soil conservation and erosion control, and soil microbiology and soil health. Soil is the foundation of agriculture, providing the medium for plant growth and supporting the intricate web of life that sustains our ecosystems. Understanding the science of soil is essential for optimizing crop production, protecting natural resources, and ensuring sustainable land management practices. In this chapter, we will explore the fascinating world of soil science, delving into its various aspects to gain insights into soil formation, composition, fertility, and conservation. By understanding the principles and processes underlying soil science, we can make informed decisions to enhance soil health, maximize nutrient availability, mitigate erosion, and promote sustainable agricultural practices.

Root-type vegetables are a diverse group of underground plant structures that are edible and serve as a vital source of nutrition for humans. These vegetables can be further categorized into two main types: true roots, such as carrots, beets, turnips, and radishes, which are modified taproots that store food; and tuberous roots, such as Potatoes, sweet potatoes and yams, which are modified
stems that store food. A root is a compact, often enlarged storage organ with hairy stems that develops from root tissue. So a tuber is a root crop, but a plant can be a root and not a tuber. Carrots and cassava are root vegetable crops. Potatoes, sweet potatoes and yams, on the other hand, are edible tuber crops (Fig. 5.1).
The primary difference in propagation lies in the plant part used: tubers, like potatoes, are propagated from modified stems or roots with “eyes” (nodes) that sprout, while root crops, like carrots, are propagated from seeds or root cuttings, as their roots don’t have these propagation points. Another major difference is that tubers will have long shelf life compared to roots.
• Tubers
• Origin: Tubers are modified stems or roots that store nutrients.
• Propagation: They can be propagated vegetatively by using pieces of the tuber that contain “eyes” (nodes) which sprout and grow into new plants.
• Examples: Potatoes, sweet potatoes, and cassava.

5.1. Introduction

Rice-fallows are a rainfed rice mono-crop production system, where only a single crop (rice) is grown and these lands remain without any crop for the rest of the period of the year (fallow). An estimate shows that rice-fallow areas extended over 22.3 M ha in South Asia, maximum in India ( 88.3%) followed by Bangladesh (8.7%), Nepal (1.4%), Sri Lanka (1.1%), Pakistan (0.5%), and Bhutan (0.02%) (Gumma et al., 2016). The eastern part of India accounts for ~ 84% (9.7 million ha) of the country’s total rice-fallow area (i.e. 11.7 million ha) (Ali et al., 2014; Singh et al., 2017), despite high rainfall during rainy / monsoon season. The reasons are that after the rainy season, irrigation facilities are lacking, very fast depletion of the soil residual moisture due to temperature rise, the poor economic condition of the farmers, and a lack of awareness or knowledge of available technologies. Additionally, delayed harvesting of long-duration rice (150-160 days) results in late sowing of winter crops, which, in turn, exacerbates the temperature and moisture stresses in winter crops (Kumar et al., 2018a; 2018b). Overall, the challenges of growing another crop in rice-fallow areas are the lack of irrigation facilities including declining groundwater levels, the dominance of the long-duration rice varieties cultivation, higher evaporative loss of the residual soil moisture, degradation of soil quality, and poor financial conditions of the farming community with diminishing profit. Recently, climate change with erratic rainfall and delayed monsoon arrival added more challenges for these areas in several places. Deficit soil moisture imposes stress on the crops and negatively affects the winter crops productivity in the rice-fallow system, and several times it results in complete crop failure (Singh et al., 2012; Ghosh et al., 2016).

Introduction 
In a time when the world is in dire need of sustainable energy solutions, investigating biofuels becomes an essential path to supplying the always expanding supply[1]. This book chapter explores the dynamic world of solid and liquid biofuels, providing a thorough analysis of their properties, methods of production, uses, and wider ramifications in relation to renewable energy sources. Setting the scene, the introduction clarifies the role of biofuels in the larger context of renewable energy. Exploring solid and liquid biofuels becomes critical as the globe struggles with issues like climate change, depleting fossil fuel reserves, and the need to switch to cleaner energy sources[2]. These biofuels, which are defined as energy carriers made from biomass, offer a viable substitute and have the capacity to both reduce environmental impact and promote energy security. As the chapter progresses, biofuels are divided into two main categories: liquid and solid. Biofuels that are solid, such as wood, agricultural leftovers, pellets, and briquettes, serve as a starting point for investigating alternative energy sources. This section walks readers through the complexities involved in producing solid biofuel, including harvesting, pre-treatment, and creative pelletization methods. By doing this, it highlights the renewable nature of solid biofuels and their ability to lower greenhouse gas emissions, highlighting their benefits for the environment. Simultaneously, difficulties associated with its application, ranging from administrative worries to land use issues, are examined closely. Turning its attention to liquid biofuels, the chapter tells the story of ethanol, biodiesel, and advanced biofuels. By examining the choice of feedstock, manufacturing procedures, and real-world uses, it highlights the adaptability of liquid biofuels in the energy system. Although they are not without difficulties related to land use, food production, and water use, their ability to function with current infrastructure and their critical role in improving energy security stand out as distinguishing characteristics[3].

