eChapters

Introduction
1.1 Definition of Smart Energy Management (SEM)
Smart Energy Management is a smart practice that utilizes evolved and improved technologies for the analysis and enhancement of the energy systems in real-time. The main aim is to make energy production, distribution, and consumption more profi cient, affordable, and sustainable. SEM also focusses on minimizing the waste generated and environmental effects (Kataki et al., 2017). By the combination of advanced technologies such as Internet of Things (IoT), Artifi cial Intelligence (AI), Machine Learning (ML), optimization and transformation of bioenergy systems can be effectively achieved. This technology can also be used to monitor and control the bioenergy systems actively so as to complement the prerequisite of the implementation and operations in bioenergy plants successfully (Syed, 2024). The era of increased need for the renewable sources and alarming issues of climate alteration calls for the innovative energy management (Jones, 2017). It emphasizes the demand for SEM in bioenergy systems ensuring the production of sustainable, eco-compatible and structures bioenergy system. This chapter foreground the top causes for which SEM to be more vital for the future bioenergy prospects.SEM enables real-time monitoring and optimization which allows bioenergy plants and their production of energy according to the demand, weather conditions and availability of the feedstock (Swami et al., 2023). SEM also generates the way to regulate bioenergy systems to facilitate the cost, performance, and energy conversion efficacy by utilising sensors, statistics and cloud computing (Fig 1). The integration of SEM with bioenergy is specifically relevant because of the variable and complicated nature of biomass feedstocks which include forest and agricultural residues, and food waste (Rodrigues et al., 2022, Duca and Tascano, 2022). The variations such as, moisture, quality and energy density show the effect on the efficiency in the production of bioenergy. Smart technologies are used to monitor as well as optimize the energy production along with the real-time fluctuations in response to the demand, feedstock availability and its supply (Hao et al., 2022)
1.2 AI (Artificial Intelligence) ML (Machine Learning) and IoT
There are two major emerging technologies named AI and ML which have transformed SEM for bioenergy systems. These technologies ease predictive analytics, decision making and enhanced simple processes. By analysing the massive datasets gathered from bioenergy operations, AI systems are able to forecast future energy output, system efficacy and operational damage (Saju et al., 2025). Utilizing real-time data feed such as pH range, composition of feedstock, temperature etc, AI systems incorporated with bioenergy plants can forecast biogas generation in and anaerobic digestion system (Barasa, 2021). Algorithms of ML in SEM helps in analysing and enhancing decision making process by both live and historical data. It predicts the forecast pattern in energy output and modify the operational parameters. Consequently, through a continuous learning process over time, the forecast prediction and bioenergy system are becoming more and more efficient (Khan et al., 2022). Bioenergy systems such as feedstock transport, conversion processes, and energy distribution can have real-time data which are collected by IoT technologies, constituting sensors, actuators and other connected devices (Ahuja and Khosla, 2019; Wang et al., 2022). Intelligent energy management systems utilizing IoT and AI technologies can greatly improve the efficiency of energy distribution and use, contributing to more sustainable urban environments. According to Liew et al., 2021, sensors are the source of valuable insights for the operation of bioenergy because it helps the operators in make decisions about system performance and efficiency and gain a better knowledge of the system functions. Sensors are installed in bioenergy facilities to provide continuous monitoring of information such as temperature, moisture content, pressure, and gas composition using IoT. Figure 2 depicts the significance of AI, IoT and ML in renewable energy.

Abstract

The development and management of fresh groundwater resources in coastal aquifers are seriously constrained by the impact of seawater intrusion. The coastal aquifers are fragile and this situation becomes more intense like that of the coastal Cuddalore region. The geochemical signature of groundwater of Cuddalore coast was studied for Pre Monsoon, Southwest, North east and Post Monsoon seasons by collecting total of 64 groundwater samples in each season. The collected samples from were analysed for physical parameters, such as electrical conductivity (EC), pH and major ion concentrations, such as Ca, Mg, Na, K, Cl, HCO₃, PO₄ and SO₄. Interpretation of analytical data shows the predominance of  Na–Cl type   in PRM and Ca- Mg-Cl type  is the dominant facies during POM. The Chaddas evaluation diagram shows that the hydrogeochemical evaluation plot for PRM samples fall in  Na-Cl type. The ratios of Na/Cl and Cl/HCO₃ is also enumerated the fact that the most of the samples from PRM and few samples from other seasons also indicates dominance of salt water intrusion.

