In order to solve the problems of large volume, bulky structure and low efficiency of soil throwing of blade-type grapevine burying machine, parametric modeling of the key components of the vine burying machine cutter plate, on the basis of ANSYS Workbench static analysis, using the relevant parameter sensitivity method to screen out the design variables that have a greater impact on the performance of the cutter plate, and completing the design of experimental type by using the CCD, and fitting the design variables with the response surface of the output parameters through the nonparametric regression meta-model, and finally completing the optimization of the cutter plate based on the MOGA algorithm. The response surface of the design variables and the output parameters are fitted by the nonparametric regression meta-model, and finally the optimization of the cutter plate is completed based on the MOGA algorithm. The optimized cutter plate structure meets the working strength requirements, and the mass decreases by 19.2% and the equivalent stress decreases by 8.3% compared with the original structure. The simulation results show that the cutter plate is lightweight obviously, which verifies the feasibility of the response surface-based optimization design, and this research process has certain reference significance for the research in the field of structural optimization.