Autor:
Tesfaye, K.
Sonder, Kai
Caims, J.
Magorokosho, C.
Tarekegn, A.
Kassie, Girma T.
Getaneh, F.
Abdoulaye, Tahirou
Abate, T.
Erenstein, Olaf
Maize is a major staple food crop in southern Africa and stress tolerant improved varieties have the potential to increase productivity, enhance livelihoods and reduce food insecurity. This study uses big data in refining the geospatial targeting of new drought-tolerant (DT) maize varieties in Ma...
Enlace original:
https://cgspace.cgiar.org/handle/10568/76332
Tesfaye, K.
,
Sonder, Kai
,
Caims, J.
,
Magorokosho, C.
,
Tarekegn, A.
,
Kassie, Girma T.
,
Getaneh, F.
,
Abdoulaye, Tahirou
,
Abate, T.
,
Erenstein, Olaf
,
[Targeting drought-tolerant maize varieties in southern Africa: a geospatial crop modeling approach using big data]
,
Targeting drought-tolerant maize varieties in southern Africa: a geospatial crop modeling approach using big data