Artificial Intelligence for Sustainable Development Goals Principles, Techniques, and Case Studies | 30.73 MB
Title: Artificial Intelligence for Sustainable Development Goals Principles, Techniques, and Case Studies
Author: Abhirup Khanna, Divya Srivastava, Ashutosh Mishra, Manoj Kumar, Abdul Rajak A. R
Category: Nonfiction, Computers, Advanced Computing, Engineering, Cybernetics, Science & Nature, Technology, Power Resources, Electronics
Language: English | 211 Pages | ISBN: 9783032282170
Description:
This book explores the transformative potential of artificial intelligence (AI) in addressing some of the most pressing global challenges identified by the United Nations’ Sustainable Development Goals (SDGs). In this comprehensive and insightful volume, readers will embark on a journey through the intersection of AI technologies and sustainable development, learning how innovative AI solutions can contribute to building a more equitable, resilient, and sustainable future. The book begins with an introduction to AI and its relevance to the SDGs, followed by chapters that explore diverse applications and innovations. Key topics include AI’s role in climate change mitigation and adaptation, predictive environmental modelling, and the enhancement of renewable energy systems. The book also covers AI applications in agriculture, water resource management, urban planning, waste management, and biodiversity conservation. The authors also address the integration of AI in sustainable transportation systems, disaster risk reduction, and healthcare. Real case studies enable readers to gain practical insights into successful AI-driven projects that advance sustainable development goals.
This book explores the transformative potential of artificial intelligence (AI) in addressing some of the most pressing global challenges identified by the United Nations’ Sustainable Development Goals (SDGs). In this comprehensive and insightful volume, readers will embark on a journey through the intersection of AI technologies and sustainable development, learning how innovative AI solutions can contribute to building a more equitable, resilient, and sustainable future. The book begins with an introduction to AI and its relevance to the SDGs, followed by chapters that explore diverse applications and innovations. Key topics include AI’s role in climate change mitigation and adaptation, predictive environmental modelling, and the enhancement of renewable energy systems. The book also covers AI applications in agriculture, water resource management, urban planning, waste management, and biodiversity conservation. The authors also address the integration of AI in sustainable transportation systems, disaster risk reduction, and healthcare. Real case studies enable readers to gain practical insights into successful AI-driven projects that advance sustainable development goals.
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