Arun Lal Srivastav – författare

Ecological Significance of Riparian Ecosystems: Challenges and Management Strategies examines the current issues related to river ecosystems, their environmental importance, pollution issues and potential management strategies. The book is divided into 4 key themes: Basics of river ecosystem, Natural phenomenon of river ecosystem, Human-induced problems of river ecosystem, and Management measures for the river ecosystem. Through these four themes, the contributors present both practical and theoretical aspects of river ecosystem in changing climate. An emphasis has been made on the recent research of climate change and its impact on the river ecosystem.

River ecosystems have tremendous potential to store CO2, however, with changing climatic and anthropogenic activities, these habitats are under threat, and river ecosystems are losing the very vital service of storing carbon. Unlike well documented terrestrial biodiversity, the biodiversity in aquatic ecosystems is still unrecognized to some extent.

Presents an understanding of the biogeochemical processes of river ecosystems achieved by food webs and diverse biogeochemical processes Covers sediment dynamics and nutrient chemistry - hot topics in river ecosystems Includes environmental pollution issues in river ecosystems from various anthropogenic activities

Ecological Significance of Riparian Ecosystems: Challenges and Management Strategies examines the current issues related to river ecosystems, their environmental importance, pollution issues and potential management strategies. The book is divided into 4 key themes: Basics of river ecosystem, Natural phenomenon of river ecosystem, Human-induced problems of river ecosystem, and Management measures for the river ecosystem. Through these four themes, the contributors present both practical and theoretical aspects of river ecosystem in changing climate. An emphasis has been made on the recent research of climate change and its impact on the river ecosystem.River ecosystems have tremendous potential to store CO2, however, with changing climatic and anthropogenic activities, these habitats are under threat, and river ecosystems are losing the very vital service of storing carbon. Unlike well documented terrestrial biodiversity, the biodiversity in aquatic ecosystems is still unrecognized to some extent.- Presents an understanding of the biogeochemical processes of river ecosystems achieved by food webs and diverse biogeochemical processes- Covers sediment dynamics and nutrient chemistry - hot topics in river ecosystems- Includes environmental pollution issues in river ecosystems from various anthropogenic activities

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention.

Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms.

Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies Covers computational capabilities and varieties for renewable system design

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention.Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms.- Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems- Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies- Covers computational capabilities and varieties for renewable system design

Urban Water Crisis and Management: Strategies for Sustainable Development, Sixth Edition presents solutions for the current challenges of urban water and management strategies. Through contributed chapters, a framework is laid out for a reduction of the use of groundwater (heavily overused as a solution) and the alternative options for the supply of water to cities, or for urban water. Sections discuss urban water, its problems and management approaches, address the root causes of the water crisis in urban areas, and cover the scientific and technical knowledge necessary to manage water resources.Significant gaps between developed and developing nations in the procedure of water management are also addressed, along with practical information regarding recycling and the reuse of wastewater which is useful as baseline data for the future.- Presents the quantitative study of water supply in urban areas, identifies water scarcity in megacities, and provides management approaches for sustainable development- Identifies technology and the instruments required for the management and safe supply of water- Includes case studies where these technologies have been successfully used

Urban Water Crisis and Management: Strategies for Sustainable Development, Sixth Edition presents solutions for the current challenges of urban water and management strategies. Through contributed chapters, a framework is laid out for a reduction of the use of groundwater (heavily overused as a solution) and the alternative options for the supply of water to cities, or for urban water.� Sections discuss urban water, its problems and management approaches, address the root causes of the water crisis in urban areas, and cover� the scientific and technical knowledge necessary to manage water resources.

Significant gaps between developed and developing nations in the procedure of water management are also addressed, along with practical information regarding recycling and the reuse of wastewater which is useful as baseline data for the future.

Presents the quantitative study of water supply in urban areas, identifies water scarcity in megacities, and provides management approaches for sustainable development Identifies technology and the instruments required for the management and safe supply of water Includes case studies where these technologies have been successfully used

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world.

This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.

Includes case studies on the application of AI and machine learning for monitoring climate change effects and management Features applications of software and algorithms for modeling and forecasting climate change Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world.This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.- Includes case studies on the application of AI and machine learning for monitoring climate change effects and management- Features applications of software and algorithms for modeling and forecasting climate change- Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability

Bioremediation of Emerging Contaminants from Soils: Soil Health Conservation for Improved Ecology and Food Security deals with current challenges of sustainable soil health using eco-friendly approaches. This book provides ways of reducing the chemical burden on the soil by maintaining balance in terms of society, environment, and economy, which are considered basic pillars of sustainability.

