The integration of Artificial Intelligence (AI) with geospatial technologies is increasingly vital in addressing environmental challenges facing society today. As climate change, resource depletion, and environmental degradation intensify, AI-driven geospatial tools offer powerful solutions for monitoring ecosystems, predicting environmental changes, and managing natural resources more effectively. By harnessing AI to analyze large volumes of environmental data, decision-makers can gain deeper insights and make more informed, timely decisions to protect the environment. This convergence of technology and environmental science has the potential to revolutionize how we understand and respond to environmental issues, making it a critical area of focus for sustainable development and environmental protection efforts. Harnessing AI in Geospatial Technology for Environmental Monitoring and Management explores the integration of AI with geospatial technologies to advance environmental monitoring and management practices. It discusses methods, challenges, and emerging technologies in the field. Covering topics such as agriculture, environmental information, and solar energy, this book is an excellent resource for academicians, researchers, professionals, policymakers, government officials, graduate and postgraduate students, and more.
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