This book explores the intersection of the Internet of Things (Io T) and Artificial Intelligence (AI) in sustaining a green environment, sustainable societies, and thriving industries. It offers a comprehensive exploration of how these technologies intersect and transform various sectors to enhance environmental conservation, societal well-being, and industrial progress. The book features a diverse array of case studies, methodologies, and notes on technological advancements. Readers will gain valuable insights into the impact of AI and Io T on sustainable initiatives through real-world examples, research findings, and discussions on future directions.
Key themes
AI in complex and versatile scenarios: Chapters 1 and 4 explore AI applications in combatant identification and COVID-19 monitoring
Io T for efficiency and data-driven decision-making: Chapters 2, 3, and 7 focus on Io T implementations in battery monitoring for electric vehicles, healthcare systems, and precision farming
AI for diagnostics and computer vision: Chapters 5, 9, and 13 highlight AI-driven solutions for plant disease detection, fetal spine disorder detection, and defect detection
Industry applications: Chapters 6, 8, 10, 11, 12, 14, 15, 16, and 17 cover AI and Io T in healthcare, transportation, supply chain management, endangered species protection, crop management, and pollution detection, showcasing their transformative potential across various domains.
This book is ideal for readers with multidisciplinary backgrounds, including researchers, academics, professionals, and students interested in Io T, AI, environmental sustainability, healthcare, agriculture, smart technologies, and industrial innovation.
Readership
Researchers, academics, professionals, and students interested in sustainable AI and Io T.’
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