AI and Computational Intelligence for Environmental Sustainability

Rakesh Kumar, Meenu Gupta, Anand Nayyar

• Publisher: Elsevier
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9780443485084
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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

Table of contents

• Title of Book
• Chapter 1 Introduction to artificial intelligence for environmental sustainability
• Chapter 2 Artificial intelligence for climate modeling and prediction
• Chapter 3 Renewable energy optimization with artificial intelligence
• Chapter 4 Smart waste management and recycling using artificial intelligence
• Chapter 5 Artificial intelligence in water resource management
• Chapter 6 Integrated artificial intelligence-enabled precision agriculture system architecture
• Chapter 7 Artificial intelligence for biodiversity conservation and wildlife protection
• Chapter 8 Computational intelligence for air pollution
• Chapter 9 Artificial intelligence-driven smart cities and sustainable urban development
• Chapter 10 Artificial intelligence for disaster prediction and mitigation
• Chapter 11 Artificial intelligence in carbon footprint reduction and energy efficiency
• Chapter 12 Artificial intelligence enhanced circular economy and sustainable business models
• Chapter 13 Computational sustainability: artificial intelligence in environmental policy and governance
• Chapter 14 Artificial intelligence-driven conservation of indigenous crops for advancing food security
• Chapter 15 Artificial intelligence and blockchain for sustainable farming: toward resilient and transparent agricultural ecosystems
• Chapter 16 Integrating artificial intelligence and computational intelligence for environmental protection and resource management
• Chapter 17 Ethical and regulatory challenges in artificial intelligence based unmanned air vehicles operations for environmental monitoring
• Index