Artificial neural networks (ANNs) and gene expression programming (GEP) were compared
to estimate daily reference evapotranspiration (ET ref) under arid conditions. The daily …

In cold regions, the high occurrence of ice jams results in severe flooding and significant
damage caused by a rapid rise in water levels upstream of ice jams. These floods can be …

Although the sunshine-based models generally have a better performance than temperature-
based models for estimating solar radiation, the limited availability of sunshine duration …

In order to better manage the limited water resources in arid regions, accurate determination
of plant water requirements is necessary. For that, the evaluation of reference …

Recently, unmanned aerial vehicles (UAVs) have rapidly emerged as a new technology in
the fields of plant protection and pest control in China. Based on existing variable spray …

Wind drift and evaporation losses (WDEL) play a significant role in the development of water
conservation strategies in sprinkler irrigation. In this study, artificial neural network (ANN) …

Wind drift and evaporation losses (WDEL), which can occur as a result of operational and
meteorological factors, are two of the most significant sprinkler-irrigation losses that can …

This paper evaluates the ability of wavelet transform in improving the accuracy of artificial
neural network (ANN) and adaptive neuro-fuzzy interface systems (ANFIS) models. In this …

Accurate estimation of reference evapotranspiration (ET 0) is important for water resources
engineering. Therefore, a large number of empirical or semi-empirical equations have been …

The reference evapotranspiration (ETo) is considered one of the primary variables for water
resource management, irrigation practices, agricultural and hydro-meteorological studies …