“Hydrology is the science that treats the waters of the earth, their occurrence, circulation and distribution, their chemical and physical properties, and their reaction with their environment, including their relation with living things. The domain of hydrology embraces the full life history of water on the earth.” (Federal Council for Science and Technology, “Scientific Hydrology”, Washington, 1962)

This definition puts in a nutshell what is most often inadequately done before undertaking exploitation of water resources. In short, it is the scientific inputs that are likely to be missed while planning water resources management projects. It is the “full life history of water” part of the above definition that is of specific relevance to the theme of this book, Isotope Hydrology.

Conventional hydrology is strong on measurement and quantification of different parts of the hydrological cycle (Fig.1.1), be it precipitation, run-off, evaporation, transpiration, infiltration, groundwater dynamics etc. Through chemistry and isotopes, we try to understand the processes themselves in order to delineate the history of that part of the hydrological cycle that is being studied. For example, if we are measuring river flow, we would like to know the contribution of different components; base flow, rainfall run-off and snow melt, if any.

Let’s see what we know and what do not know in the conventional hydrological practice. We know surface waters evaporate, form into clouds and precipitation occurs under favourable weather conditions. What we often do not know is the source of moisture, oceanic or inland.

Introduction 
The importance of climate change, sustainable development, environmental concerns, and energy needs are gaining attention more than ever. The conventional energy procedures, such as solely dependent on fossil fuels are ended with greenhouse emissions, contributing to pollution and deficiency in natural resources. To overcome these straits, bioenergy has become the sustainable and promising alternative, also offering the declining nature of dependency on non-renewable resources and parallelly providing cleaner energy options (Khalid, 2024). Mere the production of bioenergy is insufficient to address the huge energy needs of the current situation. If sustainability is to be ensured means, then effective energy management is to be ensured. The newly developed smart energy management systems improve energy production, distribution, and consumption by utilizing cutting-edge technology like artificial intelligence (AI), data analytics, and Internet of Things (IoT) devices. Smart energy management is a notion that limelight on lifting the reliability and efficiency of energy systems. With the usage of current technologies, smart energy systems can audit real-time energy use, and energy demands and manipulate the power distribution accordingly. This required to improvising the potential of renewable energy (Hossain et al., 2024). Energy recovery is defined as the reusing of energy, that has the possibility to get waste in the following forms, heat, waste materials, gas and so on. In the bioenergy industry organic waste is converted into a suitable form of energy, which gives hybrid benefits like waste reduction and energy generation. Furthermore, a highly resilient and efficient energy system that meets sustainable development goals can be created by combining these recovery systems with intelligent energy management tools (Mariana et al., 2021). The investigation of how energy recovery technologies and intelligent energy management can improve the efficiency and sustainability of bioenergy systems is covered in this chapter. The potential of smart energy solutions to meet the increasing need for sustainable and renewable energy sources will be highlighted in this research through a thorough analysis of case studies, emerging trends, and existing technologies. A roadmap for the future of bioenergy will be provided, together with an identification of the main obstacles and possibilities that players in this quickly changing industry must contend with (Naeem, et al., 2024).

Livestock farming is an integral part of crop farming and contributes substantially to household nutritional security and poverty alleviation through increased household income. Indian agriculture is an economic symbiosis of crop and livestock production with cattle as the foundation. Dairy animals produce milk by converting the crop residues and by products from crops which otherwise would be wasted. Dairy sector contributes by way of cash income, drought power and manure. Livestock provides for human needs by way of food, fibre, fuel, fertilizer, skin and traction. India has the largest livestock populations in the world. It has 57 per cent of the world’s buffalo population and 16 per cent of the cattle population. It ranks first in respect of cattle and buffalo population, third in sheep and second in goat population in the world. 70 per cent of the livestock are owned by 67 per cent of small and marginal farmers. 76 per cent of the milk is produced by weaker sections of society. Out of total livestock in the country, 37.28 per cent are cattle, 21.29 per cent are buffaloes, 12.71 per cent are sheep, 2640 per cent are goats and only 2.01 per cent are pigs. All other animals are less than 0.37 per cent of the total livestock. The species-wise breakup of livestock population in India (Table 16.1)

“Terra”per se is an extraordinarily complex, messy geophysical system with dozens of variables, most of which change in response to one another. The basic proposition behind the science of climate change is also rooted in the floral and faunal cohabiting with the Homo sapiens. Livestock and related fodder cultivation and the green waste generated in a farming enterprise are of extreme significance when we ponder over the climate change. Confusion and complacency reigns the thinking process and planning process related to climate change. Confusion in the sense, that risk communication in this regard is so placid. Complacency, we say due to the lackadaisical attitude of our policy makers. To make it very plain, fodder production sector as well as farm sector will suffer the most in Kerala for want of scientific thinking, planning and execution.

