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Machine Learning and Artificial Intelligence for Agricultural Economics

Prognostic Data Analytics to Serve Small Scale Farmers Worldwide

Produktform: Buch / Einband - fest (Hardcover)

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. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-030-77484-4 / 978-3030774844 / 9783030774844

Verlag: Springer International Publishing

Erscheinungsdatum: 05.10.2021

Seiten: 599

Auflage: 1

Autor(en): Chandrasekar Vuppalapati

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