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Climate change, biodiversity loss, resource depletion, and pollution are intensifying. Addressing these global issues requires fresh perspectives and cutting-edge solutions that integrate AI with environmental sustainability. AI and computational intelligence technologies are evolving at an unprecedented pace, offering new tools and methodologies for tackling environmental challenges. Yet existing resources often fail to capture the latest breakthroughs and interdisciplinary approaches needed to harness these innovations effectively.AI and Computational Intelligence for Environmental Sustainability showcases the potential of artificial intelligence and computational intelligence in tackling critical environmental challenges. As the urgency to combat climate change, optimize resource utilization, and promote sustainable practices grows, this book provides a comprehensive resource that bridges the gap between AI research and its practical applications in environmental sustainability, and offers insights into the latest developments and methodologies. It highlights real-world applications and case studies to inspire researchers, developers, and policymakers to create and implement AI-driven solutions for a more sustainable future, foster collaboration by bringing together experts from diverse fields to share knowledge and foster interdisciplinary collaboration in the pursuit of environmental sustainability. It also addresses the ethical and practical challenges of applying AI in sustainability, advocating for responsible AI development and low-energy computing practices.
- Explores AI applications across diverse environmental domains, offering a 360-degree view of the field
- Provides actionable methodologies, frameworks, and tools for deploying AI solutions
- Showcases successful implementations, bridging theory and practice
- Highlights emerging trends and future directions to inspire innovation
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ISBN-13
978-0-443-48508-4 (9780443485084)
Schweitzer Classification
1. Introduction to AI for Environmental Sustainability2. AI for Climate Modeling and Prediction3. Renewable Energy Optimization with AI4. Smart Waste Management and Recycling with AI5. AI in Water Resource Management6. Precision Agriculture and AI-Enabled Sustainable Farming7. AI for Biodiversity Conservation and Wildlife Protection8. Computational Intelligence for Air Pollution Control9. AI-Driven Smart Cities and Sustainable Urban Development10. AI for Disaster Prediction and Mitigation11. AI in Carbon Footprint Reduction and Energy Efficiency12. AI-Enhanced Circular Economy and Sustainable Business Models13. Computational Sustainability: AI in Environmental Policy and Governance14. Ethical Considerations and Challenges in AI for Sustainability15. Future Trends in AI and Computational Intelligence for Environmental Sustainability