The AquaCrop model was used to simulate maize growth and soil water content under full
and deficit irrigation managements as 1.2, 1, 0.8, and 0.6 of the potential crop water …

Iran imported around 1.3 million tons of barley in 2017. Accordingly, conducting researches
under low organic matter soils and limited water resources is important to enhance barley …

Soil water, salinity and nitrogen content are three major factors affecting crop production in
arid and semi-arid areas. This study was performed in two years of 2009 and 2010 in a semi …

Simulation of crop yield allows better planning and efficient management under different
environmental inputs such as water and nitrogen application. However, most of the models …

We investigated the interaction between genotype by trait, and an experiment was
conducted at the University of Debrecen. Two maize cultivars, FAO340 and FAO410, were …

Nowadays, a lot of attention is paid to the application of intelligent systems in predicting
natural phenomena. Artificial neural network systems, fuzzy logic, and adaptive neuro-fuzzy …

A split-split-plot design with three replications in two years of 2009 and 2010 was conducted
to investigate the effect of different levels of irrigation water (main plot), salinity of irrigation …

This study employed two artificial neural network (ANN) models, including multi-layer
perceptron (MLP) and radial basis function (RBF), as data-driven methods of hourly air …

Maize (Zea mays L.) is one of the most versatile cereal crops having wider adaptability
under varied agro-climatic conditions. Nitrogen and water are the main abiotic factors that …

Abstract Model WSM (Wheat Simulation Model) was developed based on the previous
model (MSM, Maize Simulation Model). The planted cultivar was Shiraz with five irrigation …