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Artificial Intelligence and Heuristics for Enhanced Food Security - Couverture rigide

Vuppalapati, Chandrasekar

 
9783031087424: Artificial Intelligence and Heuristics for Enhanced Food Security
Couverture rigide
ISBN 10 : 3031087429 ISBN 13 : 9783031087424
Editeur : Springer International Publishing AG, 2022

Synopsis

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.

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À propos de l'auteur

Chandrasekar 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 and program management. He has held engineering and product leadership positions at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies. Chandrasekar has an MS in software engineering from San Jose State University (USA) and an MBA from Santa Clara University (USA) and currently teaches software engineering, large-scale analytics, data science, mobile computing, cloud technologies, and web and data mining at San Jose State University (USA).


Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer International Publishing AG
Date d'édition
2022
Langue
anglais
ISBN 10 
3031087429
ISBN 13 
9783031087424
Reliure
Relié
Nombre de pages
921
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
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