8.1 Economic Geology and Ore Mineralogy

8.1.1 Economic geology

Economic Geology deals with the comprehensive study of mineral deposits including their processes of formation and uses. By applying the principles of geology, a mining engineer is able to exploit such deposits profitably for the use of Man.

8.1.2 Ore mineral

An ore is a term applied usually to that part of a metalliferous mineral deposit that can be utilized profitably as a source of one-or-more metals, this term now is widely used for the usable part of many non-metallic (non-metalliferous mineral) deposits, like barite, fluorite, sulphur, etc.

8.1.3 Gangue mineral

An ore is usually a mixture of one or more usable minerals (ore minerals) and one or more unusable minerals (gangue minerals). The usual gangue minerals are quartz and other forms of silica, calcite, dolomite, siderite, barite, feldspars, garnet, chlorite, kaolin, fluorite, apatite, pyrite, pyrrhotite, arsenopyrite, and sometimes the gangue material is the country rock or host rock itself in which the ore minerals occur. Sometimes, the gangue minerals may also be utilized as by-products of the ore deposit. The nature and proportion of the gangue influence the economic value of an ore to a great extent.

4. Research Setting
Research setting presents the set of an ecosystem, here social-ecological systems, where the variables and characters are created, evolved, characterized and interact with others. Research setting is not a stale or lentic ecosystem rather it is agile, evolving and dynamic, so in this present work, we have perceived research setting as the performing social-ecology which sustains and keeps constantly characterizing the behaviour and dynamics of the variables under study, e.g. a settlement in close proximity to natural water body is expected to have interaction with ethiophonal diversity and performing economy therewith similarly, another set of respondents with the same set of variables but living in a forest ecosystem. The interaction and exposition of the variables will follow a different expression and pathway. So, while we will go for modelling, with the same set of variables but in different ecological set up, it is expected that the nature of interaction and expression will follow the unique characters of the concerned ecosystem.
4.1. Area of Study
The area of investigation of this study is situated in the state of West Bengal located in the eastern part of India. The state of West Bengal in eastern India has unique social and ecological backgrounds which influence the living standard and behavioural patterns of the people in many ways. The present research design has accommodated two agro- ecological set ups in West Bengal, India, and these are New Alluvial and Terai zone.

3.1 Conceptual Framework

Aconceptual framework is an analytical tool that is used to get a comprehensive understanding of the study. It embodies the specific direction by which the research will have to be undertaken. It is generally constructed to provide the researcher the element ofattainable and researchable problems and ideas supported by methodology, design, prospective analysis and empirical conclusion. The conceptual framework is often called as the research paradigm.

The subject matter of the present research is Resilience and productivity of agriculture in different social-ecology: the farmers’ perception, status and interpretation. It is expected that the terminologies and concepts used to frame up the topic need to undergo brief explanation for the better understanding of its meaning.

Resilience: Resilience is about anticipating, planning and reducing disaster risk to effectively protect persons, communities and countries, their livelihoods, health, cultural heritage, socio-economic assets and ecosystems. The ideas of ‘bounce back’, ‘spring forward’ and ‘build back better’ are often used in the context of resilience.

Productivity: Productivity is commonly defined as a ratio between the output volume and the volume of inputs. It measures how efficiently production inputs, are being used in an economy to produce a given level of output.

Agriculture: The word agriculture derives from the Latin ager (field) and colo (cultivate) signifying, when combined, the Latin agricultura: field or land tillage. But the word has come to subsume a very wide spectrum of activities that are integral to agriculture and have their own descriptive terms, such as cultivation, domestication, horticulture, arboriculture, and vegeculture, as well as forms of livestock management such as mixed crop-livestock farming, pastoralism, and transhumance. The Oxford English Dictionary (1971) defines agriculture as “The science and art of cultivating the soil, including the allied pursuits of gathering in the crops and rearing livestock; tillage, husbandry, farming.”

In any social science research, it is hardly possible to conceptualize and perceive the data and interpret the data more accurately until and unless a clear understanding of the characteristics in the area and attitude or the behavior of people is at commend of the interpreter who intends to unveil an understanding of the implication and behavioral complexes of the individual who live in the area under reference and form a representative part of the larger community. The socio-demographic background of the local people in a rural setting has been critically administered in this section. A research setting is a surrounding in which input and elements of research are contextually imbibed, interactive and mutually contributive to the system performance. Research setting is immensely important in the sense because it is characterizing and influencing the interplays of different factors and components. Besides the investigators must also have the basic knowledge about the socio demographic background of the people so as to have an easy understanding of their knowledge, attitude and behavior.

