Artificial Intelligence for Precision Agriculture

Auteur

Pethuru Raj Chellah is the chief architect at Edge AI Division, Reliance Jio Platforms Ltd. (JPL), Bangalore, India.

N.Gayathri is an assistant professor in the Department of Computer Science and Engineering at GITAM University, Bengaluru, India.

G. Jaspher Willsie Kathrine, is an associate professor, and programme oordinator - CSE at the Department of Computing Science and Engineering, Kayruna Institute of Technology and Sciences, Coimbatore, India.

Résumé
The book articulates how AI can be channeled to make a perceptible impact on agriculture through digital transformation. Use cases illustrate how AI can simplify and speed this agricultural transformation. Focusing on the distinct characteristics of AI, the book explains how to intelligently automate agriculture processes and practices.

Contenu

1. Machine Learning Algorithms and Applications 2. Introduction to Deep Learning 3. Role of AI in the Field of Precision Agriculture 4. How AI Contributes to Precision Agriculture 5. AI Model Generation Platforms 6. AI Deployment Models in Precision Agriculture 7. AI Model Deployment: Enhanced Rice Plant Disease Detection and Classification Besides Improved Spatial Pyramid with Enhanced YOLOv7 8. Sustainable Farming through AI-Enabled Precision Agriculture 9. The Significance of Data Integration and Ingestion in Enhancing Agricultural Operations: A Comprehensive Exploration 10. Revolutionizing Crop Yield Prediction in Agriculture: Harnessing Machine Learning and Environment Factors for Effective Solutions in the Face of Climate Change 11. AI in Optimization of Agricultural Output in Precision Agriculture 12. Data Analytics Methods for Precision Agriculture 13. Data Analytics Methods: A Hands-On Approach for Precision Agriculture 14. Smart Sensing Technologies and Data Analytics for Precision Agriculture 15. Knowledge Visualization Tools Relating to Agriculture