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.
Author(s): Suchismita Satapathy, Debesh Mishra, Arturo Realyvásquez Vargas
Series: Innovation, Technology, and Knowledge Management
Publisher: Springer
Year: 2022
Language: English
Pages: 226
City: Cham
Preface
Contents
About the Authors
Abbreviations
List of Figures
List of Tables
Chapter 1: The Prevailing Problems in the Global Agri-Sectors
1.1 Introduction
1.2 Agri-Sectors Problems All Over the World
1.3 Agri-Sectors Problems Due to Physical-Stress
1.4 Agri-Sectors Problems Due to Mental Stress
1.5 Food Safety
1.6 Research Questions
1.7 Important Points
References
Chapter 2: Literature on the Global Agri-Sectors: An Overview
2.1 Introduction
2.2 Literature Review on Agri-Farming
2.3 Literature Review on Physical Workload
2.4 Literature Review on Mental Workload
2.5 Literature Review on Agri-Problems and Models
References
Chapter 3: Features of ‘Internet of Things’ to Resolve Agricultural Problems
3.1 Introduction
3.2 Ergonomic and Posture Analysis in Farming
3.2.1 Posture Analysis Using Ergonomic Tool
3.3 MSDs Problems in Agri-Farming
3.3.1 Evaluation of MSDs Among the Farmers
3.4 Agri-Equipment and IoT to Resolve the Physical Stress
3.4.1 Developing IoT-Based Equipment to Reduce the Physical Stress of Farmers
3.4.1.1 SWOT Analysis
3.4.1.2 Fuzzy Logic Modeling for Physical Stress Among Farmers
3.4.1.3 Proposed Equipment
3.5 Conclusion
References
Chapter 4: Measurement and Prediction of Mental Stress Through Innovative Equipment in Agriculture
4.1 Introduction
4.2 Mental Workload in Agri-Farming
4.3 Prediction of Mental Workload and Its Impact Due to Physical Stress
4.3.1 Data Collection and Analysis
4.3.2 Fuzzy Logic Modeling for Farmers’ Mental Stress Based on BPL and BT
4.3.3 ANFIS-Based Prediction of Farmers’ Mental Stress
4.4 Innovative Equipment to Measure Mental Workload
4.5 Conclusion
4.5.1 Recommendations with Proposed Equipment or Devices
References
Chapter 5: Personal Protective Equipment for Farmers
5.1 Introduction
5.2 Farm Related Injuries and the Usefulness of Personal Protective Equipment
5.2.1 Use of Hand Gloves in Agriculture
5.2.2 Need of Protective Cap for Farmers
5.3 Recommended Design Concepts for the Global Farming-Community
5.3.1 Design of Multi-Purpose Hand Gloves
5.3.1.1 Benefits to the Society
5.3.2 Design of Multi-Purpose Farmers’ Protective Hats
5.4 Conclusion
References
Chapter 6: Food Safety and IoT-Based Solution
6.1 Introduction
6.2 Literature Review
6.3 Research Methodology
6.3.1 Identification of the Associated Challenges for the Worldwide Food and Agricultural Systems
6.3.2 Steps-Involved in ‘SWARA Method’
6.4 Results
6.5 Discussion
6.5.1 Need of Food Safety Measures
6.5.2 Design Concept
6.5.3 Working Principle and Future Scope of the Proposed Device
6.6 Conclusion
References
Chapter 7: Findings and Future Implications
7.1 Introduction
7.1.1 Strength, Weakness, Opportunities and Threats (SWOT) Analysis of Technologically Advanced Devices Over Existing Conventional Agricultural Systems and Techniques
7.2 Conclusion
7.3 Future Scope
References
Index
