Description
Data-driven Environmental Intelligence presents cutting-edge approaches to understanding and solving complex environmental problems through intelligent data technologies. The book integrates machine learning, artificial intelligence, and big data analytics with sustainability principles to create actionable solutions for ecological challenges.
Written by leading experts including Siddhartha Bhattacharyya, Jan Platoš, and Soumyadip Dhar, this comprehensive resource examines how data-driven methodologies can optimize resource management, reduce carbon footprints, and monitor environmental health. It covers practical applications across industries including renewable energy, waste management, climate monitoring, and ecosystem preservation.
Essential for environmental scientists, data analysts, policymakers, and technology professionals, this book bridges the gap between computational intelligence and sustainability science, providing both theoretical foundations and real-world implementations for building a more sustainable future.
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