Machine Learning-based early warning system for child hunger crises in ASAL Kenya: Final report from a research impact accelerator project

Domaine:

socioeconomicagriculture

Créateur:

ConBlu

Éditeur:

UniUni

Éditeur:

Jam

Hôte:

This report is from a research accelerator project on ‘Improved early warning of food insecurity: Integrating forecasts based on machine learning and anthropometric data into Kenya’s National Drought Monitoring Authority.’

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doi.org era.ed.ac.uk

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