Artificial Intelligence and Heuristics for Enhanced Food Security
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Περίληψη: | XXX, 891 p. 1 illus. text |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
|
| Έκδοση: | 1st ed. 2022. |
| Σειρά: | International Series in Operations Research & Management Science,
331 |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-3-031-08743-1 |
| Μορφή: | Ηλεκτρονική πηγή Βιβλίο |
Πίνακας περιεχομένων:
- 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.