Innovation in Agriculture with IoT and AI

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.

Provides a descriptive analysis of agricultural work-related stresses in the worldwide farming-community Highlights the IoT and AI intervention-strategies for effective and efficient evaluation Examines issues such as musculoskeletal disorders, ergonomics and posture analysis

Auteur

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.

Contenu
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.