You're reading from Architectural Patterns and Techniques for Developing IoT Solutions Build IoT applications using digital twins, gateways, rule engines, AI/ML integration, and related patterns

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781803245492

Length 304 pages

Edition 1st Edition

Tools

Combine

Concepts

IoT Development

Author (1):

Jasbir Singh Dhaliwal

Preface

1. Part 1: Understanding IoT Patterns

2. Chapter 1: Introduction to IoT Patterns FREE CHAPTER

3. Chapter 2: IoT Patterns for Field Devices

4. Chapter 3: IoT Patterns for the Central Server

5. Part 2: IoT Patterns in Action

6. Chapter 4: Pattern Implementation in the Consumer Domain

7. Chapter 5: Pattern Implementation in the Smart City Domain

8. Chapter 6: Pattern Implementation in the Retail Domain

9. Chapter 7: Pattern Implementation in the Manufacturing Domain

10. Chapter 8: Pattern Implementation in the Agriculture Domain

11. Part 3: Implementation Considerations

12. Chapter 9: Sensor and Actuator Selection Guidelines

13. Chapter 10: Analytics in the IoT Context

14. Chapter 11: Security in the IoT Context

15. Part 4: Extending IoT Solutions

16. Chapter 12: Exploring Synergies with Emerging Technologies

17. Chapter 13: Epilogue

18. Index

19. Other Books You May Enjoy

Use cases of IoT in smart agriculture

IoT can be implemented in various ways in the smart agriculture domain. These include the following:

Soil/crop health monitoring:
- Measuring temperature, moisture, pH values, and lighting conditions in real time
- Determining chemical (fertilizer) composition
- Wind speed/direction sensing
- Frost detection/avoidance
- Pest control
- Climate monitoring and forecasting
- Comparing crop growth, leaf size, and crop pigmentation with similar crops and conditions
- Preventing soil degradation
Enhancing agricultural yield:
- Predicting the optimum time to plant, irrigate, and harvest crops
- Predictive maintenance of farm equipment
- Reducing paperwork while making insurance claims (e.g., crop/livestock damage)
- Farm asset monitoring
- Automatic irrigation
- Aligning irrigation cycles with predicted weather conditions
- Reducing crop damage via a disease or adverse environmental condition by leveraging predictive analytics
- Evaluating and neutralizing the effects of the previous season...