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E-grāmata: Innovation in Agriculture with IoT and AI

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Innovation in Agriculture with IoT and AIPalielināt
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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.

1 The Prevailing Problems in the Global Agri-Sectors
1(12)
1.1 Introduction
1(1)
1.2 Agri-Sectors Problems All Over the World
2(3)
1.3 Agri-Sectors Problems Due to Physical-Stress
5(1)
1.4 Agri-Sectors Problems Due to Mental Stress
6(1)
1.5 Food Safety
7(1)
1.6 Research Questions
7(1)
1.7 Important Points
8(1)
References
9(4)
2 Literature on the Global Agri-Sectors: An Overview
13(16)
2.1 Introduction
13(1)
2.2 Literature Review on Agri-Farming
14(1)
2.3 Literature Review on Physical Workload
15(1)
2.4 Literature Review on Mental Workload
16(1)
2.5 Literature Review on Agri-Problems and Models
17(4)
References
21(8)
3 Features of `Internet of Things' to Resolve Agricultural Problems
29(24)
3.1 Introduction
29(2)
3.2 Ergonomic and Posture Analysis in Farming
31(4)
3.2.1 Posture Analysis Using Ergonomic Tool
33(2)
3.3 MSDs Problems in Agri-Farming
35(4)
3.3.1 Evaluation of MSDs Among the Fanners
37(2)
3.4 Agri-Equipment and IoT to Resolve the Physical Stress
39(8)
3.4.1 Developing IoT-Based Equipment to Reduce the Physical Stress of Farmers
42(5)
3.5 Conclusion
47(1)
References
48(5)
4 Measurement and Prediction of Mental Stress Through Innovative Equipment in Agriculture
53(16)
4.1 Introduction
53(1)
4.2 Mental Workload in Agri-Farming
54(1)
4.3 Prediction of Mental Workload and Its Impact Due to Physical Stress
55(7)
4.3.1 Data Collection and Analysis
57(1)
4.3.2 Fuzzy Logic Modeling for Farmers' Mental Stress Based on BPL and BT
58(3)
4.3.3 ANFIS-Based Prediction of Farmers' Mental Stress
61(1)
4.4 Innovative Equipment to Measure Mental Workload
62(1)
4.5 Conclusion
63(2)
4.5.1 Recommendations with Proposed Equipment or Devices
64(1)
References
65(4)
5 Personal Protective Equipment for Farmers
69(10)
5.1 Introduction
69(1)
5.2 Farm Related Injuries and the Usefulness of Personal Protective Equipment
70(2)
5.2.1 Use of Hand Gloves in Agriculture
71(1)
5.2.2 Need of Protective Cap for Farmers
72(1)
5.3 Recommended Design Concepts for the Global Farming-Community
72(3)
5.3.1 Design of Multi-Purpose Hand Gloves
72(2)
5.3.2 Design of Multi-Purpose Farmers' Protective Hats
74(1)
5.4 Conclusion
75(1)
References
76(3)
6 Food Safety and IoT-Based Solution
79(20)
6.1 Introduction
79(1)
6.2 Literature Review
80(4)
6.3 Research Methodology
84(3)
6.3.1 Identification of the Associated Challenges for the Worldwide Food and Agricultural Systems
85(1)
6.3.2 Steps-Involved in `SWARA Method'
86(1)
6.4 Results
87(1)
6.5 Discussion
88(4)
6.5.1 Need of Food Safety Measures
90(1)
6.5.2 Design Concept
90(2)
6.5.3 Working Principle and Future Scope of the Proposed Device
92(1)
6.6 Conclusion
92(1)
References
93(6)
7 Findings and Future Implications
99(14)
7.1 Introduction
99(7)
7.1.1 Strength, Weakness, Opportunities and Threats (SWOT) Analysis of Technologically Advanced Devices Over Existing Conventional Agricultural Systems and Techniques
102(4)
7.2 Conclusion
106(2)
7.3 Future Scope
108(1)
References
109(4)
Index 113
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 Realyvįsquez 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.
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