This book brings new smart farming methodologies to the forefront, sparked by pervasive applications with automated farming technology. New indigenous expertise on smart agricultural technologies is presented along with conceptual prototypes showing how the Internet of Things, cloud computing, machine learning, deep learning, precision farming, crop management systems, etc., will be used in large-scale production in the future. The necessity of available welfare systems for farmers’ well-being is also discussed in the book. It draws the conclusion that there is a greater need and demand today for smart farming methodologies driven by technology than ever before.
Table of Contents:
1. Introduction to Smart Agriculture
2. Modern Agriculture Farming: Rack and Pinion Mechanism-based Remote Controlled Seed Sowing Robot
3. Crop Management System
4. Autonomous Devices in Smart Farming
5. Predictive Analysis in Smart Agriculture
6. Machine Learning in Smart Agriculture
7. Deep Learning in Smart Agriculture
8. Image Analysis for Better Yield in Farming
9. Precision Farming for Crop Prediction
10. Decision-Making Support in Smart Farming
11. Indigenous Knowledge in Smart Agriculture
12. Climate Change and Its Impact on Agriculture
13. Cropping Pattern in Farming
14. Crop Welfare and Security to Farmers
15. Urban Farming: Case Study
16. IoT: Applications and Case Study in Smart Farming
17. Future of Farming
