Artificial intelligence (AI) and green technology are increasingly intertwined, playing a critical role in driving sustainable solutions across various sectors of society. AI-powered systems optimize energy consumption by predicting demand and enhancing the efficiency of renewable energy sources like solar and wind power. In agriculture, AI enables precision farming, reducing waste, and conserving resources by analyzing soil conditions, weather patterns, and crop health. Additionally, AI contributes to the development of smart cities, where it helps reduce carbon emissions through traffic optimization, energy-efficient buildings, and sustainable waste management. Combined with green technologies, AI accelerates innovation, fostering a more sustainable and eco-conscious society. AI and Green Technology Applications in Society explores the intersection of AI and sustainable technologies, detailing how AI is driving innovation in environmental conservation and energy efficiency. It further delves into ethical implications, challenges, and the future potential of integrating AI with green technologies to promote a sustainable and eco-friendly future. Covering topics such as climate change, precision agriculture, and smart cities, this book is an excellent resource for AI researchers, policymakers, sustainability professionals, academicians, graduate and postgraduate students, and more.

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