Livestock have the potential to be transformative; by enhancing food and nutrition security and providing the income to pay for education and for other needs, livestock can transform lives of many (Jimmy Smith et al., 2013). The projected growth of population is 9.6 billion in the year 2050 from the current population of 7.2billion (Gerber et al, FAO, 2013). The world demand for milk and meat in 2050 is expected to expand 58 and 73% respectively from their demand levels in 2010 (FAO, 2011). Nevertheless, the growth animal agriculture is not on par with the demand. Today, in a world of limited resources, in the face of climate change and a rising world population, a major issue is global food security (Augustine et al 2013). The key inferences of the latest approved summary for policymakers by the IPCC (2013) on climate change are 1). Warming of climate system is unequivocal and will continue beyond 2100. Global surface temperature change for the end of the 21st century is expected to exceed 1.5°C relative to 1850 to 1900 for almost all RCP scenarios 2). It is very likely that frequency of heat waves and heavy precipitation events have increased 3).

This chapter introduces non-timber forest products (NTFPs) as important biological resources supporting rural livelihoods, local economies, and forest-dependent communities. It examines the definition, scope, classification, diversity, and importance of NTFPs in India. The chapter also discusses value chains, market dynamics, trade, sectoral challenges, and constraints affecting their sustainable utilization. Particular attention is given to conservation, policy frameworks, community livelihoods, and a case study of NTFPs in Maharashtra. The chapter emphasizes the need to balance resource utilization with sustainable forest management and biodiversity conservation.

Climate change has become a global threat as its impact is evident on the Earth. In the coming decades,the severity of climate change is expected to aggravate the ecosystem. Due to its vulnerable ecosystem and geographical location, the North eastern region (NER)of India that is home to about 40 million people is considered as one of the most climate sensitive areas in the country. The NER is among India’s least developed region andscarce information is available on the impact of climate change in this region. However, initial scientific research and field observations confirm that the region is suffering from the impacts of climate change already. The region comprising 0.26 million km2area occupying 8% of nation’s territoryconsists of the states of Assam, Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Tripura and Sikkim. These states consist of a part of the east Himalayan region, which extends eastwards from Arunachal Pradesh to the Darjeeling hills of West Bengal. The entire region is a part of Indo-Burma and Himalayan hotspots i.e. characterized by rich biodiversity, heavy precipitation and high seismicity.

The climatic changes and global warming may impact the economic viability of livestock production systems in a significant manner. The possible consequences of increased ambient temperature on the livestock include reduced feed intake, reduced weight gains, lower milk production and lower conception rates during summer periods. Though animals can, to some extent, adapt to higher temperatures with prolonged exposure, the production losses are likely to be exhibited in response to higher temperature events. However, potential direct and indirect impacts of climate change on livestock production have not yet been thoroughly explored. Changes in availability and quality of fodder have also been identified as one of the major impacts of climate changes leading to lowered productivity of livestock species. Climate change could also affect the distribution of vector-borne livestock diseases. These changes occur as a result of shifts in the geographical ranges of ticks, mosquitoes, flies and other vectors.

Introduction

Global warming is a phenomenon of climate change characterized by a general increase in average temperatures of the Earth, which modifies the weather balances and ecosystems for a long time. In fact, the averages temperature of the planet has increased by 0.8° Celsius (33.4°F) compared to the end of the 19th century. Each of the last three decades has been warmer than all previous decades since the beginning of the statistical surveys in 1850. At the pace of current CO₂ emissions, scientists expect an increase of between 1.5° and 5.3°C (34.7° to 41.5°F) in average temperature by 2100 (Solarimpulse foundation, 2018). Most of the several dozens of predictive models indicate that average temperature can increase by 1.7-5.3°C, as a result of doubling CO₂ concentration within next 60-100 years. 2.3°C is a value most often mentioned what means an increase by 0.3°C a decade.

Climate change has emerged as the most pressing global challenge of the 21st century and which is one of the largest and most complex problems, the developed community has ever faced. The impacts of higher temperatures, variable precipitation, and extreme weather events have already begun to impact the economic performance of countries and the lives and livelihoods of millions of poor people. India is among the countries most vulnerable to climate change. It has one of the highest densities of economic activity in the world, and very large numbers of poor people who rely on the natural resource base for their livelihoods, with a high dependence on rainfall. By 2020, pressure on India’s water, air, soil, and forests is expected to become the highest in the world.