Designed to highlight soil health best practices for both environmental and agricultural sustainability, these approaches are also considered important for improving global food security by ensuring safe growing conditions for crops for food and feed.?Presented in two parts, this book first highlights emerging contaminants and their sources.?The second part explores a variety of steps and tools for addressing contaminated soils, including bio- and phytoremediation options.?Case studies in each part provide real-world insights for practical application.

Contains the latest practical and theoretical aspects of the soil health crisis and its managementPresents collective information to ensure the remediation of soil from emerging contaminantsServes as baseline information for environmental issues in agriculture along with their alternative eco-friendly solutions

Bioremediation of Emerging Contaminants from Soils: Soil Health Conservation Along with Food Security deals with current challenges of sustainable soil health using eco-friendly approaches. This book provides ways of reducing the chemicals burden on the soil by maintaining balance in terms of society, environment and economy, which are considered basic pillars of sustainability.Designed to highlight soil health best practices for both environmental and agricultural sustainability, these approaches are also considered important for improving global food security by ensuring safe growing conditions for crops for food and feed.　Presented in two parts, the book first highlights emerging contaminants and their sources.　The second part explores a variety of steps and tools for addressing contaminated soils including bio- and phytoremediation options.　Case studies in each part provide real-world insights for practical application.This book will be unique in the specified area of sustainability using the principles of bioremediation. Moreover, scientists, researchers, and policymakers will receive insights to develop and explore innovate approaches to achieve sustainable development goals.- Contains the latest practical and theoretical aspects of the soil health crisis and its management- Presents collective information to ensure the remediation of soil from emerging contaminants- Serves as baseline information for environmental issues in agriculture along with their alternative eco-friendly solutions

Role of Green Chemistry in Ecosystem Restoration to Achieve Environmental Sustainability deals with current challenges of environmental problems along with the approaches of environmental sustainability in alliance with green chemistry. The book shows how to lessen the impact on the environment by maintaining a balance between society, the environment, and the economy, all of which are regarded as fundamental pillars of sustainability. Furthermore, policymakers and scholars will gain insights into how to develop and explore innovative techniques for achieving sustainable development goals. This book is unique in the field of environmental sustainability, as it is based on green chemistry concepts. Addresses root causes of prominent environmental problems, including environmental management, water sustainability and agricultural sustainability Discusses recent knowledge about the concepts of environmental sustainability Highlights various approaches of green chemistry to achieve sustainable development goals

Role of Green Chemistry in Ecosystem Restoration to Achieve Environmental Sustainability deals with current challenges of environmental problems along with the approaches of environmental sustainability in alliance with green chemistry. The book shows how to lessen the impact on the environment by maintaining a balance between society, the environment, and the economy, all of which are regarded as fundamental pillars of sustainability. Furthermore, policymakers and scholars will gain insights into how to develop and explore innovative techniques for achieving sustainable development goals. This book is unique in the field of environmental sustainability, as it is based on green chemistry concepts.- Addresses root causes of prominent environmental problems, including environmental management, water sustainability and agricultural sustainability- Discusses recent knowledge about the concepts of environmental sustainability- Highlights various approaches of green chemistry to achieve sustainable development goals

Water Resources Management for Rural Development: Challenges and Mitigation provides an overview of the current challenges of rural water and its management strategies. The content contains practical and theoretical aspects of the water crisis in rural areas in a changing climate era, with an emphasis on recent water crisis research and management strategies. The book's structure contains fundamentals of water resources, pollution, remediation, supply and management strategies. Case studies included provide different water-related issues around the globe, introducing the reader to the paths of reducing the burden on the groundwater and the alternative options for the supply of water in rural areas.

Decision-makers and water supply authorities will benefit from this unique resource that comprehensively covers rural water management in ways no comparable book has achieved.

Includes case studies that follow a consistent template, providing the reader with easy to find real-life examples Covers a wide spectrum of topics related to water resources as written by experts in their field Provides information on the identification of technologies and instruments required for the management of, and safe supply of, water

Water Resources Management for Rural Development: Challenges and Mitigation provides an overview of the current challenges of rural water and its management strategies. The content contains practical and theoretical aspects of the water crisis in rural areas in a changing climate era, with an emphasis on recent water crisis research and management strategies. The book''s structure contains fundamentals of water resources, pollution, remediation, supply and management strategies. Case studies included provide different water-related issues around the globe, introducing the reader to the paths of reducing the burden on the groundwater and the alternative options for the supply of water in rural areas.Decision-makers and water supply authorities will benefit from this unique resource that comprehensively covers rural water management in ways no comparable book has achieved.- Includes case studies that follow a consistent template, providing the reader with easy to find real-life examples- Covers a wide spectrum of topics related to water resources as written by experts in their field- Provides information on the identification of technologies and instruments required for the management of, and safe supply of, water

