This paper reviews the literature and results of more than one hundred published articles in
scientific journals with respect to simulation of surface irrigation. The results showed that …

The present study proposes five standard artificial intelligence models including Artificial
Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Group Method of …

A model is described which applies the full one-dimensional version of the Saint–Venant
equations for open channel flow to simulate the process of surface irrigation. The resulting …

The SIRMOD and WinSRFR models were used to model and assess the irrigation
performance under continuous and surge irrigation strategies with two furrow lengths of 70 …

An artificial neural network (ANN) was developed for estimating the infiltrated water volume
(Z) under furrow irrigation. A feed-forward neural network using back-propagation training …

Field data sets for seven irrigation events during maize growing season were collected for
characterizing infiltration properties in variable Alternate, Fixed Alternate and Conventional …

Accurate estimation of infiltration coefficients in surface irrigation is essential for proper
design, reducing water losses, preventing erosion and increasing water use efficiency. This …

Advance and recession curves are of great importance for assessing the performance of
border irrigation. In recent years, scaling techniques have helped to reduce the required …

This study investigates the ability of gene expression programming (GEP) in modeling of the
infiltrated water volume (Z) under furrow irrigation. Field data were collected in the literature …

The soil water dynamic process is critical for the design, management, and evaluation of
ridge–furrow tillage in the semi-arid region of the Loess Plateau. The aim of this study was to …