Predicting Food‐Security Crises in the Horn of Africa Using Machine Learning
Presentation of a machine‐learning model predicting food insecurity in the Horn of Africa, which is one of the most vulnerable regions worldwide
Research papers
Predicting Food‐Security Crises in the Horn of Africa Using Machine Learning
(11.74 MB - PDF)- Author details
- Busker, Tim; van den Hurk, Bart; de Moel, Hans; van den Homberg, Marc; van Straaten, Chiem; A. Odongo, Rhoda; Aerts, Jeroen C. J. H.
- Unique identifier
- https://doi. org/10.1029/2023EF004211
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Hazard types
Drought
Environmental
Flood
DRM Phases
Preparedness
Prevention
Geographic focus
Global
Sectors
AI, RPAS & remote sensing
Risk drivers
Climate change
Environmental degradation