Presentations

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Using Earth Observation-based machine learning models for predicting poverty

  • Mlambo, Reason
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Improved early warning of food insecurity: Integrating forecasts based on machine learning and MUAC data into Kenya's National Drought Monitoring Authority

  • Constenla-Villoslada, Susana
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Pathways to overcome risks impacting pastoralist livelihoods in the Horn of Africa: Opportunities, enablers, and challenges

  • Shikuku, Kelvin Mashisia
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Food Security Among the Long-Term Displaced and the Role of Livestock

  • Herrington, Rosie
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Update on the use of feed application and poultry breeding program database

  • Esatu, Wondmeneh
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Long-run effects of catastrophic drought insurance

  • Barrett, Christopher B.
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Livestock Feed Assessment and Forecasting with Earth Observation

  • Mutua, John Y.
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Performance testing of ILRI-developed chicken lines in Ethiopia

  • Alemayehu, Alula
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Earth observation options for dryland monitoring

  • Fava, Francesco P.