عنوان مقاله [English]
Increasing productivity in the use of agricultural resources has always been considered. Water is one of the most central and effective resources needed in agriculture. The furrow surface irrigation system is one of the most widely used irrigation systems. Irrigation systems are usually designed to increase quality, which can also be quantified. In addition to quality, practicality and the amount of required labor for irrigation are two other important factors that if not considered, the potential quality considered in the irrigation plan will not be realized. But in most irrigation system design models, only quality has been considered. In this research, a simulation and optimization model is presented for designing a furrow irrigation system with the aim of increasing practicality, reducing labor along with increasing quality. This model uses a fuzzy expert system based on the knowledge of experienced farmers to quantify the amount of labor and the practicality of the irrigation system. Experiments have been performed based on data from several different farms that show the quality of the proposed model. Also, by comparing the results, it was found that the proposed method, on average, has led to a 10% reduction in the labor and a 9% increase in the practicality.