Artificial Intelligence and Heuristics for Enhanced Food Security (eBook)

Artikelnummer: 978-3-031-08743-1
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.



accessibilitysupport@springernature.com

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.



accessibilitysupport@springernature.com
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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2022
Seitenangabe891 S.
AusgabekennzeichenEnglisch
AbbildungenXXX, 891 p. 1 illus.
Masse48'935 KB
PlattformPDF
ReiheInternational Series in Operations Research & Management Science; Business and Management; Business and Management
AutorVuppalapati, Chandrasekar

Alle Bände der Reihe "International Series in Operations Research & Management Science; Business and Management; Business and Management (R0)"

Über den Autor Chandrasekar Vuppalapati

Chandrasekar Vuppalapati is a Software Principal Architect, CTO, Executive, Entrepreneur, Industrialist, and Educator with expertise in Enterprise Software Architectures, Cloud Computing, Artificial Intelligence, Machine Learning, Data Analytics, IoT, and Product Management. Since1994, he has built a distinguished career in technology leadership, consulting, and innovation. He holds a master's in software engineering from San José State University and an MBA from Santa Clara University.Chandra has held senior leadership roles at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Bell Labs, while consulting for Deloitte, PwC, Johnson & Johnson, T-Mobile, State Street Bank, Humana, Kroger, Verizon, Shell and BP. Since 2013, he has taught graduate courses in Software Engineering, Cloud Technologies, and Data Science at San José State University while advising Cisco, Lam Research, and others. As Principal Investigator for the Valley School of Nursing, he pioneered Virtual Reality-based healthcare education. Chandra leads global initiatives in Agriculture Analytics, Dairy Analytics, Specialty Crops Analytics, and Class-10 Wearable Veterinary Sensors, including the Sriya AgriVet Monitor, advancing IoT-driven ESG solutions for farmers worldwide. Under his leadership, Hanumayamma Corp (an initiative by Chandra) earned the Fast Company Innovation by Design Award (2023), presented its products at SPACE 2025 in Rennes, France and secured USPTO trademarks. A decorated innovator, Chandra won the US National IEEE Voice Data Challenge (2018) and has published over 29 IEEE papers along with several books on AI, IoT, agriculture, and food security. He has also served as editor and chair for major IEEE conferences across the US and Europe.

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