Iran has an arid to semi-arid climate where water resources are limited. Irrigation planning plays an essential role in the growth and development of crops. This study aims to enhance the current status of irrigation scheduling and improve farm water management on sugarcane farms in Khuzestan province, Iran. The AquaCrop model and the surface energy balance algorithm for land (SEBAL) were used to simulate sugarcane growth and performed well in estimating actual evapotranspiration and final yield based on the calibration and validation results. Four irrigation scenarios were considered: scenario 1, irrigation according to the current situation; scenario 2, irrigation based on maximum allowable depletion (40%-55%); scenario 3, irrigation based on field capacity; and scenario 4, deficit irrigation (causes 5% reduction in yield). Water efficiency based on water consumption (WPIR), transpiration rate (WPTr), and evapotranspiration rate (WPET) were estimated to compare the scenarios in terms of water consumption. Scenario 3 was the selected scenario in which WPIR, WPTr, and WPET were increased about 108.3%, 2.1%, and 1.0%, respectively. Finally, the scenarios were evaluated economically, and the results showed that improving irrigation management slightly increased the benefit.