eChapters

Abstract

The best way to conserve the biological diversity is by involving the local community. It is popularly known as community-based biodiversity conservation (CBC). The conflict between the nature and local communities who have stakes and rights in their territory is a matter of great concern. Likewise, when there prevails the community diversity, what would be the role, participation, share, stake, management issues, equity parameters etc. are the factors that affect CBC. However, CBC is future of conservation of natural resources. It needs adequate focus of community-scale projects on biodiversity conservation implemented by different parties and NGOs. Similarly, empowering community people through adequate financial support and appropriate monitoring and evaluation are the key success factors of community conservation projects. Ethnicity, gender and wealth were the factors that predicted CBC. Hence, the CBC programmes must address these aspects with adequate emphasize. The conflict between human activity and biodiversity conservation, if handled very effectively, will be a productive strategy to highlight pragmatic problems that arise at the field level and creating equitable and sustainable solutions. The general threats as a result of conflict between human activity and biodiversity conservation are agricultural intensification, recreation and human activities and policy related threats. Hence, awareness creation must have an integrative and interdisciplinary approach including the bodies that administer social and natural movements as well as the interests and priorities of local communities. Governing biodiversity conservation measures through political processes by engaging the appropriate representatives has valid implications for the whole process of biodiversity conservation. Alienation of local community, lack of favorable legal framework and lack of addressing the conservation issues through political process may adversely affect the biodiversity conservation as a whole.

2.1 Overview of the CDM Project Cycle

The ultimate governing body of the CDM is the Conference of the Parties/Meeting of the Parties to the Kyoto Protocol (COP/MOP). The COP/MOP is the annual meeting of the signatories to the Kyoto Protocol and is responsible for managing the CDM Executive Board and for overseeing its work. The Executive Board supervises the CDM process under the authority and guidance of the COP/MOP; it is fully accountable to the COP/MOP. The Board decides on rules for the implementation of the CDM, as well as making the final decisions about acceptance of methodologies, registration of projects and issuance of CERs. The Board is composed of 10 members and 10 alternates. The CDM Executive Board created an A/R Working Group to specifically oversee LULUCF under the CDM. The A/R Working Group provides guidance to LULUCF project developers and, using expert reviewers, makes recommendations on acceptance or rejection of LULUCF methodologies.

8.1 Introduction

The objective of this chapter is to develop a smart control for site-specific management of fixed irrigation system with Blynk app. Mobile app is designed to control the water management in field. The complete system comprises of two sections field device and mobile app. Field device comprises of Arduino, Node MCU, Power supply, LCD, Relay board, soil moisture sensor, temperature & humidity sensor, water level sensor, motor1, motor2. The system is designed to establish control and communication with specific agricultural field to take sensory data from the sensors and control the PUMP IN motor and PUMP OUT motor with the help of mobile app. Fig.8.1 shows a block diagram for a system.

Introduction

The Himalayan Moutains that is relatively a younger formation and geologically a very complex occupies most of the Arunachal Pradesh. The mountain terrain covers an area of about 86000 sq. km with elevation ranging from 400 to 6000 m above mean sea level (Satapathy and Dutta 1999). The wet tropical and sub-tropical climate which prevails in most part of the Arunachal Pradesh, there is usual phenomenon of erosion and land degradation by the action of water. It is estimated by the application of USLE for Arunachal Pradesh that the total amount of about 669.35 million tones of soil is eroded annually with an average rate of 90.7 tonnes /ha/year (Singh, 1999).

Arunachal Pradesh falls under upper Brahamaputra river system constituted by 10 major river basins. They are Tawang, Kameng, Dikrong, Subansiri, Siang, Sesseri, Dibang-Tellu, and Tirap-Tiso. In Arunachal Pradesh, Dikrong river is named after joining of two main rivers Pachin and Para . In the catchments of Dikrong river light textured unstable soils with the prevalent practice of Jhum Cultivation makes the entire catchments susceptible to erosion. In every monsoon the river Dilrong carries tremendous amount of silt, gravel, small boulder and causes flood in some parts of the catchments susceptible to erosion. Singh (1999) observed that loss rate through Dikrong River was 100.98 tones/ha/year. This indicates serious threat to soil resources and there is need for urgent treatment for sediment control in Dikrong river bash.

