Mehmet Durak Tüysüz

Comparative Evaluation of Machine Learning Models for Daily Reference Evapotranspiration Estimation Using Limited Meteorological Data

Reference evapotranspiration (ETo) is a fundamental parameter for irrigation scheduling and efficient water resources management. This study aimed to compare the performance of Linear Regression (LR), second-order Polynomial Regression (PR), Decision Tree (DT), Random Forest (RF), Support Vector Regression (SVR), and A...