Measurement method of variation coefficient of seeding uniformity based on real-time point cloud reconstruction
The measurement of the coefficient of variation of traditional sowing uniformity requires manual positioning and counting,which is time-consuming,labor-intensive,and inefficient.In order to improve the speed and accuracy of measuring the coefficient of variation of sowing uniformity,the automatic measurement of the coefficient of variation of sowing uniformity using real-time point cloud reconstruction technology was studied.Firstly,the seed images and environmental dense point cloud information are obtained through a depth camera.Then,image segmentation is performed to calculate the image coordinates of the seed centroid.Then,the three-dimensional coordinates of the seed are filtered out from the real-time point cloud information.Finally,they are transformed into the initial coordinate system and projected onto a water plane.Based on the projection results,the measurement of the coefficient of variation of sowing uniformity is achieved.The experimental results show that compared with manual measurement,the proposed method has average positioning errors of 2.08 mm and 2.443 mm in the horizontal direction,with a single measurement time of less than 0.5 s,and an error of 0.4%in the coefficient of variation of sowing uniformity.
real-time point cloudseedersowing uniformityvariation coefficientdepth camera
NETL
NSTL
万方数据
