<p>Managing agricultural water resources involves dealing with water scarcity, weather, and uncertainty concerning various water resource system characteristics. The management of land use and the best distribution of water resources for agriculture constitutes a complicated system with several goal functions. Additionally, it is unavoidable that there would be some ambiguity in the best distribution of irrigation water and land. This work presented a fuzzy-stochastic multi-objective planning model for the best distribution of irrigation water and land usage under several uncertainties to address such circumstances. Fuzzy sets and stochastic planning were utilized in the optimization phase of the developed model to add uncertainty. The model developed in this study was employed to determine the irrigation requirements of cultivated crops within the research area, which was subdivided into three irrigation regions: Astara, Talesh, and Rezvanshahr. It considered the limitations of surface water and groundwater sources and the impact of effective rainfall. The fuzzy set approach and Chance Constrained Programming (CCP) were used to examine the uncertainties of the model. In this manner, a collection of solutions was produced and assessed in light of various uncertainty levels. The results indicated that the greatest shortages occur in the Talesh irrigation area. Specifically, in July, at a risk level of 0.2, the shortage amounts in Talesh at the upper and lower bounds of the alpha-cut (α = 0.8) were found to be 2.12 and 11 times those of the Rezvanshahr irrigation area, and 2 and 0.57 times those of the Astara irrigation area, respectively. Therefore, The allocated quantities of surface water and groundwater, as determined by the optimal results obtained in this study, assist regional managers and decision-makers in selecting the most appropriate strategies concerning the utilization of irrigation water sources and arable land.</p>