Artificial Intelligence and Heuristics for Enhanced Food Security

Artificial Intelligence and Heuristics for Enhanced Food Security

Detalles Bibliográficos
Autor principal: Vuppalapati, Chandrasekar (Autor)
Autor Corporativo: SpringerLink (Online service)
Sumario:XXX, 891 p. 1 illus.
text
Lenguaje:inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edición:1st ed. 2022.
Colección:International Series in Operations Research & Management Science, 331
Materias:
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.
Acceso en línea:https://doi.org/10.1007/978-3-031-08743-1
Formato: Electrónico Libro
Tabla de Contenidos:
  • 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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