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Agricultural Informatics

Release Date: 2021/04/01
ISBN: 9781119768845
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Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc.

Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.

Table of Contents

  1. Cover
  2. Title page
  3. Copyright
  4. Preface
  5. 1 A Study on Various Machine Learning Algorithms and Their Role in Agriculture
    1. 1.1 Introduction
    2. 1.2 Conclusions
    3. References
  6. 2 Smart Farming Using Machine Learning and IoT
    1. 2.1 Introduction
    2. 2.2 Related Work
    3. 2.3 Problem Identification
    4. 2.4 Objective Behind the Integrated Agro-IoT System
    5. 2.5 Proposed Prototype of the Integrated Agro-IoT System
    6. 2.6 Hardware Component Requirement for the Integrated Agro-IoT System
    7. 2.7 Comparative Study Between Raspberry Pi vs Beaglebone Black
    8. 2.8 Conclusions
    9. 2.9 Future Work
    10. References
  7. 3 Agricultural Informatics vis-à-vis Internet of Things (IoT): The Scenario, Applications and Academic Aspects — International Trend & Indian Possibilities
    1. 3.1 Introduction
    2. 3.2 Objectives
    3. 3.3 Methods
    4. 3.4 Agricultural Informatics: An Account
    5. 3.5 Agricultural Informatics & Technological Components: Basics & Emergence
    6. 3.6 IoT: Basics and Characteristics
    7. 3.7 IoT: The Applications & Agriculture Areas
    8. 3.8 Agricultural Informatics & IoT: The Scenario
    9. 3.9 IoT in Agriculture: Requirement, Issues & Challenges
    10. 3.10 Development, Economy and Growth: Agricultural Informatics Context
    11. 3.11 Academic Availability and Potentiality of IoT in Agricultural Informatics: International Scenario & Indian Possibilities
    12. 3.12 Suggestions
    13. 3.13 Conclusion
    14. References
  8. 4 Application of Agricultural Drones and IoT to Understand Food Supply Chain During Post COVID-19
    1. 4.1 Introduction
    2. 4.2 Related Work
    3. 4.3 Smart Production With the Introduction of Drones and IoT
    4. 4.4 Agricultural Drones
    5. 4.5 IoT Acts as a Backbone in Addressing COVID-19 Problems in Agriculture
    6. 4.6 Conclusion
    7. References
  9. 5 IoT and Machine Learning-Based Approaches for Real Time Environment Parameters Monitoring in Agriculture: An Empirical Review
    1. 5.1 Introduction
    2. 5.2 Machine Learning (ML)-Based IoT Solution
    3. 5.3 Motivation of the Work
    4. 5.4 Literature Review of IoT-Based Weather and Irrigation Monitoring for Precision Agriculture
    5. 5.5 Literature Review of Machine Learning-Based Weather and Irrigation Monitoring for Precision Agriculture
    6. 5.6 Challenges
    7. 5.7 Conclusion and Future Work
    8. References
  10. 6 Deep Neural Network-Based Multi-Class Image Classification for Plant Diseases
    1. 6.1 Introduction
    2. 6.2 Related Work
    3. 6.3 Proposed Work
    4. 6.4 Results and Evaluation
    5. 6.5 Conclusion
    6. References
  11. 7 Deep Residual Neural Network for Plant Seedling Image Classification
    1. 7.1 Introduction
    2. 7.2 Related Work
    3. 7.3 Proposed Work
    4. 7.4 Result and Evaluation
    5. 7.5 Conclusion
    6. References
  12. 8 Development of IoT-Based Smart Security and Monitoring Devices for Agriculture
    1. 8.1 Introduction
    2. 8.2 Background & Related Works
    3. 8.3 Proposed Model
    4. 8.4 Methodology
    5. 8.5 Performance Analysis
    6. 8.6 Future Research Direction
    7. 8.7 Conclusion
    8. References
  13. 9 An Integrated Application of IoT-Based WSN in the Field of Indian Agriculture System Using Hybrid Optimization Technique and Machine Learning
    1. 9.1 Introduction
    2. 9.2 Literature Review
    3. 9.3 Proposed Hybrid Algorithms (GA-MWPSO)
    4. 9.4 Reliability Optimization and Coverage Optimization Model
    5. 9.5 Problem Description
    6. 9.6 Numerical Examples, Results and Discussion
    7. 9.7 Conclusion
    8. References
  14. 10 Decryption and Design of a Multicopter Unmanned Aerial Vehicle (UAV) for Heavy Lift Agricultural Operations
    1. 10.1 Introduction
    2. 10.2 History of Multicopter UAVs
    3. 10.3 Basic Components of Multicopter UAV
    4. 10.4 Working and Control Mechanism of Multicopter UAV
    5. 10.5 Design Calculations and Selection of Components
    6. 10.6 Conclusion
    7. References
  15. 11 IoT-Enabled Agricultural System Application, Challenges and Security Issues
    1. 11.1 Introduction
    2. 11.2 Background & Related Works
    3. 11.3 Challenges to Implement IoT-Enabled Systems
    4. 11.4 Security Issues and Measures
    5. 11.5 Future Research Direction
    6. 11.6 Conclusion
    7. References
  16. 12 Plane Region Step Farming, Animal and Pest Attack Control Using Internet of Things
    1. 12.1 Introduction
    2. 12.2 Proposed Work
    3. 12.3 Irrigation Methodology
    4. 12.4 Sensor Connection Using Internet of Things
    5. 12.5 Placement of Sensor in the Field
    6. 12.6 Conclusion
    7. References
  17. Index
  18. End User License Agreement
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