Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide

By Chandrasekar Vuppalapati

1. Introduction.- 2. Data Engineering and Exploratory Data Analysis Techniques.- 3. Agricultural Economy and ML Models.- 4. Commodity Markets - Machine Learning Techniques.- 5. Weather Patterns and Machine Learning.- 6. Agriculture Employment and the Role of AI in improving Productivity.- 7. Role of Government and the AI Readiness.- 8. Future.

• Format: Hardcover
• Language: English
• ISBN: 3030774848
• ISBN13: 9783030774844
• Release Date: October 2021
• Publisher: Springer
• Length: 599 Pages
• Weight: 2.29 lbs.
• Dimensions: 1.3" x 6.1" x 9.2"