During the last few decades, the global agricultural production has risen and technology enhancement is still contributing to yield growth. However, population growth, water crisis, deforestation and climate change threatens the global food security.

Mizoram in North East India, is located between 21º58’ to 23º35’ N latitude and 92º15’ to 93º29’ E longitude, surrounded by Tripura, Assam and Manipur in North frontier regions; Bangladesh in west; and Mayanmar in east and south. The undulated topography of Mizoram, known as Lushai hills during British period, has varied altitudes ranging from 21 to 2157 m above mean sea level, annual rainfall of 2000-3200 mm, and mean monthly temperature of summer (monsoon) ranges from 14.6ºC to 29.6ºC. Besides having good rainfall; the vegetable production, including leaf vegetables, during winter period is limited by acute soil moisture stress caused by high rate of evapo-transpiration, almost no rain from November-March, non-availability of irrigation water and low water holding capacity of the sloppy land (Singh et al., 2011; Singh et al., 2013b).

Moisture deficit causing shortfalls in crop production is the characteristic feature of dryland agriculture. Other adverse factors viz., decline in soil fertility together with play of biotic stresses add to the complexities of dryland crop production. Added to the proven agronomic management to combat the problem of drought in dryland agriculture, there is the need to tailoring of suitable crop varieties which can yield reasonably well under conditions of moisture deficit (Varshney et al., 2021). In this context, the appropriate developmental rhythm along with the combination of the constellation of characters of the crop plant matching with the rainfall and the soil moisture availability patterns of the zone are the important considerations together with stability of yield (Hanson and Nelsen, 1980). This task being a complex one, the problem should be approached through multidisciplinary strategy that should buffer the genetic and breeding efforts.

In India since ages, the dryland farmers adopted a kind of mixed farming involving traditional annual crops and livestock consisting of one or two cows / bullocks and few poultry birds. This traditional system though of small scale provided some kind of risk minimisation particularly in the years of scanty rainfall causing agricultural drought. (https://coabnau.in/uploads/1587050523_ Agriculturalheritage.pdf) Discouraged by their marginal impact on farm economy, dryland farmers switched over to the lure of ‘productive’ mono-cropping with certain commercial crops like cotton etc. The continuous mono-cropping resulted in impoverishment of soils and low crop yields which took farmers into the labyrinth of poverty.

Introduction

Definition of ‘urban’ areas varies from country to country. Consequently, it is difficult to provide a universally acceptable meaning of the term. The difficulty has been summarised by UN (1998) as follows: “because of national differences in the characteristics that distinguish urban from rural areas, the distinction between urban and rural population is not amenable to a single definition that would be applicable to all countries” (UN, 1998). In many cases the divide between a rural and an urban area is based on the minimum population, but the number varies widely between the countries, e.g., 200 in Iceland, 2000 in some countries of West Asia, 5000 in India, and 10000 in Italy! Despite this challenge, most towns and cities are historical phenomena and have their defined administrative boundaries for services and other purposes, including municipalities. These places straight away qualify as the urban centres.

In India, the word has been defined by the Census of India (2001) as: “(a) All statutory places with a municipality, corporation, cantonment board or notified town area committee, etc.; (b) A place satisfying the following three criteria simultaneously: (i) a minimum population of 5,000; (ii) at least 75 per cent of male working population engaged in non-agricultural pursuits; and (iii) a density of population of at least 400 per sq. km (1,000 per sq. mile).” This definition was adopted for the 2011 Census.

The world’s population is projected to reach 9.7 billion by 2050, putting unprecedented pressure on the agricultural sector to produce more food while minimizing its environmental footprint. However, the increasing frequency and severity of climate-related disasters, such as droughts, floods, and heat waves, pose significant challenges to agricultural productivity and food security. To address these challenges, farmers, policymakers, and agricultural experts must adopt innovative approaches that integrate climate science, agricultural meteorology, and cutting-edge technologies to generate actionable farming intelligence. Climate science and agricultural meteorology provide critical insights into the complex relationships between weather patterns, climate variability, and agricultural productivity. By incorporating these disciplines into farming practices, farmers can enhance crop yields, reduce climate-related risks, promote sustainable agriculture, and improve decision-making. Understanding weather patterns and climate trends enables farmers to optimize planting dates, irrigation schedules, and harvest times, leading to improved crop yields and reduced losses. Access to accurate and reliable climate information helps farmers anticipate and prepare for climaterelated disasters, minimizing damage to crops and livestock. Climate science and agricultural meteorology also inform farmers about the most effective strategies for reducing greenhouse gas emissions, conserving water, and maintaining soil health. The integration of climate science, agricultural meteorology, and cutting-edge technologies is revolutionizing the agricultural sector. Artificial intelligence (AI) algorithms analyze large datasets, including climate information, soil moisture levels, and crop health, to provide insights on optimal farming practices. Internet of Things (IoT) sensors and connected devices monitor weather patterns, soil conditions, and crop health in real-time, enabling farmers to respond promptly to changing conditions. Geographic Information Systems (GIS) mapping and spatial analysis help farmers understand the spatial distribution of climate-related risks and opportunities, informing decision-making at the farm level (Fig. 3.1).

