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In view of the low picking quality caused by inaccurate operating parameters in the mechanical picking process of coffea, the discrete element simulation software EDEM was used to construct the discrete element flexible model of Arabica coffea fruit-bearing branches in harvesting time, the accuracy of the model setup parameters was verified by comparing the simulation and actual test results of fruit-stalk tensile separation force and branch three-point bending fracture force. The EDEM-Recurdyn coupling method was used to construct the simulation model of Arabica coffea fruitbearing branches interacting with a vibratory picking device, the influence regularity of the operating parameters of the picking device on the picking quality during the picking process was analyzed by means of a single factor simulation test, and the operating parameters value range were defined. The quadratic regression orthogonal rotation combination simulation test of three factors and five levels was carried out with vibration frequency, inclination angle of the amplitude adjustment mechanism and vibration time as the test factors, and picking clean rate, picking ripening rate, and branch damage rate were used as the test indexes. The results showed that the importance of the effect of each factor on each test index in descending order was the vibration frequency, the vibration time and the inclination angle of the amplitude adjustment mechanism. The best picking effect was obtained through parameter optimization when the vibration frequency was 64 Hz, the inclination angle was 40 °, and the vibration time was 1.5 s. The field-picking test was conducted under the optimized operating parameters. The mean values of 92.54%，95.47% and 5.01% were obtained for the picking clean rate, picking ripening rate and branch damage rate, respectively, and the relative errors with the simulation test were 4.23%,，3.39%, and 6.37%, respectively, which verified the reliability of the simulation test, and provided a theoretical basis and technical references for the study of the operating parameters and the optimization of the structure of the coffee picking machine.