Abstract

Agricultural development in India provides support to a large section of farmers who operate on small holdings and have very limited risk bearing capacity. Farmers are often exposed to natural vagaries, which adversely affect their agricultural production and farm income. Moreover, there is huge financial exclusion in rural sector of the nation. If there is a crop failure, farmers are crushed under the burden of debt. Farmers seek to avoid risk in terms of various managerial and institutional mechanisms. But it is widely believed that ‘Crop Insurance’ is the only institutional mechanism available against production risk in farming. Unfortunately, penetration of crop insurance schemes in India has been low in terms of the area of land insured and the number of farmers covered. There are the problems of low risk awareness and lack of insurance culture among the farmers. In this backdrop, the paper documents the findings of a survey of 140 farmers, which was taken up in some selected villages of North 24 Parganas district of West Bengal. The study shows that likelihood of this awareness increases with increase in landholding size, education level, borrowing history and social participation of the farmers, whereas it decreases with the non-farm income and livestock of the farmers. The author proposes measures to promote and spread awareness of crop insurance among the farmers as a risk mitigation tool in farming, which will increase farm production and stabilize the fluctuation in farm income. The study provides valuable policy measures to the government in better designing of their crop insurance products and will also help the private agro-insurance business, which is recently taking off in the country.

Abstract

Amongst all types of major land-use change, extending irrigated agriculture using a surface-water source has the greatest influence on groundwater – both significantly increasing recharge and changing water quality as excess irrigation water infiltrates into shallow aquifers. Hence, in order to understand the impact of the landuse on the groundwater system the study has been aimed to understand the process by adopting geophysical, geochemical and microbial analysis of groundwater samples. The study has been conducted in Chidambaram taluk, with a total area of 92.51Sq.km. A total of 39 groundwater samples were collected for the analysis of major cation and anion along with the microbial analysis, like Total Coliform, Total Viable Counts, Fecal coliforms, Vibrio cholera and Total Streptococci. The geochemical studies reveal that there is no correlation between these parameters and the microbial population. The migration of the water from the elevated regions (urban region) is witnessed and the concentration of the microbial population is higher in these regions except in the southern region which has impermeable clay and this arrest the movement of water.

Abstract

Radon being the radioactive daughter product of Uranium; the interrelationship between U and Rn has been established in the present study. It is found that Radon coexist with Uranium in the region. A total of 61 samples were collected spatially from hand pumps and bore wells of the study area. Major ions such as Ca²⁺, Mg²⁺, Na⁺, K⁺, F^-, Cl^-, HCO^3-, NO^3-, H₄SiO₄,PO₄- and SO₄^2- and U, Rn were analysed. The lithological influence of U and Radon occurrence is also highlighted. Hard rocks especially Granites are the source for both U and Rn in the study area whereas the lack of correlation exist between U and Rn in sedimentary terrain can be attributed to difference in flow conditions and chemical properties of these elements. 

Key words: Radon, Uranium, Granite, Ground water, Source.
 

Abstract

Groundwater is most favored as a source of drinking water in all over world. It is often thought to be cleaner and easier to treat when compared with surface water and as a result, many wells have been sunk. Uranium and other radionuclides in water can lead to health problems if present in higher concentrations. In order to study the behavior and to understand the influence of lithology in groundwater of Madurai district, a study was conducted by collecting a total of 216 samples of different seasons (Premonsoon, South west monsoon, Northeast monsoon and Post monsoon) with respect to lithology and the number of samples was depending upon their spatial coverage in the study area. The groundwater samples were analysed for U, Ca²⁺, Mg²⁺, Na⁺, K⁺, HCO₃^-, Cl^-, SO₄^2-, PO₄^3-, NO₃^-, F^-, H₄SiO₄, pH, EC, TDS. It was identified that the higher concentration of Uranium (156 ppb) were noted in the northern part of the study area. They are chiefly restricted to the Granitic terrain and nearby Charnockitic regions. The weathering process induces the release of higher U ions from the granitic terrain and the evaporated recharge water from the tank /reservoir  also induces the release of U ions from the rock matrix, it may also be due to fertilizer enriched agricultural return flows. The key source for all these processes and hydrogeochemical processes is identified to be lithology which inturn controls all the other processes in the study area.

