Machine Learning and Artificial Intelligence for Agricultural Economics/面向农业经济学机器学习与人工智能/基于ML&AI农业经济学
Computer Engineering San Jose State University San Jose, CA, USA

Textbook:Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide ... Research & Management Science, 314)
Author(s): Chandrasekar Vuppalapati

Description:
This coursebook is to prepare current and future data science, software engineering, and agriculture scientists’ teams with the skills and tools to fully utilize economic models to develop software capabilities that help to create lifesaving applications for small farmers. The book introduces essential agricultural economic concepts from the perspectives of full-scale software development with the emphasis on creating niche blue ocean products. It also:
• Outlines agricultural economic models for small farmers
• Outlines artificial intelligence software architectures and patterns to develop AI applications in agricultural economics
• Provides comprehensive AI algorithms and techniques to fully utilize agricultural datasets and World Development Indicators
• Provides exclusive AI deployments to serve small-scale farmers across the globe
• Explains AI solution development from agricultural and constrained device paradigms