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Response of water use of crop to soil moisture and salinity is complex to quantify using traditional field experiments. Based on field experimental data for two years, artificial neural networks models with five inputs including soil moisture content, total salt content, plant height, leaf area index and crop reference evapotranspiration (ET0) were developed to estimate daily actual † Prédiction de l’utilisation à des fins de consommation dans différentes conditions de teneur en humidité du sol et de salinité du sol à l’aide de modèles de réseaux neuronaux artificiels  Correspondence to: Ass. Prof. Zailin Huo. Centre for Agricultural Water Research in China, China Agricultural University. No.17 Qinghua East Road, Haidian, Beijing, 100083, PR China. Tel.: +86 10 62736762, Fax: +86 10 62736762. E-mail: [email protected].