Abstract

Deduction of overindulgence fluoride (F)  from the water has been endeavor by numerous investigators by using different materials both natural and artificial. The objective of this paper was to attempt the fluoride removal by using the locally available natural materials such as red soil, untreated charcoal, local powdered brick, fly-ash from Neyveli (thermal power plant) and mineral serpentine were used, adopting column method. Maximum defluoridation occurs immediately after the experiment has started. The morality of fluoride removed per gram is more in red soil when compared to the other materials. Variation of fluoride removal with time was studied after the erection of the column /unit, the defluoridation setup was then connected to the public water supply from the overhead tank of 50,000L capacity. Higher F removal was noted when flow rate was lesser. An attempt on the regeneration of the fluoride adsorbed soil was also made.

Introduction

Time series analysis is a powerful tool for detecting and describing sequential processes, and it has become increasingly important in water resource management, especially in the context of global warming and climate change. Statistical methods have been widely used for analyzing climatological time series, such as precipitation, air temperature, and evapotranspiration, and hydrological time series, such as streamflow and surface water quality. However, most of the linear time series models depend on strict assumptions, such as homogeneity, trend-freeness, stationarity, non-periodicity, and lack of persistence, which are often violated in real-world datasets. Therefore, there is a need to develop new models that are more flexible and can accommodate different types of data (Machiwal & Jha, 2006).

One of the most popular and widely used classical time series models is the Autoregressive Integrated Moving Average (ARIMA) model, which has linear statistical properties and can be built using the Box-Jenkins methodology (Box and Jenkins, 1970). This model adoption is important for hydrological analysis because it can help in accurately characterizing and predicting the behavior of hydrological time series data. ARIMA models can capture complex patterns and trends in the data and can be used to forecast future values of the time series. This can help in better understanding the underlying processes that drive hydrological variability, such as changes in precipitation patterns or land use. Furthermore, hydrological data often exhibit seasonality and long-term trends, which can be accounted for in ARIMA modeling. ARIMA models can also be used for anomaly detection, identifying unusual events that may have significant impacts on water resources. Overall, ARIMA modeling provides a f lexible and powerful framework for analyzing and forecasting hydrological time series, which is essential for effective water resource management in the face of changing environmental conditions.

Dr. Chauhan, a renowned figure in the field of veterinary science, has left an indelible mark on the discipline through his groundbreaking research, innovative teaching, and unwavering dedication to the advancement of animal health and welfare. Over the years, his exceptional contributions have earned him a multitude of prestigious awards, medals, and honors, making him a luminary in his field.
His illustrious career began to gain recognition with the Best Young Scientist Award in 1992by Indian Association of Veterinary Pathologists, an acknowledgment of his potential and early contributions to veterinary science in general and Veterinary Pathology in particular. This award marked the start of a journey filled with accolades that would underscore his relentless pursuit of excellence. Four years later, in 1996, he was honored with the IAAVR Award, further solidifying his position as a promising researcher and academic.
By 1999, Dr. Chauhan’s expertise and dedication had earned him the National Fellow Professor chair of ICAR, a prestigious recognition that highlighted his growing influence in veterinary research. Around the same time, he was conferred the title of Fellow NAVS (2000) and Fellow SIIP (2001), reflecting his significant contributions to national and international veterinary organizations. These fellowships were a testament to his role in advancing scientific understanding and his collaborative efforts within the veterinary community.
Dr. Chauhan’s profound impact on the field was also recognized with several specialized awards, including the K.S. Nair Memorial Award in 1999, the Vigyan Bharti Award in 2000, and the Dr. C.M. Singh Trust Award in 2002. These honors celebrated his ability to merge academic rigor with practical applications, benefiting both the academic community and the agricultural
sector. Similarly, the Dr. Rajendra Prasad Award (2002) and the Shri Ramlal Agrawal National Award (2000) underscored his contributions to veterinary science in India.

