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Environmental Degradation in Asia
This unique book focuses on environmental degradation in Asian countries including land degradation and soil erosion. The land degradation covers assessing environmental degradation using geospatial technology, land use land cover mapping, environmental and anthropogenic degradation, assessment of land degradation vulnerability, evaluation of the impact of earthquake and the environmental control of the sand dunes. It also addresses the soil degradation and environmental pollution and presents several case studies such as tectonic activity and erosion, assessment of aircraft sound, soil degradation assessment for the arid territories, soil pollution, waste engine oil contamination, soil degr...
IoT Sensors, ML, AI and XAI: Empowering A Smarter World
This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.
Geospatial Technology for Environmental Hazards
The book demonstrates the geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of natural and social hazards. This book has 25 chapters associated with risk assessment, mapping and management strategies of environmental hazards. It covers major topics such as Landslide Susceptibility, Arsenic Contaminated Groundwater, Earthquake Risk Management, Open Cast Mining, Soil loss, Flood Susceptibility, Forest Fire Risk, Malaria prevalence, Flood inundation, Socio-Economic Vulnerability, River Bank Erosion, and Socio-Economic Vulnerability. The content of this book will be of interest to researchers, professionals, and policymakers, whose work involves environmental hazards and related solutions.
Spatial Modelling of Flood Risk and Flood Hazards
Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (agricultural area, yield production, building and homes) and infrastructures (bridges, roads, railways, urban infrastructures, etc). Flood hazards susceptibility mapping (risk assessment) and modelling is an essential step for early warning systems, emergency services, prevention and mitigation of future environmental and social hazards and implementation of risk management strategies. Due to the lack of proper information, technology-based policies a...
Geospatial Practices in Natural Resources Management
This book provides a multidisciplinary synthesis of the sustainable management of natural resources. The book presents applicable knowledge of land, water, and forest resources along with in-depth investigations of multiple management pathways. This book also demonstrated the contemporary applications of geospatial technology in data mining techniques, data analysis, modeling, assessment, and visualization, and appropriate management strategies in different aspects of natural resources. The book explores the latest state-of-the-art techniques using open-source software, statistical programming, and modeling platforms, including artificial intelligence techniques in natural resource management. It is a valuable resource for students, researchers, and practitioners in geography, geospatial sciences, and environmental sciences, especially those interested in land, water, and forest resources.
Machine Learning and AI Technology for Agricultural Applications
Machine Learning and AI Technology in Agricultural Applications offers a comprehensive overview of how artificial intelligence and machine learning are transforming the agricultural industry. By delving into image processing and advanced data analysis, the book demonstrates how technology addresses modern agricultural challenges, including climate change, urbanization, and increasing global populations. It emphasizes the importance of integrating sensors and data collection methods to generate vast pools of information, which can be efficiently analyzed through AI-driven solutions. The text lays a strong foundation for understanding the role of technological innovation in supporting sustaina...
Indian Cases
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