The growing environmental challenges of the 21st century-including climate change, resource depletion, and biodiversity loss-require innovative, technology-driven 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 support sustainable environmental management. The monograph introduces the fundamentals of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental systems. Key applications include climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by relevant case studies. It also addresses ethical considerations, data security, and scalability challenges to ensure responsible deployment. By combining theoretical foundations with practical insights, the book serves as a valuable resource for students, researchers, practitioners, and policymakers, fostering innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems.