Introduction

The study of spatiotemporal time series forecasting has gained significant attention in recent years, as it involves analyzing records of events that occur over both space and time. Spatiotemporal models group time- and location-specific discrete variables and are used in various sectors, including agriculture, transportation, meteorology, economics, disease mapping, sociology, environmental sciences, and ecology. However, the popular Autoregressive Integrated Moving Average (ARIMA) (Box and Jenkins, 1970) model has two major flaws: it assumes linearity, which is not always the case in time series data that may exhibit nonlinear interactions, and it is a univariate model that cannot capture spatial linkages. Hence, when investigating time series data that are not perfectly linear and involve spatial correlation, the ARIMA model should not be used. Other multivariate time series models like VARMA have also been used to represent spatiotemporal data. However, VARMA models require more parameters, and the STARMA model introduced by Cliff and Ord has fewer parameters (Cliff and Ord, 1975). In previous literatures, the STARMA model was commonly used for modeling different spatiotemporal time series data (Kamarianakis, 2003). The STARMA model was previously employed to forecast the spatiotemporal data in different fields such as economics, disease mapping, climate modeling, agriculture, etc. (Pfeifer and Bodily, 1990; Lee, 2005; Rathod et al., 2018; Saha et al., 2020 and Rathod et al., 2021).

Abstract

Soil quality assessment has been recognized as an important step towards understanding the long term effects of land management practices within agricultural watersheds. Potential soil quality issues include continued high rates of erosion, losses of organic matter, reductions in soil fertility and productivity, as well as chemical and heavy metal contamination. This case study addressed the spatial variability of soil properties and its quality at the watershed level using geostatistical methods. Soil samples from the 0- to 20-cm depth were collected on a 100- by 100-m grid across an 88-ha watershed at Sakaliseripalli village in the Nalgonda District in Andhra Pradesh State, India. Geostatistical analysis showed that most of the soil parameters were moderately spatially dependent. An assessment framework, that included a minimum data set, linear scoring technique, and additive indices, was used to evaluate the soil quality index (SQI). Through principal component analysis, cation exchange capacity, exchangeable Na percentage, DTPA-extractable Zn, available P, available water, and dehydrogenase activity have been emerged as the most important indicators for evaluating soil quality. A kriged map of SQI was prepared for the watershed. The SQI was found to be higher in irrigated systems than under rainfed conditions. In the study, potential soil loss calculated using the Universal Soil Loss Equation and crop yield were identified as the quantifiable management goals; the results indicated that soils having higher soil quality indices were more productive and less erosion prone.

Keyword : Principal Component analysis, SQI, Watershed, Geostatistics, Potential soil loss

Bread, cloth and house (Roti, Kapra and Makan) are the basic need of human life and linked directly with agriculture because agriculture provides livelihood for nearly two-thirds of the population in India and it currently accounts for 14.2% of the GDP and also employs 55% of country’s total workforce. The sharp fluctuations in agricultural growth are mainly attributed to the vagaries of monsoon. Rainfed agriculture is spread over 55% of net cultivated area, contributing over 40% to the national agricultural production.

SUMMARY

Abiotic stress can be reduced by choosing the most appropriate pulse species and adjusting agronomy (sowing time, plant density, soil management) to ensure sensitive crop stages occur at the most favourable time in the season. For example choosing the optimum sowing time, species and cultivars with appropriate phenology can reduce the effect of frost and drought in pulse crops in dry land environments, which termed stress.

             Most appropriate approach of dealing with stresses caused by extremes in the abiotic environment is to develop cultivars resistant to specific stresses. However, breeding and selection for resistance to these stresses is often considerable difficult because of the unpredictability of climatic conditions. Drought and heat escape through earliness in flowering and maturity is probably the characteristic most widely used by breeders for pulses and other crops to escape drought especially in low rainfall, terminal drought environment. Lack of simple and accurate screening procedures to screen parental genotypes and breeding population for various abiotic stresses is the major bottlenecks in the development of stress tolerant cool season pulse crops.

