
Artificial Intelligence (AI) for Climate Change Mitigation
Key Motivations and Combating Methods
Cambridge Scholars Publishing
Published on 1. January 2026
Book
Hardback
362 pages
978-1-0364-6095-2 (ISBN)
Description
As the planet faces unprecedented climate threats, the role of artificial intelligence in driving innovative solutions has never been more vital. This timely resource delivers an in-depth exploration of how AI and related emerging technologies can revolutionize approaches to disaster readiness, resource management, and sustainable development. Through a balanced blend of theory, real-world case studies, and practical applications, this book illustrates how IoT-powered sensors, predictive analytics, and data-driven systems can drastically reduce carbon footprints across industries, improve accuracy in weather forecasting, and advance equitable policymaking. Each chapter offers fresh insights into the transformative impact of AI in areas ranging from smart agriculture to eco-friendly transportation infrastructure. Ultimately, this forward-looking comprehensive volume underscores the importance of interdisciplinary collaboration, illustrating how AI's potential can be harnessed to build a more resilient, responsible, and above all, truly sustainable global community.
More details
Edition
Unabridged edition
Language
English
Place of publication
Newcastle upon Tyne
United Kingdom
Target group
Professional and scholarly
Edition type
Unabridged edition
Product notice
With dust jacket
Dimensions
Height: 212 mm
Width: 148 mm
ISBN-13
978-1-0364-6095-2 (9781036460952)
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Schweitzer Classification
Persons
Pethuru Raj, PhD, is a Chief Architect at the Edge AI division of Reliance Jio Platforms Ltd. (JPL), Bangalore, India. He had gained over 24 years of IT industry experience and nine years of research experience. He holds a PhD from Anna University, Chennai, India. Dr Pushan Kumar Dutta is an accomplished academic, researcher, and editor. He is renowned for contributions in data mining, edge computing, and predictive analytics.N. Gayathri, PhD, is an Assistant Professor in the Department of Computer Science and Engineering, Gandhi Institute of Technology and Management University, Bengaluru, India. She has published 50+ journal articles, alongside book chapters and edited books with various reputed publishers. P Beaulah Soundarabai, PhD, is an Associate Professor in the Department of Computer Science, Christ University, Bangalore, with 24 years of teaching experience. She received her doctoral degree from CHRIST University, India in 2015. Khoa Nguyen, PhD, is a Lecturer in Management and Innovation at Swinburne Vietnam alliance program with FPT University, and previously a Research Associate at the School of Business and Law, CQUniversity, Australia.