Autor: Barrett, Christopher B.
Autor: Benin, Samuel
Ejemplares similares: Multivariate random forest prediction of poverty and malnutrition prevalence
- Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
- High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning
- Predicting poverty with vegetation index
- A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)
- Large-scale land restoration improved drought resilience in Ethiopia’s degraded watersheds
- Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy
Ejemplares similares: Why do African countries underinvest in agricultural R&D?
- Investment in agricultural research and development: An account of two-speed growth, underinvestment, and volatility
- The impacts of public investment in and for agriculture: Synthesis of the existing evidence
- Monitoring and evaluation to strengthen the performance of agricultural R&D
- The role of impact assessment in evaluating agricultural R&D
- Returns to agricultural public spending in Africa south of the Sahara
- Crossborder collaboration in African agricultural research: The political economy of technology spillovers