Research setting refers to the detail information of an area where the study has been conducted. The study area, generally comprises of a particular geographical area viz. a state, district, block, or gram panchayat area selected according to the convenience of the investigator who possess adequate knowledge regarding the location, communication facility etc. of the locality so that he/she can easily approach each and every corner of the area for data collection. Here. in this study the data collection was done mostly over telephone based on the interview schedule due to Covid-19 pandemic situation.

1.     Introduction    424

2.    Conventional Methods of Hydrogen Production    426

3.    Biological Methods of Hydrogen Production    429

    3.1.    Hydrogen production by biophotolysis of water, 430
        3.1.1. Photolysis by cyanobacteria (Blue green algae), 430
            3.1.1.1. Nitrogenase dependent hydrogen production, 434
            3.1.1.2.  Hydrogenase-dependent hydrogen production, 437
            3.1.1.3.  Factors affecting  hydrogen production by cyanobacteria, 440
            3.1.1.4.   Bioreactors for cyanobacterial hydrogen production, 443
            3.1.1.5. Future prospects for cyanobacterial hydrogen production, 446

1.    Introduction    496

2.    Strain Development Technologies    496

    2.1.    Screening of natural variants of microorganisms, 496
    2.2.    Genetic manipulation of microorganisms, 498
        2.2.1.    Random mutagenesis and selection, 498
        2.2.2.    Conjugation, 504
        2.2.3.    Transduction, 504
        2.2.4.    Transposition, 506
        2.2.5.      Hybridization, 507
        2.2.6.    Rare Mating, 509
        2.2.7.    Cytoduction, 510
        2.2.8.    Protoplast fusion, 511
        2.2.9.    Transformation, 511
        2.2.10.    Gene cloning and transformation (Recombinant DNA technology), 513

Rainfall, runoff, evaporation, and other hydrological variables exhibit considerable natural uncertainty and therefore cannot be treated as entirely deterministic phenomena. Statistical and probability methods make it possible to organize observations, describe their variability, identify relationships, estimate extreme events, and predict values associated with selected probabilities. Hydrological data may be analysed daily, weekly, monthly, seasonally, or annually and expressed through averages, maxima, minima, dispersion, skewness, and frequency. This chapter introduces statistical terminology, correlation, regression, probability distributions, plotting positions, goodness-of-fit tests, model-evaluation tools, reliability, standard error, and risk analysis. These techniques are essential for flood-frequency analysis, planning, and hydraulic design.

Climate change refers to long-term shifts in temperatures and weather patterns. These shifts may be natural, such as through variations in the solar cycle. But since the 1800s, human activities have been the main driver of climate change, primarily due to burning fossil fuels like coal, oil and gas. (https://www.un.org/ en/climatechange/what-is-climate-change) While it is possible to achieve enhanced food production to meet the demands of growing populations, the prevailing negative environmental trends, if continued, might cause crises in many parts of the world (Molden, 2007). The effects of climate change on agriculture can take place through changes in average temperatures, rainfall, and climate extremes (e.g., heat waves); changes in pests and diseases; changes in atmospheric carbon dioxide and ground-level ozone concentrations; changes in the nutritional quality of some foods; and changes in sea level. (Anonymous, 2014A)

Maps make it easier to interpret and communicate the results of any GIS analysis. R has a large number of packages for making thematic maps. Static mapping is straightforward with plot()methods provided by core spatial packages sf and raster. The use of plot() function have been discussed in the previous chapters. Another package for mapping isspwithspplot() having enough options for producing good quality thematic maps.It is also possible to create advanced maps using ggplot2. This chapter discusses, separately, preparing thematic maps from vectors and rasters with the above mentioned packages. A dedicated map-making package tmaphas been given special focus in this chapter.

This chapter focuses on presenting empirical findings from data analysis to provide sufficient interpretation so to draw reliable conclusions. To enhance and complement the textual contents of the study, tables and models are frequently utilized. Additionally, the discussion serves to contextualize the study’s findings and establish connections with the research work.

Result: The Table 13 depicts the distributive characteristics of the variables for the 90 respondents under the study.

Revelation: The pattern of distribution of the variable, Age (x1 ) depicts that the maximum age of the respondents is 70 and the minimum is 26. The mean value of age of the respondents is 42.98 with standard deviation of 10.77. The distribution of the variable is strongly consistent with a CV value of 25.06 per cent.

The pattern of distribution of the variable, Education (x2 ) depicts that the maximum education of the respondents is 5 and the minimum is 2. The mean value of education of the respondents is 4.09 with standard deviation of 0.82. The Coefficient of Variation is 19.96 per cent which indicates the distribution of variable is highly consistent.

