Artificial Intelligence-Driven Models for Environmental Management - by Shrikaant Kulkarni (Hardcover)

About the Book

"This book provides tools and methods to monitor and predict environmental pollutants faster and more accurately. It covers different AI models and tools for achieving sustainable environmental development along as well as recent research directions for environmental issues. The book introduces novel intelligent techniques needed to address environmental pollution for global environmental health and puts forth insights on the next generation of intelligent pollution monitoring techniques. Topics include: Application of AI in Environmental Sustainability; The Role of AI in Environmental Research and Sustainability; The Living Environment and New Era of AI Education for a Sustainable Future; Managing Natural Resources Through Innovation: The Importance of Sustainable AI; AI-powered Soil Management; AI for Evaluation of the Impacts of Environmental Pollution on Human Health; Man-made Environmental Pollution with an Eye to Future Reduction using AI Network Techniques; AI Technology for Protection of Water Supplies from Contamination to Produce Healthy Foods; AI and Waste Management Technologies for Sustainable Agriculture; The Environmental AI Economy on Natural Resources Management; Environmental, Social and Economic Aspects of Natural Resource: AI Law and Policy Implications to Protect the Earth; AI in Healthy Natural Resource Management: Healthy Soils for Healthy Food Productions; Future Directions of AI for Management of Natural Resources"--

From the Back Cover

Step-by-step guidelines for the development of artificial neural network-based environmental pollution models

Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet's natural resources.

The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals.

Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include:

• Tools and methods for monitoring and predicting environmental pollutants faster and more accurately
• AI technology for the protection of water supplies from contamination to produce healthier foods
• Use of AI for the evaluation of the impacts of environmental pollution on human health
• AI and waste management technologies for sustainable agriculture and soil management
• The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI

Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.

About the Author

Shrikaant Kulkarni, Ph.D., is a Research Professor at Sanjivani University, Kopargaon, India, and an Adjunct Professor at Faculty of Business, Victorian Institute of Technology, Melbourne, Australia. Dr. Kulkarni has been a senior academic and researcher for more than four decades. He has published over 100 research papers, 100+ book chapters, and edited 50+ reference books.