AI for Environmental Sustainability: ML and IoT Solutions

By: J. Refonaa

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.

• Format: Paperback
• Language: English
• ISBN: 6209656900
• ISBN13: 9786209656903
• Release Date: February 2026
• Publisher: LAP Lambert Academic Publishing
• Length: 100 Pages
• Weight: 0.32 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"