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Artificial Intelligence and Heuristics for Enhanced Food Security
Title
Artificial Intelligence and Heuristics for Enhanced Food Security [electronic resource] / by Chandrasekar Vuppalapati.
ISBN
9783031087431
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XXX, 891 p.) 1 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 23, 2022
Series
International Series in Operations Research & Management Science, 331
Contents
Part 1: Introduction to Artificial Intelligence and Heuristics
1. Introduction
2. Heuristics
3. Data Engineering Techniques for Machine Learning and Heuristics
Part 2: Food Security Machine Learning and Heuristics Models
4. Food Security
5. Food Security - Quality and Safety Drivers
6. ML Models - Food Security and Climate Change
Part 3: Linkage Models
7. Food Security and Advanced Imaging Radiometer ML Models
8. Composite Models - Food Security and Natural Resources
9. Linkage Models: Economic Key Drivers and Agricultural Production
10. Heuristics and Agricultural Production Modeling- Part IV: Conclusion
11. Future.
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