Statistical and Visual Evaluation of Artificial Neural Networks and Multiple Linear Regression Performances in Estimating Reference Crop Evapotranspiration for Mersin

Unel, Fatma Bunyan | Kusak, Lutfiye | Yakar, Murat

This is study aimed to create a model for calculating the total reference crop evapotranspiration (ETo) in Mersin Province from May 2015 to 2020 and to generate maps using spatial analysis. Lemons from citrus play a significant role inMersin’s agriculture, and because of lemons’ sensitivity to temperature, ETo is essential for them. Itwas observed that the ETo value (EToPM) calculated using the Penman-Monteith (PM)method increased over the years. A model was developed using data from çâ Automated Weather Observing Systems (AWOS) in Mersin, Türkiye, which is located in a semi-arid climate zone. the model was created using Multiple Linear Regression (MLR) and artificial neural network (ANN) methods. the station climate data were divided into training and test datasets separately and c...