AI for Environmental Sustainability. Dieser Artikel ist nicht verfügbar.AI for Environmental Sustainability

The growing environmental challenges of the 21st century—including climate change, resource depletion, and biodiversity loss—require innovative technological solutions. Artificial Intelligence for Environmental Sustainability: Machine Learning and IoT Solutions explores how Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) can drive sustainable environmental management. The monograph introduces core concepts of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental processes. It highlights applications in climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by real-world case studies. The work also addresses ethical considerations, data security, and scalability challenges to present a balanced perspective. By combining theory with practical insights, this monograph serves as a valuable resource for students, researchers, practitioners, and policymakers, promoting innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems.

Dr. J. Refonaa is an Assistant Professor at Sathyabama Institute of Science & Technology with over 13 years of teaching experience. Her research interests include Spatial Data Mining, Big Data, Software Engineering, and Database Management Systems. She has authored books and monographs, published more than 82 research papers and holds 3 patents.