Green and Sustainable Approaches Using Wastes for the Production of Multifunctional Nanomaterials focuses on the examination of green synthesis utilizing green waste materials derived from home and industrial applications. This book also examines the current state of material generations, future problems and their industrial constraints, and the synthesis of NMs for various applications such as medicinal, agriculture, environmental, food and beverage storage, and so on. The book includes the most recent practical and theoretical aspects of the use of waste materials released in the fabrication of various types of valuable nanomaterials, such as metal, metal oxide, polymeric, and graphene, among others. This is a relatively new concept in waste utilization, and green synthesis is a viable resource in making NPs. This book will also be valuable for waste management professionals who need proper disposal techniques for by-products.Provides various types of waste management helps to develop innovative ideasDiscusses waste to valuable wealth, waste resources management, approaches to focus sustainable development, pollution reduction, and alternative options for smooth recovery of resourcesContains advanced information about green nanotechnology

Green and Sustainable Approaches Using Wastes for the Production of Multifunctional Nanomaterials focuses on the examination of green synthesis utilizing green waste materials derived from home and industrial applications. This book also examines the current state of material generations, future problems and their industrial constraints, and the synthesis of NMs for various applications such as medicinal, agriculture, environmental, food and beverage storage, and so on. The book includes the most recent practical and theoretical aspects of the use of waste materials released in the fabrication of various types of valuable nanomaterials, such as metal, metal oxide, polymeric, and graphene, among others. This is a relatively new concept in waste utilization, and green synthesis is a viable resource in making NPs. This book will also be valuable for waste management professionals who need proper disposal techniques for by-products.- Provides various types of waste management helps to develop innovative ideas- Discusses waste to valuable wealth, waste resources management, approaches to focus sustainable development, pollution reduction, and alternative options for smooth recovery of resources- Contains advanced information about green nanotechnology

Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming is the first book to focus on the integration of multiple techniques and technologies to create an ecosystem sustaining approach that doesn’t compromise soil health or environmental safety as it increases crop yield. The book highlights the integration of state-of-the-art tools and working models to address the various challenges in the field of agriculture. It also identifies and discusses the potential and challenges of hyperautomation in sustainable agriculture with respect to efficiency improvement and human enhancement of automated operations.Hyperautomation is a true digital transformation in sustainable agriculture utilizing advanced techniques such as robotic process automation (RPA), digital process automation (DPA), unmanned aerial vehicle (UAV), controlled-environment agriculture (CEA), remote sensing, internet of things (IoT), crop modeling, precision farming, sustainable yield, image analysis, data fusion, artificial intelligence (AI), machine learning (ML), and deep learning (DL).Provides a comprehensive overview of the current state-of-the-art of automation in agricultureEnables improved productivity and resource optimizationPresents advanced monitoring/mapping methods in soil properties, nutrients, crop growth, and yield

Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming is the first book to focus on the integration of multiple techniques and technologies to create an ecosystem sustaining approach that doesn''t compromise soil health or environmental safety as it increases crop yield. The book highlights the integration of state-of-the-art tools and working models to address the various challenges in the field of agriculture. It also identifies and discusses the potential and challenges of hyperautomation in sustainable agriculture with respect to efficiency improvement and human enhancement of automated operations.Hyperautomation is a true digital transformation in sustainable agriculture utilizing advanced techniques such as robotic process automation (RPA), digital process automation (DPA), unmanned aerial vehicle (UAV), controlled-environment agriculture (CEA), remote sensing, internet of things (IoT), crop modeling, precision farming, sustainable yield, image analysis, data fusion, artificial intelligence (AI), machine learning (ML), and deep learning (DL).- Provides a comprehensive overview of the current state-of-the-art of automation in agriculture- Enables improved productivity and resource optimization- Presents advanced monitoring/mapping methods in soil properties, nutrients, crop growth, and yield

