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International Series in Operations Research & Management Science: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
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International Series in Operations Research & Management Science: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
Vuppalapati, Chandrasekar
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.Details
Published by: Springer
Publication Date: 2022-10-06
Format: Paperback
ISBN-13: 9783030774875
DOI: 10.1007/978-3-030-77485-1
Dimensions: 235cm x155cm
Pages: 599