Sun is the prime source of energy injected into the earth’s atmosphere. The sun is the nearest star to the earth. It is a hot ball of glowing gases at the heart of the solar system. Its radiant energy is practically the only energy source to the earth. Very small and insignificant quantities of energy are available from other sources such as the interior of the earth, the moon, and other stars. Without the sun’s intense energy and heat, there would be no life on earth.

The mean distance of the sun from the earth, also known as one astronomical unit (1 AU), is approximately 1.496 × 10⁸ km, though the distance varies as the earth revolves round the sun in an elliptical orbit. At this average distance, light travels from the sun to earth in about 8 minutes and 19 seconds. The energy of the sunlight supports almost all life on earth by photosynthesis, and drives earth’s climate and weather. The minimum sun-earth distance is about 0.983 AU and the maximum is approximately 1.017 AU. The earth is at its closest point to the sun (perihelion) on around January 3 and at its farthest point (aphelion) on around July 4.

The sun makes up about 99.86% of the mass of the entire solar system. The visible disk or photosphere has a radius of 6.599 × 10⁵ km, and the solar mass is 1.989 × 10³⁰ kg. The sun is a completely gaseous body. The chemical composition (by mass) of the outer layers of sun is 71 per cent hydrogen, 26.5 per cent helium, and 2.5 per cent heavier elements like oxygen, carbon, neon, and iron among others. Since the sun is not a solid body, different parts of the sun rotate at different rates. At the equator, the sun spins once about every 25 earth days, but at its poles the sun rotates once on its axis every 36 days.

Abstract

Climate change and its various forms of variability are  a global phenomenon and are definitely a threat to our civilization. The change in climatic variables, being  uncertain in nature  has an impact on productivity of agriculture and other allied sectors thus producing a detrimental  effect on the fragile ecosystem prevailed in the North East India. Low or high atmospheric CO2  concentration, temperture fluctuations , rainfall and soil moisture variations, sunshine hours , soil temperature variability ,altogether considered as climatic complex could have impact on field crops, vegetables, fruit crops, animal and aquaculture productivity in a diversified way.Technological modalities in the domain of resilience in agriculture pertainining to natural resource management , crop production and livestock /fisheries  need to implemented in a holistic  manner so as to have institutional interventions to take the resilient measures in the doorstep of the farming community and such measures will be the  weapon for the people to face the challenges of climatic uncertaintity

Temperature is the physical property of an object that quantitatively expresses the hotness or coldness. Objects of low temperature are cold, while various degrees of higher temperatures are referred to as warm or hot. When a heat transfer path between them is open, heat spontaneously flows from bodies of a higher temperature to bodies of lower temperature. If no net heat flow occurs between two objects, the objects have the same temperature which are then said to be in ‘thermal equilibrium’. Temperature plays an important role in all fields of natural and applied sciences. Most of the weather parameters are dependent on it, directly or indirectly. It has important role to play in the development and growth of all living organisms in all stages of their growth.

Atmosphere receives the heat energy from the sun and its temperature increases. Due to different amount of heat energy receipt at different places, the air temperatures at different places also vary. The variation in air temperature basically results into air motion, so as to equalise the energy content of the different regions of the earth. Thus, atmospheric temperature is one of the basic elements of weather and climate.

9.1 Introduction

Solar energy can be directly converted into electrical energy through photovoltaic route. Energy conversion devices which are used to convert sun light into electricity by use of the photovoltaic effect are called solar cells. The advantages of solar cells are:

1. They are reliable, convenient and durable.
2. It is green, sustainable and pollution free technology.
3. Directly solar radiation can be converted into electricity (conversion of global solar light by flat plate photovoltaic).
4. Maintenance cost is quite low therefore suitable even in isolated and remote area, since no moving parts are involved.
5. Solar cells are quite compatible with almost all environments, respond instantaneously with solar radiation.
6. Considerable expected lifetime i.e. 20 years or even more.
7. No distribution system is required, because they are decentralized source of energy and located at the place of use.