Biotechnologies for Wastewater Treatment and Resource Recovery: Current Trends and Future Scope presents up-to-date insights on the water crisis stemming from wastewater production. Edited by experts in the field, the book's chapters are structured around different types of bioremediation approaches (phytoremediation, myco-remediation, bio-stimulation, bio-augmentation, rhizoremediation, etc.) all applied in the context of wastewater treatment. This comprehensive resource equips students, research scholars, and policymakers with a holistic understanding of wastewater treatment and resource recovery through bioremediation techniques. Abundant real-world applications and case studies empower readers to make well-informed decisions, ensuring the efficient utilization of energy and efforts in addressing this critical issue.Covers a thorough analysis of various bioremediation approaches such as: phytoremediation, myco-remediation, bio-stimulation, bio-augmentation, rhizoremediation, etc.Offers the most up-to-date information on integrated wastewater treatment using biological and physicochemical methodsIncludes case studies on bioremediation of domestic/industrial wastewater for the elimination of heavy metals/emerging water contaminants/pesticides/microplastics, amongst others

Biotechnologies for Wastewater Treatment and Resource Recovery: Current Trends and Future Scope presents up-to-date insights on the water crisis stemming from wastewater production. Edited by experts in the field, the book''s chapters are structured around different types of bioremediation approaches (phytoremediation, myco-remediation, bio-stimulation, bio-augmentation, rhizoremediation, etc.) all applied in the context of wastewater treatment. This comprehensive resource equips students, research scholars, and policymakers with a holistic understanding of wastewater treatment and resource recovery through bioremediation techniques. Abundant real-world applications and case studies empower readers to make well-informed decisions, ensuring the efficient utilization of energy and efforts in addressing this critical issue.- Covers a thorough analysis of various bioremediation approaches such as: phytoremediation, myco-remediation, bio-stimulation, bio-augmentation, rhizoremediation, etc.- Offers the most up-to-date information on integrated wastewater treatment using biological and physicochemical methods- Includes case studies on bioremediation of domestic/industrial wastewater for the elimination of heavy metals/emerging water contaminants/pesticides/microplastics, amongst others

Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier’s cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids.Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systemsBuilds knowledge and tools in a systematic manner, from fundamentals to advanced applicationsIncludes dedicated chapters with case studies and applications for each sustainable energy source

Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier''s cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids.- Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems- Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications- Includes dedicated chapters with case studies and applications for each sustainable energy source

Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.Offers a holistic understanding of the application of computational automation in water quality managementContains practical and unique updates to help learners how to apply computational techniques to address water quality challengesProvides a comprehensive and multidisciplinary perspective on water quality management

Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.- Offers a holistic understanding of the application of computational automation in water quality management- Contains practical and unique updates to help learners how to apply computational techniques to address water quality challenges- Provides a comprehensive and multidisciplinary perspective on water quality management

Phytonanoparticles as Green Catalysts for the Degradation of Persistent Organic Pollutants provides comprehensive overview about Phytonanoparticle synthesis, catalytic properties, and effectiveness for breaking down hazardous organic compounds. The main aim of this book is to bridge-up the gaps between nanotechnology and environmental remediation by showcasing phytonanoparticles as eco-friendly, sustainable alternatives to conventional catalytic methods. Traditional approaches often rely on the generation of toxic chemicals along with expensive processes, whereas phytonanoparticles present a more sustainable and cost-effective solution. Moreover, this book may also be used as a cutting-edge reference by the researchers working in the field of green nanotechnology and pollution control. Despite notable advancements in environmental nanotechnology, there is a distinct lack of comprehensive resources focusing specifically on the catalytic applications of phytonanoparticles. This volume will also address the research gaps by involving recent research, technological advancements and practical case studies. Surely, it will be a valuable guide for the scientists, engineers, and policymakers seeking sustainable and innovative strategies to combat persistent organic pollutants and advance the field of green environmental technology.Unique reference book for the researchers and academicians for the remediation of Persistent Organic Pollutants (POPs) from water.Explore the possibility of plants-based extract to develop nanomaterialsBridge-up gaps between nanotechnology and environmental remediation by highlighting phytonanoparticles as eco-friendly catalysts for pollutant degradationConsolidates recent research, technological developments, and real-world applications into a single, accessible volume

This book explores the cutting-edge integration of generative artifical intelligence (AI) techniques to enhance environmental remote sensing, providing a comprehensive guide from foundational algorithms to practical applications. It explains how advanced AI technology can be used to improve the way we monitor and understand the environment from a distance, such as through satellites or drones. It starts with an explanation of basic algorithms behind generative AI and gradually moves to complex algorithms, showing how they can be applied to real-world environmental issues, such as tracking climate change, monitoring deforestation, and predicting natural disasters. Features Includes real-world examples and case studies showing how generative AI improves environmental monitoring. Provides step-by-step explanations of algorithms and their implementation. Explains complex concepts in simple and easy-to-understand language and introduces strategies to address environmental challenges using AI-driven solutions. Offers cutting-edge research and advancements in AI and remote sensing, including the application of generative AI models like GANs and VAEs. Applies to diverse fields such as urban planning, agriculture, and disaster management. Discusses ethical considerations and challenges when integrating AI with remote sensing. This book is for researchers and practitioners in environmental monitoring, urban planning, agriculture, and disaster management using remote sensing technologies and AI to address environmental challenges and sustainability. It is also intended for university professors, graduate, and postgraduate students in environmental science, geospatial analysis, computer science, and data science working on projects related to AI and remote sensing.

