Artificial Intelligence and Heuristics for Enhanced Food Security

Artificial Intelligence and Heuristics for Enhanced Food Security

Bibliographic Details
Main Author: Vuppalapati, Chandrasekar (Author)
Corporate Author: SpringerLink (Online service)
Summary:XXX, 891 p. 1 illus.
text
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:International Series in Operations Research & Management Science, 331
Subjects:
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 Access:https://doi.org/10.1007/978-3-031-08743-1
Format: Electronic Book
Table of 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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