In practical applications,the complexity of the farmland environment including weather and rice stubble noise has resulted in bad effect of vision navigation of rapeseed direct seeder.To solve this problem,a method of identifying the vision navigation of rapeseed direct seeder based on wavelet transform and improving random sample consensus (RANSAC) was proposed.The original image grayed was wavelet transformed to highlight the macro profile of the navigation path.The feature of work area and non-work area with high-contrast in the work images of rapeseed direct seeder was used to find the feature points of navigation path through ROI sliding windows.The improved RANSAC with correction of pre-test and post-process was used to distinguish inner points and outer points in the set of navigation path feature points,and the navigation path parameters was calculated by least squares in the set of inner points.Results of field experimental tests showed that the algorithm could detect stably and accurately the navigation path with the correct rate of 96.7%.The processing time for each frame was less than 31.0 ms.It will provide technical support for identifying the vision navigation of rapeseed direct seeder.