Agricultural Informatics. Группа авторов

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      12  8 Development of IoT-Based Smart Security and Monitoring Devices for Agriculture 8.1 Introduction 8.2 Background & Related Works 8.3 Proposed Model 8.4 Methodology 8.5 Performance Analysis 8.6 Future Research Direction 8.7 Conclusion References

      13  9 An Integrated Application of IoT-Based WSN in the Field of Indian Agriculture System Using Hybrid Optimization Technique and Machine Learning 9.1 Introduction 9.2 Literature Review 9.3 Proposed Hybrid Algorithms (GA-MWPSO) 9.4 Reliability Optimization and Coverage Optimization Model 9.5 Problem Description 9.6 Numerical Examples, Results and Discussion 9.7 Conclusion References

      14  10 Decryption and Design of a Multicopter Unmanned Aerial Vehicle (UAV) for Heavy Lift Agricultural Operations 10.1 Introduction 10.2 History of Multicopter UAVs 10.3 Basic Components of Multicopter UAV 10.4 Working and Control Mechanism of Multicopter UAV 10.5 Design Calculations and Selection of Components 10.6 Conclusion References

      15  11 IoT-Enabled Agricultural System Application, Challenges and Security Issues 11.1 Introduction 11.2 Background & Related Works 11.3 Challenges to Implement IoT-Enabled Systems 11.4 Security Issues and Measures 11.5 Future Research Direction 11.6 Conclusion References

      16  12 Plane Region Step Farming, Animal and Pest Attack Control Using Internet of Things 12.1 Introduction 12.2 Proposed Work 12.3 Irrigation Methodology 12.4 Sensor Connection Using Internet of Things 12.5 Placement of Sensor in the Field 12.6 Conclusion References

      17  Index

      18  End User License Agreement

      Guide

      1  Cover

      2  Table of Contents

      3  Title page

      4  Copyright

      5  Preface

      6  Begin Reading

      7  Index

      8  End User License Agreement

       List of Illustrations

      1 Chapter 1Figure 1.1 Layers and connection of a feed-forward back propagation ANN [2].Figure 1.2 Fuzzy cluster membership function representation in various field [9]...Figure 1.3 Decision tree structure for crop details prediction [4].

      2 Chapter 2Figure 2.1 Applications of agro-IoT.Figure 2.2 Flow chart of step by step process of agro-IoT farming.Figure 2.3 Proposed prototype model for integrated Agro-IoT system.Figure 2.4 Proposed image processing method to detect pest and weed.Figure 2.5 Proposed image processing method to detect fire region.Figure 2.6 Beaglebone black.

      3 Chapter 3Figure СКАЧАТЬ