Damage to arable land tends to attract most attention but degradation of non-arable land can also have serious effects, whether economic, or social, or on the food supply. In dry seasons, loss of grazing capacity is a common and serious problem, forest land may suffer through over-exploitation, roads can cause much damage particularly on steep land. In this chapter we will look at the more important erosion problems on non-arable land.

13.1 Erosion on grazing land

On well-managed high-yielding pasture it is unlikely that there will be any erosion, for the ground will have a good uniform cover. But land which is not arable because it is too poor, too infertile, too stony, or too arid, and is only described as grazing land because it is unfit for more intensive use, is a very different matter. Again, erosion control can be directly and precisely equated to improved management - anything leading to a better water balance and a better ground cover will lead to reduced erosion.

19. PHYSICAL PROPERTIES OF MINERALS

Def : The minerals are naturally occurring solid bodies having definite chemical composition and certain atomic arrangement, and are formed by inorganic processes in the nature.

All the minerals possess certain physical properties which are considered as follows.

1.Characters depending upon light such as colour streak, luster, transparency, translucency, phosphorescence and fluorescence.

2.Characters depending upon certain senses such as taste, odour and feel.

3.Characters depending upon the atomic structure and state of aggregation such as form, hardness, tenacity, fracture, cleavage and surface tension effects.

On the basis of these three characteristics, the minerals are identified and distinguished.

Kerala, popularly known as the God’s own country, is situated at the southern tip of India between latitude range 8°15‘ N to 12°50’ N and 74°50’ E to 77°30’ E longitude. The State is graced with 44 rivers and numbers of streams and has rich biodiversity and tropical rain forests spread in 13 agro-ecological zones under humid tropics. Kerala is the Gateway of monsoon in India. Though Kerala is identified as Plantation State, the major staple food is rice. The annual rainfall in Kerala is about 2.7 times the national average. More or less assured amount of rainfall is being received in almost every year over the State, though inter-annual variability is felt more in recent decades. Uncertainties in rainfall are also felt much in the recent decades. Droughts during summer and floods during rainy season are frequent. Natural disasters like landslides/mud slips during rainy season are common across the mid and high lands of Kerala as the intensity of rainfall is high. Atmospheric temperature across the State is increasing. 1983 was a disastrous drought year in Kerala. The severe summer affected the State’s plantation crops economy to a considerable extent. Insignificant rainfall led to the severe summer drought during 1982–83.

Introduction
Having meticulously explored the foundations of crop-weather interactions, the development and validation of crop growth models, the wisdom embedded in Indigenous Technical Knowledge, and the systematic organization of Crop Weather Calendars, we now arrive at the culmination of this knowledge synthesis: the Agroadvisory Based on Weather Forecast. This chapter delves into the critical process of transforming raw meteorological data and scientific understanding into actionable, timely, and location-specific advice for the farming community. An agroadvisory, at its core, is a targeted recommendation provided to farmers, guiding them on various agricultural operations by integrating current weather conditions, short- to medium-range weather forecasts, and the specific needs of their crops at different growth stages. It represents the final, practical output of complex agro-meteorological research and forecasting efforts, designed to empower farmers to make adaptive decisions that can significantly impact their yield, resource efficiency, and resilience against climatic shocks. In the upcoming sections, we will comprehensively examine the multi-faceted nature of weather-based agroadvisories. Our exploration will detail:
• The Conceptual Framework: Understanding the underlying principles and objectives of these advisories, emphasizing their shift from reactive responses to proactive planning.
• Essential Components of an Agroadvisory: Breaking down the key pieces of information typically included, such as weather forecasts (temperature, rainfall, wind, humidity), crop-specific phenological stages, potential risks (pests, diseases, extreme weather), and precise recommendations for farm operations (sowing, irrigation, fertilization, pest control, harvesting).

Climate Smart Agriculture (CSA) is an integrated approach to managing landscapes—cropland, livestock, forests, and fisheries—to address the interlinked challenges of food security, climate change adaptation, and mitigation [FAO, 2023]. In the context of the Centre on Integrated Rural Development for Asia and the Pacific (CIRDAP) Member Countries, which span diverse agro- ecological and socio-economic landscapes across South Asia, Southeast Asia, and the Pacific, CSA emerges as a pivotal strategy for fostering climate- resilient rural development [CIRDAP, 2023]. These countries, including Bangladesh, India, Indonesia, Pakistan, Vietnam, and others, face significant climate vulnerabilities such as rising temperatures, erratic rainfall, extreme weather events, and sea-level rise [IPCC, 2022]. CSA offers a framework to enhance agricultural productivity, strengthen resilience, and reduce greenhouse gas emissions, aligning with the region's Sustainable Development Goals (SDGs) and rural livelihoods improvement [UN, 2023]. The contribution of agricultural GHG emissions