Contents

Chapters in this book

1. Frontmatter I
2. Preface VII
3. Acknowledgments IX
4. Contents XI
5. List of contributors XIII
6. Part I: Machine learning and Internet of things in agriculture
7. 1 Smart farming: using IoT and machine learning techniques 3
8. 2 Food security and farming through IoT and machine learning 21
9. 3 An innovative combination for new agritechnological era 41
10. 4 Recent advancements and challenges of artificial intelligence and IoT in agriculture 65
11. 5 Technological impacts and challenges of advanced technologies in agriculture 83
12. Part II: Applications of Internet of things in agriculture
13. 6 IoT-based platform for smart farming – Kaa 109
14. 7 Internet of things platform for smart farming 131
15. 8 Internet of things platform for smart farming 159
16. 9 Internet of things platform for smart farming 169
17. Part III: Applications of machine learning in agriculture
18. 10 Kisan-e-Mitra: a tool for soil quality analyzer and recommender system 205
19. 11 Artificial intelligence for plant disease detection: past, present, and future 223
20. 12 Wheat rust disease identification using deep learning 239
21. 13 Image-based hibiscus plant disease detection using deep learning 251
22. 14 Rainfall prediction by applying machine learning technique 275
23. 15 Plant leaf disease classification based on feature selection and deep neural network 293
24. 16 Using deep learning for image-based plant disease detection 323
25. 17 Using deep learning for image-based plant disease detection 355
26. 18 Using deep learning for image-based plant disease detection 369
27. Index 403