Application of an analytical framework to hindcast crop yield in major crop production regions in Mozambique
Mozambique faces challenges in staple food crop production, which makes crop yield prediction vital for effective policy-making on food security. The analytic framework that integrates satellite data and crop growth simulations to forecast regional crop yield can aid policy makers. The objectives of...
| Autores principales: | , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/178003 |
Ejemplares similares: Application of an analytical framework to hindcast crop yield in major crop production regions in Mozambique
- Statistics from space: Application of hybrid crop yield prediction system to Mozambique
- Development of crop decision trees using seasonal climate forecasts
- Increasing concentration of major crops in China from 1980 to 2011
- Mekong River Delta crop decision tree for rice
- A new framework for predicting and understanding flowering time for crop breeding
- Over 100,000 Laotian farmers use the seasonal climate forecasts and weekly agro-advisories disseminated via Laos climate services for agriculture to improve crop management