Research on Global Navigation Operations for Rotary Burying of Stubbles Based on Machine Vision

In order to plan suitable navigation operation paths for the characteristics of rice fields in the middle and lower reaches of the Yangtze River and the operational requirements of straw rotary burying, this paper proposes a combination of the Hough matrix and RANSAC algorithms to extract the starting routes of straw boundaries; the algorithm adopts the Hough matrix to extract the characteristic points of the straw boundaries and remove the redundancies, and then reduces the influence of noise points caused by different straw shapes using the RANSAC algorithm to improve the accuracy of the starting route extraction. The algorithm extracts the starting routes of straw boundaries and the characteristic points of the straw boundaries and removes the redundancies, so as to improve the accuracy of the starting route extraction. The extraction test shows that under different scenes, the recognition accuracy of the path extraction method combining the Hough matrix and RANSAC algorithm is above 90%, and the algorithm takes no more than 0.51 s. Finally, the road test shows that the method meets the characteristics of tractor operation with a large turning radius and without reversing and satisfies the unmanned operation requirements of straw rotary burying in the field.