Overview
- 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
Part of the book series: Innovation, Technology, and Knowledge Management (ITKM)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Innovation in Agriculture with IoT and AI
Authors: Suchismita Satapathy, Debesh Mishra, Arturo Realyvásquez Vargas
Series Title: Innovation, Technology, and Knowledge Management
DOI: https://doi.org/10.1007/978-3-030-88828-2
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-88827-5Published: 17 December 2021
Softcover ISBN: 978-3-030-88830-5Published: 18 December 2022
eBook ISBN: 978-3-030-88828-2Published: 01 January 2022
Series ISSN: 2197-5698
Series E-ISSN: 2197-5701
Edition Number: 1
Number of Pages: XVII, 114
Number of Illustrations: 8 b/w illustrations, 23 illustrations in colour
Topics: Business and Management, general, Agricultural Economics, Cyber-physical systems, IoT, Professional Computing, Machine Learning