In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …

Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …

Timely and accurate estimation of reference evapotranspiration (ET 0) is indispensable for
agricultural water management for efficient water use. This study aims to estimate the …

Significant research has been done on estimating reference evapotranspiration (ET 0) from
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …

Evapotranspiration (ET) is considered as a key factor in hydrological and climatological
studies, agricultural water management, irrigation scheduling, etc. It can be directly …

In the current research, gene expression programming (GEP) was applied to model
reference evapotranspiration (ETo) in 18 regions of Iran with limited meteorological data …

Reference evapotranspiration (ETo) is one of the most significant factors in the hydrological
cycle since it has a great influence on water resource planning and management …

The estimation of reference evapotranspiration (ET0) is important in hydrology research,
irrigation scheduling design and water resources management. This study explored the …

Modeling reference evapotranspiration (ET 0) is important in reservoir management,
planning regional water resources and evaluation of drinking-water supplies. The study …

In the current study, an ability of a novel regression-based method is evaluated in modeling
daily reference evapotranspiration (ET0), which is an important issue in water resources …