Artificial Neural Network for Forecasting Reference Evapotranspiration in Semi-Arid Bioclimatic Regions

Artificial Neural Network for Forecasting Reference Evapotranspiration in Semi-Arid Bioclimatic Regions

A correct determination of irrigation water requirements necessitates an adequate estimation of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial neural network (ANN) models. Eleven combinations of long-term average monthly climatic data of air temperature...

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Bibliographic Details
Main Authors: Ahmed Skhiri, Ali Ferhi, Anis Bousselmi, Slaheddine Khlifi, Mohamed A. Mattar
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Water
Subjects:
reference evapotranspiration
artificial neural network
Blaney–Criddle
Riou
Turc
Online Access:https://www.mdpi.com/2073-4441/16/4/602

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