High-resolution global maps of yield potential with local relevance for targeted crop production improvement.
Nat Food
; 2024 Jul 29.
Article
en En
| MEDLINE
| ID: mdl-39075160
ABSTRACT
Identifying untapped opportunities for crop production improvement in current cropland is crucial to guide food availability interventions. Here we integrated an agronomically robust bottom-up approach with machine learning to generate global maps of yield potential of high resolution (ca. 1 km2 at the Equator) and accuracy for maize, wheat and rice. These maps serve as a robust reference to benchmark farmers' yields in the context of current cropping systems and water regimes and can help to identify areas with large room to increase crop yields.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Nat Food
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos