Читать книгу Agricultural Informatics - Группа авторов - Страница 2
Table of Contents
Оглавление1 Cover
4 Preface
5 1 A Study on Various Machine Learning Algorithms and Their Role in Agriculture 1.1 Introduction 1.2 Conclusions References
6 2 Smart Farming Using Machine Learning and IoT 2.1 Introduction 2.2 Related Work 2.3 Problem Identification 2.4 Objective Behind the Integrated Agro-IoT System 2.5 Proposed Prototype of the Integrated Agro-IoT System 2.6 Hardware Component Requirement for the Integrated Agro-IoT System 2.7 Comparative Study Between Raspberry Pi vs Beaglebone Black 2.8 Conclusions 2.9 Future Work References
7 3 Agricultural Informatics vis-à-vis Internet of Things (IoT): The Scenario, Applications and Academic Aspects — International Trend & Indian Possibilities 3.1 Introduction 3.2 Objectives 3.3 Methods 3.4 Agricultural Informatics: An Account 3.5 Agricultural Informatics & Technological Components: Basics & Emergence 3.6 IoT: Basics and Characteristics 3.7 IoT: The Applications & Agriculture Areas 3.8 Agricultural Informatics & IoT: The Scenario 3.9 IoT in Agriculture: Requirement, Issues & Challenges 3.10 Development, Economy and Growth: Agricultural Informatics Context 3.11 Academic Availability and Potentiality of IoT in Agricultural Informatics: International Scenario & Indian Possibilities 3.12 Suggestions 3.13 Conclusion References
8 4 Application of Agricultural Drones and IoT to Understand Food Supply Chain During Post COVID-19 4.1 Introduction 4.2 Related Work 4.3 Smart Production With the Introduction of Drones and IoT 4.4 Agricultural Drones 4.5 IoT Acts as a Backbone in Addressing COVID-19 Problems in Agriculture 4.6 Conclusion References
9 5 IoT and Machine Learning-Based Approaches for Real Time Environment Parameters Monitoring in Agriculture: An Empirical Review 5.1 Introduction 5.2 Machine Learning (ML)-Based IoT Solution 5.3 Motivation of the Work 5.4 Literature Review of IoT-Based Weather and Irrigation Monitoring for Precision Agriculture 5.5 Literature Review of Machine Learning-Based Weather and Irrigation Monitoring for Precision Agriculture 5.6 Challenges 5.7 Conclusion and Future Work References
10 6 Deep Neural Network-Based Multi-Class Image Classification for Plant Diseases 6.1 Introduction 6.2 Related Work 6.3 Proposed Work 6.4 Results and Evaluation 6.5 Conclusion References
11 7 Deep Residual Neural Network for Plant Seedling Image Classification 7.1 Introduction 7.2 Related Work 7.3 Proposed Work 7.4 Result and Evaluation 7.5 Conclusion References
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
