Artificial Intelligence and Heuristics for Enhanced Food Security

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Éditeur :

Springer


Collection :

International Series in Operations Research & Management Science

Paru le : 2022-09-16

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Description

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.
Pages
891 pages
Collection
International Series in Operations Research & Management Science
Parution
2022-09-16
Marque
Springer
EAN papier
9783031087424
EAN PDF
9783031087431

Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
89
Taille du fichier
48937 Ko
Prix
147,69 €
EAN EPUB
9783031087431

Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
89
Taille du fichier
181094 Ko
Prix
147,69 €