Machine Learning and Artificial Intelligence for Agricultural Economics

Prognostic Data Analytics to Serve Small Scale Farmers Worldwide

By:

Chandrasekar Vuppalapati

Format:

Hardback

Series:

International Series in Operations Research & Management Science

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Description

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.

Author Biography:

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.

Release date Australia

October 5th, 2021

Author

Chandrasekar Vuppalapati

Audience

Professional & Vocational

Edition

1st ed. 2021

Illustrations

286 Illustrations, color; 31 Illustrations, black and white; XIX, 599 p. 317 illus., 286 illus. in color.

Pages

599

Series

International Series in Operations Research & Management Science

ISBN-13

9783030774844

Product ID

34846673

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