This book explores the cutting-edge integration of generative artifical intelligence (AI) techniques to enhance environmental remote sensing, providing a comprehensive guide from foundational algorithms to practical applications. It explains how advanced AI technology can be used to improve the way we monitor and understand the environment from a distance, such as through satellites or drones. It starts with an explanation of basic algorithms behind generative AI and gradually moves to complex algorithms, showing how they can be applied to real-world environmental issues, such as tracking climate change, monitoring deforestation, and predicting natural disasters. Features Includes real-world examples and case studies showing how generative AI improves environmental monitoring. Provides step-by-step explanations of algorithms and their implementation. Explains complex concepts in simple and easy-to-understand language and introduces strategies to address environmental challenges using AI-driven solutions. Offers cutting-edge research and advancements in AI and remote sensing, including the application of generative AI models like GANs and VAEs. Applies to diverse fields such as urban planning, agriculture, and disaster management. Discusses ethical considerations and challenges when integrating AI with remote sensing. This book is for researchers and practitioners in environmental monitoring, urban planning, agriculture, and disaster management using remote sensing technologies and AI to address environmental challenges and sustainability. It is also intended for university professors, graduate, and postgraduate students in environmental science, geospatial analysis, computer science, and data science working on projects related to AI and remote sensing.

This book explores the cutting-edge integration of generative artifical intelligence (AI) techniques to enhance environmental remote sensing, providing a comprehensive guide from foundational algorithms to practical applications. It explains how advanced AI technology can be used to improve the way we monitor and understand the environment from a distance, such as through satellites or drones. It starts with an explanation of basic algorithms behind generative AI and gradually moves to complex algorithms, showing how they can be applied to real-world environmental issues, such as tracking climate change, monitoring deforestation, and predicting natural disasters. FeaturesIncludes real-world examples and case studies showing how generative AI improves environmental monitoring.Provides step-by-step explanations of algorithms and their implementation.Explains complex concepts in simple and easy-to-understand language and introduces strategies to address environmental challenges using AI-driven solutions.Offers cutting-edge research and advancements in AI and remote sensing, including the application of generative AI models like GANs and VAEs.Applies to diverse fields such as urban planning, agriculture, and disaster management.Discusses ethical considerations and challenges when integrating AI with remote sensing.This book is for researchers and practitioners in environmental monitoring, urban planning, agriculture, and disaster management using remote sensing technologies and AI to address environmental challenges and sustainability. It is also intended for university professors, graduate, and postgraduate students in environmental science, geospatial analysis, computer science, and data science working on projects related to AI and remote sensing.

SUSTAINABLE MANAGEMENT OF ELECTRONIC WASTEWritten and edited by a group of industry professionals, this new volume provides cutting-edge insights into how the sustainability of managing electronic waste can be achieved, for engineers, scientists, and students.As a result of the rapid advancement of technology and the globalization of the economy, waste electrical and electronic equipment (WEEE) management has become increasingly important. Manufacturers are especially concerned about the proper disposal of their waste, and researchers need to identify the obstacles and enablers that stand in the way of implementing a long-term WEEE management system in order to develop a long-term WEEE management system. Further, the literature did not adequately capture the perspectives of multiple stakeholders while also identifying the enablers required for the development of sustainable WEEE management policies, which was particularly important in developing countries.This volume fills a gap in the literature by considering the perspectives of multiple stakeholders to identify enablers of sustainable WEEE management in emerging economies which was previously unexplored. This book focuses on the most recent technological advancements for the twenty-first century, emphasizing the synergies that exist between computer science, bioinformatics, and other sciences. The research and development of artificial intelligence, machine learning, blockchain technologies, quantum computing with cryptography, nanotechnology, sensors based on biotechnology, Internet of Things devices, nature-inspired algorithms, computer vision techniques, computational biology, and other topics are covered in this book, along with their applications in the fields of science, engineering, physical science, and economics. Modern environmental techniques are among the most innovative innovations emerging as a result of the insatiable demand for health standards in the modern world.