Vuppalapati

Artificial Intelligence and Heuristics for Enhanced Food Security

Springer

ISBN 978-3-031-08745-5

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Bibliografische Daten

Fachbuch

Buch. Softcover

2023

1 s/w-Abbildung, Bibliographien.

In englischer Sprache

Umfang: xxx, 891 S.

Format (B x L): 15,5 x 23,5 cm

Gewicht: 1389

Verlag: Springer

ISBN: 978-3-031-08745-5

Weiterführende bibliografische Daten

Produktbeschreibung

This book introduces readers to advanced data science techniques for signal mining in connection with agriculture. It shows how to apply heuristic modeling to improve farm-level efficiency, and how to use sensors and data intelligence to provide closed-loop feedback, while also providing recommendation techniques that yield actionable insights. The book also proposes certain macroeconomic pricing models, which data-mine macroeconomic signals and the influence of global economic trends on small-farm sustainability to provide actionable insights to farmers, helping them avoid financial disasters due to recurrent economic crises. The book is intended to equip current and future software engineering teams and operations research experts with the skills and tools they need in order to fully utilize advanced data science, artificial intelligence, heuristics, and economic models to develop software capabilities that help to achieve sustained food security for future generations.

Autorinnen und Autoren

Kundeninformationen

Presents heuristics and mathematical optimization techniques to address supply-chain and food production issues Introduces machine learning, artificial intelligence, and data science techniques Proposes macroeconomic and agricultural economics data science techniques to ensure small farms' economic sustainability

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