Extracting peach tree structural parameters based on MLS LiDAR point cloud
In order to build digital orchards and improve the level of intelligent management,this study extracted peach tree structural parameters based on MLS LiDAR point cloud.Firstly,a backpack equipped multi-platform LiDAR was used to collect the point cloud data of peach orchard during leaf development,and an improved K-Means clustering algorithm was used to segment a single peach tree point cloud.Then,some branches with holes were sampled to obtain high density point cloud data of peach branches.Finally,the quantitative structure model(QSM)of peach tree was reconstructed by using cylinder fitting with different diameters,and five structural parameters of peach tree were extracted.The results showed that this method could achieve accurate 3D model reconstruction of peach trees.The determination coefficients of crown width,plant height,trunk diameter,length of primary and secondary branches and measured values extracted by point cloud 3D reconstruction were 0.779,0.939,0.978,0.965,0.986,respectively,the root mean square errors were 0.280 m,0.076 m,0.003 m,0.066 m,0.068 m,respectively,and the average relative error was 8.6％,2.5％,3.2％,2.6％,8.4％,respectively.The research results can provide data support for the intelligent management of peach orchard.
LiDAR point cloudpeach treestructural parametersquantitative modelpeach tree segmentation
万方数据
维普
