Author:
Zhang Zhenqian,Cao Ruyue,Peng Cheng,Liu Renjie,Sun Yifan,Zhang Man,Li Han
Abstract
A cut-edge detection method based on machine vision was developed for obtaining the navigation path of a combine harvester. First, the Cr component in the YCbCr color model was selected as the grayscale feature factor. Then, by detecting the end of the crop row, judging the target demarcation and getting the feature points, the region of interest (ROI) was automatically gained. Subsequently, the vertical projection was applied to reduce the noise. All the points in the ROI were calculated, and a dividing point was found in each row. The hierarchical clustering method was used to extract the outliers. At last, the polynomial fitting method was used to acquire the straight or curved cut-edge. The results gained from the samples showed that the average error for locating the cut-edge was 2.84 cm. The method was capable of providing support for the automatic navigation of a combine harvester.
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Subject
Agronomy and Crop Science
Cited by
15 articles.
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