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In order to obtain the discrete element simulation parameters of coastal saline soils, the soil discrete element parameters were calibrated by combining the experiment and discrete element simulation using the soil of the Yellow River Deltd Agricultural Highland Area as an example, and Hertz-Mindlin with JKR in EDEM was selected as the simulation contact model. The significance analysis was carried out through the Plackett-Burman test to explore the factors that had a significant effect on the soil stacking angle, the steepest climb method was used to further determine the range of factor values, the Box-Behnken test was applied to establish a quadratic polynomial regression model of the three significance factors and the simulated stacking angle of the soil, and the regression model was performed with the measured soil stacking angle of 33.6° as the target. The optimal combination of soil-soil static friction factor of 0.546, soil-soil recovery coefficient of 0.358, and soil surface energy of 3.207J/m2 in the JKR model was obtained. Under the conditions of the optimal parameter combination, the simulation results of the outer diameter of the top of the hole and the longitudinal depth of the hole had an error of 4.04% and 3.47% from the test, respectively, which verified the accuracy of the soil parameter calibration. The discrete element parameter calibration method and parameter values proposed for saline alkali soil can provide theoretical basis and support for the discrete element simulation of the interaction between soil contact components and soil under saline alkali working conditions, as well as the research and design of specialized agricultural machinery for saline alkali soil.