Abstract: Path planning method for combine harvester operations based on machine vision was studied to address issue of excessive obstacles affecting operational efficiency in combine harvester operating environment．Binocular vision camera was used to collect images of combine harvester operations, and nine point calibration method was selected for hand eye calibration of binocular vision camera．Canny algorithm was used to smooth image using a Gaussian filter, calculate gradient direction and amplitude of image, connect edges of combine operation image with dual thresholds, detect edges of combine operation image, and divide harvesting target and obstacles．Based on principle of artificial potential field method, a potential field was constructed using environmental information of combine harvester operation．Gravitational and repulsive forces received by combine harvester in synthetic potential field, based on movement speed and resultant direction of combine harvester, operation path planning results of combine harvester were output．Experimental results showed that, this method could plan operation path based on working environment of combine harvester, and planning results of operation path effectively avoid obstacles, with high applicability．