Innovative and Intelligent Computing for Global Sustainability

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Bol This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. These areas are highly relevant in the current context, particularly for achieving sustainable development goals such as zero hunger, good health and well-being, and industry innovation and infrastructure. It bridges the gap between artificial intelligence and sustainable solutions, providing readers with cutting-edge research and practical applications aimed at addressing environmental challenges. By highlighting real-world case studies, the book demonstrates how intelligent systems can drive transformation to meet global sustainability goals. Through its interdisciplinary approach, it encourages collaboration across sectors to create sustainable solutions. It will serve as an invaluable resource for academicians, scientists, researchers, and industry experts worldwide, delving into research and development in the agriculture, healthcare, automation, and energy sectors. This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. These areas are highly relevant in the current context, particularly for achieving sustainable development goals such as zero hunger, good health and well-being, and industry innovation and infrastructure. It bridges the gap between artificial intelligence and sustainable solutions, providing readers with cutting-edge research and practical applications aimed at addressing environmental challenges. By highlighting real-world case studies, the book demonstrates how intelligent systems can drive transformation to meet global sustainability goals. Through its interdisciplinary approach, it encourages collaboration across sectors to create sustainable solutions. It will serve as an invaluable resource for academicians, scientists, researchers, and industry experts worldwide, delving into research and development in the agriculture, healthcare, automation, and energy sectors.

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This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. These areas are highly relevant in the current context, particularly for achieving sustainable development goals such as zero hunger, good health and well-being, and industry innovation and infrastructure. It bridges the gap between artificial intelligence and sustainable solutions, providing readers with cutting-edge research and practical applications aimed at addressing environmental challenges. By highlighting real-world case studies, the book demonstrates how intelligent systems can drive transformation to meet global sustainability goals. Through its interdisciplinary approach, it encourages collaboration across sectors to create sustainable solutions. It will serve as an invaluable resource for academicians, scientists, researchers, and industry experts worldwide, delving into research and development in the agriculture, healthcare, automation, and energy sectors. This book focuses on applying intelligent computing techniques for sustainable development in precision agriculture, digital healthcare, renewable energy, smart cities, and autonomous systems. These areas are highly relevant in the current context, particularly for achieving sustainable development goals such as zero hunger, good health and well-being, and industry innovation and infrastructure. It bridges the gap between artificial intelligence and sustainable solutions, providing readers with cutting-edge research and practical applications aimed at addressing environmental challenges. By highlighting real-world case studies, the book demonstrates how intelligent systems can drive transformation to meet global sustainability goals. Through its interdisciplinary approach, it encourages collaboration across sectors to create sustainable solutions. It will serve as an invaluable resource for academicians, scientists, researchers, and industry experts worldwide, delving into research and development in the agriculture, healthcare, automation, and energy sectors.


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