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Elsevier

AI and Computational Intelligence for Environmental Sustainability

  • 1st Edition - June 1, 2026
  • Latest edition
  • Editors: Rakesh Kumar, Meenu Gupta, Anand Nayyar
  • Language: English

Climate change, biodiversity loss, resource depletion, and pollution are intensifying. Addressing these global issues requires fresh perspectives and cutting-edge solutions that… Read more

Description

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.

Key features

  • 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

Readership

Researchers, graduate and higher undergraduate students in the fields of artificial intelligence, environmental science, sustainability, computational intelligence, data science, environmental studies, and related disciplines

Table of contents

1. Introduction to AI for Environmental Sustainability

2. AI for Climate Modeling and Prediction

3. Renewable Energy Optimization with AI

4. Smart Waste Management and Recycling with AI

5. AI in Water Resource Management

6. Precision Agriculture and AI-Enabled Sustainable Farming

7. AI for Biodiversity Conservation and Wildlife Protection

8. Computational Intelligence for Air Pollution Control

9. AI-Driven Smart Cities and Sustainable Urban Development

10. AI for Disaster Prediction and Mitigation

11. AI in Carbon Footprint Reduction and Energy Efficiency

12. AI-Enhanced Circular Economy and Sustainable Business Models

13. Computational Sustainability: AI in Environmental Policy and Governance

14. Ethical Considerations and Challenges in AI for Sustainability

15. Future Trends in AI and Computational Intelligence for Environmental Sustainability

Product details

  • Edition: 1
  • Latest edition
  • Published: June 1, 2026
  • Language: English

About the editors

RK

Rakesh Kumar

Dr. Rakesh Kumar is working as a Professor in the Department of Computer Science Engineering at Chandigarh University, Punjab, India. He did his Ph.D. from Punjab Technical University, Jalandhar, in Computer Science and Engineering in 2017. He has published many authored books with reputed publishers. His research interests are IoT, Machine Learning, and Natural Language Processing. A total of 19+ Years of Academic / Research Experience with more than 100 Publications in various National/International Conferences and Journals. He also organized three international conferences under the banner of IEEE Explore and AIP publisher.

Affiliations and expertise
Professor, Chandigarh University

MG

Meenu Gupta

Dr. Meenu Gupta is a Professor in the Department of Computer Science and Engineering, University Centre for Research and Development, Chandigarh University, Punjab, India. She is Head of Conferences and Research Outreach (Engineering Cluster) and a member of the academic leadership team at UIE–CSE. Dr. Gupta completed her Ph.D. in Computer Science and Engineering at Ansal University, Gurgaon, in 2020. She has also been a Postdoctoral Fellow at the MIR Lab in the USA. Her research interests include Machine Learning, Intelligent Systems, Data Mining, Artificial Intelligence, Image Processing, Smart Cities, Data Analysis, and Brain–Machine Interaction (BMI). She has served as a reviewer for multiple peer-reviewed journals. Dr. Gupta is a Senior Member of IEEE and a Life Member of ISTE and IAENG. She has held roles within IEEE, including positions in the IEEE Delhi Section and as an officer connected with the IEEE Robotics and Automation Society (RAS) Delhi Section.

Affiliations and expertise
Chandigarh University, Punjab, India

AN

Anand Nayyar

Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in School of Computer Science and Artificial Intelligence (SCA), Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 100 Patents to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.

Affiliations and expertise
Professor, Scientist, Vice-Chairman (Research) and Director at IoT and Intelligent Systems Lab, Duy Tan University, Vietnam