Computer Vision in Smart Agriculture and Crop Management

Table of Contents

1. Cover
2. Table of Contents
3. Series Page
4. Title Page
5. Copyright Page
6. Preface
7. 1 Computer Vision-Based Innovations for Smart Agriculture and Crop Surveillance: Evolution, Trends, and Future Challenges
   1. 1.1 Introduction
   2. 1.2 Artificial Intelligence in Agriculture
   3. 1.3 Evolution of Smart Agriculture
   4. 1.4 AI Technology Trends in Computer Vision
   5. 1.5 Benefits of Artificial Intelligence in Agriculture
   6. 1.6 Precision Farming
   7. 1.7 Future Challenges
   8. 1.8 Conclusion
   9. References
8. 2 Cyber Biosecurity Solutions for Protecting Smart Agriculture and Precision Farming
   1. 2.1 Introduction
   2. 2.2 Cyber-Attacks on SF and PA
   3. 2.3 Network and Related Equipment Attacks
   4. 2.4 Security Threats to SF and PA Using the Cyber-Kill-Chain (CKC) Taxonomy
   5. 2.5 The Taxonomy
   6. 2.6 Data Collection
   7. 2.7 Vulnerability of the Food and Agricultural System and the Bio Economy
   8. 2.8 The APTs in SF and PA
   9. 2.9 Challenges in the Implementation of Technologies in the Agricultural Sector
   10. 2.10 Open Challenges and Research Areas
   11. 2.11 Conclusions
   12. References
9. 3 Precision Smart Farming and Cultivation with Virtual Reality/Augmented Reality Technology - Applications and Use Cases
   1. 3.1 Introduction
   2. 3.2 Advantages of Precision Smart Farming
   3. 3.3 Disadvantages of Precision-Smart Farming
   4. 3.4 How Could India Benefit from Precision Farming?
   5. 3.5 Challenges in Adopting Precision Farming in India
   6. 3.6 Cultivation with Virtual Reality/Augmented Reality Technology
   7. 3.7 Benefits of Cultivation with Virtual/Augmented Reality Technology
   8. 3.8 Conclusion
   9. 3.9 Summary ...