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This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.
Sommario
Chapter 1. The Prevailing Problems in the Global Agri-sectors.- Chapter 2. Literature on the Global Agri-sectors: An Overview.- Chapter 3. Features of 'Internet of Things' to Resolve Agricultural Problems.- Chapter 4. Measurement and Prediction of Mental Stress Through Innovative Equipment in Agriculture.- Chapter 5. Personal Protective Equipment for Farmers.- Chapter 6. Food safety and IoT-based Solution.- Chapter 7. Findings and future implications.
Info autore
Suchismita Satapathy is an Associate Professor in the School of Mechanical Sciences, KIIT University (Odisha, India). She has been published in many national and international journals and conferences. Her areas of interest include operations management, operation research, accoustics, sustainability, and supply chain management.
Debesh Mishra has published works on the musculoskeletal disorders of farmers and the design and development of ergonomic-based viable agriculture equipment.
Arturo Realyvásquez Vargas is Professor of Industrial Engineering at the Tijuana Institute of Technology (Mexico). He has Authored/Co-authored over a dozen academic papers indexed international journals and has attended international conferences and congress in Mexico as well as in the United States.
