The blockage of the conveying system of sugarcane harvester is one of the main factors affecting the working efficiency of the harvester,and the excessive feeding amount is the main reason for the blockage of the harvester.Under the complex conditions of sugarcane conveying,the traditional contact detection method has problems such as reduced accuracy,so that a method based on visual recognition to detect the feeding amount was proposed.In order to improve the calculation accuracy of the feeding amount,the three-dimensional data model was established by the improved SGBM algorithm,and then SIFT was used for feature extraction in the optimization process,which improved the accuracy and robustness of the three-dimensional reconstruction of sugarcane under complex conditions such as occlusion.Finally,the feeding amount was calculated.The experimental results showed that when feeding 1 to 5 sugarcanes,the mean volume error of the improved algorithm was reduced by 3.26%,5.68%,6.32%,8.45%,7.81%,respectively,and by 6.29%,4.24%,6.15%,12%,and 10.28%,respectively.The identification of sugarcane feeding amount on the conveying prototype was realized.
维普
万方数据