Optimal land allocation and irrigation scheduling to maximize the economic utility

Attaining sustainable agriculture requires water consumption management. A water allocation optimization model was developed for the Moghan irrigation network (northwest of Iran) based on the AquaCrop plug-in model. The genetic algorithm was applied to optimize water allocation for five main crops, including wheat, first-cultivation maize, second-cultivation maize, soybeans, and alfalfa. The heuristic economic utility (EU) function was used as the objective function to optimize water allocation. In this function, drained water salinity was applied as a penalty factor to the total benefit, and soil salinity deterioration due to irrigation was also considered as a factor in each crop’s benefit. The results showed that the optimal allocated water depth was 17