Autor:
Fonseca Luengo, David
Lillo Saavedra, Mario F.
Lagos, Luis Octavio
García Pedrero, Angel
Gonzalo Martín, Consuelo
Estimation of the crop water requirement is critical in the optimization of the agricultural production process, due to that yield and costs are directly affected by this estimation. Nowadays, remote sensing is a useful tool for estimating Evapotranspiration (ET), since it is possible to map thei...
Enlace original:
http://repositoriodigital.uct.cl/handle/10925/2163
Fonseca Luengo, David
,
Lillo Saavedra, Mario F.
,
Lagos, Luis Octavio
,
García Pedrero, Angel
,
Gonzalo Martín, Consuelo
,
[Use of machine learning to improve the robustness of spatial estimation of evapotranspiration]
,
Use of machine learning to improve the robustness of spatial estimation of evapotranspiration
