Abstract This study predicted the daily evapotranspiration of eggplant ( Solanum melongena L.) under full and deficit irrigation in Bafra district Samsun province, Turkey, using machine learning methods. Artificial neural networks (ANNs), deep (DNN), M5 model tree (M5Tree), random forest (RF), support vector (SVM), k -nearest neighbor (kNN), adaptive boosting were investigated as approaches. De...

It is often necessary to find a simpler method in different climatic regions to calculate reference crop evapotranspiration (ETo) since the application of the FAO-56 Penman-Monteith method is often restricted due to the unavailability of a comprehensive weather dataset. Seven ETo methods, namely the standard FAO-56 Penman-Monteith, the FAO-24 Radiation, FAO-24 Blaney Criddle, 1985 Hargreaves, P...

Evapotranspiration (ETc) is the mean for exploiting irrigation water and constitutes a major component of the hydrological cycle (Telis et al., 2007; Papadavid, 2011). The ETc is a basic and crucial parameter for climate studies, weather forecasts and weather modeling, hydro‐ logical surveys, ecological monitoring and water resource management (Hoedjes et al., 2008). In the past decades, the es...

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Estimation of evapotranspiration is imperative for effective forest, irrigation and water resources management as well to increase yields better crop management. This study aims evaluate the effectiveness Surface Energy Balance Algorithm Land (SEBAL) in estimating actual 15 years wheat 2A distributary Mahanadi canal Command which situated Dhamtari district Chhattisgarh state India. The Landsat ...