Effect of the net radiation proxies on maize and soya evapotranspiration estimation using machine learning methods.
Accurate evapotranspiration (ET) estimation is essential for water management in crops, but it is not an easy task. Empirical ET methodologies require precise net radiation (Rn) measurements to obtain accurate results. Nevertheless, Rn measurements are not easy to obtain from meteorological stations...
Guardado en:
| Autores principales: | Venturini, Virginia, Walker, Elisabet, Fonnegra Mora, Diana Carolina, Fagioli, Gianfranco |
|---|---|
| Formato: | Artículo revista |
| Lenguaje: | Inglés |
| Publicado: |
Facultad de Ciencias Agropecuarias
2022
|
| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/agris/article/view/37104 |
| Aporte de: |
Ejemplares similares
-
Boosting classifiers for weed seeds identification
por: Granitto, Pablo Miguel, et al.
Publicado: (2002) -
Intercambio gaseoso en dos especies de plantas alto andinas de Chile central : efecto de la asociación a plantas en cojín
por: Molina-Montenegro, Marco A., et al.
Publicado: (2005) -
Intercambio gaseoso en dos especies de plantas alto andinas de Chile central : efecto de la asociación a plantas en cojín
por: Molina-Montenegro, Marco A., et al.
Publicado: (2005) -
Measurement of the cross section of high transverse momentum Z→bb¯ production in proton–proton collisions at √s=8 TeV with the ATLAS detector
por: Aad, G. -
Measurement of the cross section of high transverse momentum Z→bb¯ production in proton–proton collisions at √s=8 TeV with the ATLAS detector
Publicado: (2014)