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

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Description


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.

About the Author


Chandra Vuppalapati is a seasoned Software IT Executive with diverse experience in software technologies, enterprise software architectures, cloud computing, big data business analytics, internet of things (IoT), and software product & program management. Chandra has held engineering and product leadership roles at GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies. Chandra has an MS in software engineering form San Jose State University (US) and an MBA from Santa Clara University (US) and teaches software engineering, mobile computing, cloud technologies, and web & data mining at San Jose State University.
Product Details
ISBN: 9783030774844
ISBN-10: 3030774848
Publisher: Springer
Publication Date: August 26th, 2021
Pages: 668
Language: English