Abstarct

The Photosynthetically Active Radiation (PAR) measure of radiant power is important in evaluating the effect of light on plant growth. The photosynthetic response correlates better with the number of photons than with energy. This is expected because photosynthesis is a photochemical conversion where each molecule is activated by the absorption of one photon in the primary photochemical process. PAR is defined in terms of photon (quantum) flux, specifically, the number of moles of photons in the radiant energy between 400 nm and 700nm. One mole of photons is 6.0222 x 1023 photons ( 6.0222 x 1023 is Avagadro’s Number). The Phtotssynthetic Photon Flux Density (PPFD), i.e. the photon irridiance, is expressed in moles per squre meter and per second (formerly, Einsteins per squre meter and per second). The absorption of PAR by wheat varieties increased from 7.30 h to 11.30 h followed by a decline at 13.30 h at CRI, tillering and milking stages.

4.1 Introduction

Precipitation is a major component of hydrological cycle. It occurs because of condensation of water vapour molecules in the atmosphere. When the precipitation falls on the grounds, it undergoes several phases before it appears as runoff in the streams. Certain amount of precipitations is intercepted by the foliage of plants and roofs and other parts of the building and other hydraulic structures. This intercepted water is called as interception loss which is evaporated to the atmosphere. Sometimes the dried surface of the buildings and other structures soak certain amount of precipitation while falling on them which also adds to interception loss. After striking the land masses, certain amount of the precipitated water gets infiltrated into the soil surface which then moves both in lateral as well as in vertical direction. This loss is called as infiltration loss. For the study of groundwater, infiltration loss is not a loss but rather it is a gain in terms of groundwater recharge. However for a surface water hydrologist, it is a loss since it decreases the amount of runoff contributing to the stream or any other water bodies.

The increasing capabilities of Large Language Models have created strong demand for real-time AI services, but their computational complexity makes low-latency deployment difficult on conventional systems. Transformer models require substantial memory, high computational throughput and efficient data movement, creating challenges for mobile devices, embedded systems, edge platforms and latency-sensitive applications. This chapter introduces hardware–software co-design as an integrated strategy for addressing these challenges. Rather than optimizing hardware and software independently, co-design aligns model algorithms with the characteristics of processors, memory hierarchies, accelerators and communication systems. The chapter examines hardware platforms including GPUs, TPUs, FPGAs and ASICs, together with software techniques such as quantization, pruning, knowledge distillation, operator fusion and memory scheduling. Hybrid architectures are discussed for reducing latency, improving throughput, lowering energy consumption and increasing scalability. Applications in healthcare, finance, autonomous driving, robotics, industrial IoT and real-time translation illustrate the importance of efficient inference. The chapter demonstrates that coordinated optimization across the full computing stack can bridge the gap between LLM capability and practical real-time deployment while maintaining acceptable accuracy and reliability.

The adoption and use of a new technology causes disruptions in the sociocultural system of a nation and induces a change from established practices to distinctly different and complex forms of social practice. The deployment of ICT into the predominantly traditional societies of developing countries is therefore very disruptive. In view of this, a seamless integration of both the technical and socio-cultural systems of societies where technology transfer takes place is necessary for a thriving ICT deployment. Unfortunately, technological transfer to developing countries is driven by a perspective that is based on the development experience of Western industrialized nations.

It is indeed highly inspiring to see that in India, people are gradually getting aware of the multiple roles of Information Technology in the overall growth of the country. The bureaucrats and policy makers have equally emphasized the significance of exploring and exploiting the benefits of IT. Moreover, the governance has also realized that with availability of vital infrastructure Information and Communication Technologies can be used to improve the lives of the rural and underprivileged section of the Indian society, especially the ones living below the poverty line (BPL). Nonetheless, the Government will have to play the role of a catalyst in this huge integration project. A strategic framework including actors from Central & State Governments and Civil Society Organizations to capture the benefits of ICT and make it reach the countryside can do wonders in this regard.

Introduction

Accuracy and uncertainty analysis is an important step in preparation of surface map through geostatistical techniques or digital soil mapping approach. It is because that we rely on a map based on how much accurate it is and the degree of uncertainty associated with the estimates while the map was prepared. Any stakeholder for a soil map especially policy makers is interested in accuracy and uncertainty of the map before taking suitable land management decisions involving soil map as an input. Again the level of accuracy and uncertainty depends on the properties for which the map has been developed. If the property of interest is sensitive to environment or human consumption, then the accuracy level should be very high while the uncertainty level should be very low e.g. heavy metal concentration in soil, quality parameters of water etc.