Abstract: Corn is one of the important food crops in my country, and corn harvester is an important machine for corn harvesting. However, the soil environment and corn growth conditions are different in different regions, and its working parameters and performance directly affect the working efficiency of corn harvester. Aiming at the low level of intelligent control and poor versatility of the current corn harvesting device,this study proposes an intelligent control system for corn harvesting. PID fuzzy control is used to optimize the intelligent control system. The optimization was carried out, and the prediction model based on the experimental data was used to predict the corn picking loss rate and reduce the corn picking loss rate. The field test results show that each working part responds quickly, and the overshoot and steady-state error of each working part are relatively small. The established control strategy can control the working parameters of the corn harvester without considering the working load. Optimization,the corn picking loss rate in the field test is 1. 67%,the grain damage rate is 3. 38%,and the impurity content rate is 1. 09%. The corn harvesting loss meets the corn production standard. The system operates normally,with a high degree of intelligence and convenient operation,which meets the expected design. Requirements,the research results provide technical reference for the research on automatic control of corn harvester.