Artificial Intelligence and Heuristics for Enhanced Food Security

Artificial Intelligence and Heuristics for Enhanced Food Security

Библиографические подробности
Главный автор: Vuppalapati, Chandrasekar (Автор)
Автор-организация: SpringerLink (Online service)
Примечания:XXX, 891 p. 1 illus.
text
Язык:английский
Опубликовано: Cham : Springer International Publishing : Imprint: Springer, 2022.
Издание:1st ed. 2022.
Серии:International Series in Operations Research & Management Science, 331
Предметы:
Operations research.
Food security.
Artificial intelligence.
Mathematical optimization.
Production management.
Data mining.
Operations Research and Decision Theory.
Food Security.
Artificial Intelligence.
Optimization.
Operations Management.
Data Mining and Knowledge Discovery.
Online-ссылка:https://doi.org/10.1007/978-3-031-08743-1
Формат: Электронный ресурс Книга
Оглавление:
  • 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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