Approach for modeling single branches of meadow orchard trees with 3D point clouds

Abstract

The cultivation of orchard meadows provides an ecological benefit for biodiversity, which is significantly higher than in intensively cultivated orchards. The goal of this research is to create a tree model to automatically determine possible pruning points for stand-alone trees within meadows. The algorithm which is presented here is capable of building a skeleton model based on a pre-segmented photogrammetric 3D point cloud. Good results were achieved in assigning the points to their leading branches and building a virtual tree model, reaching an overall accuracy of 95.19 %. This model provided the necessary information about the geometry of the tree for automated pruning.

Code and data availability

The article describes photogrammetric point cloud acquisition of a single apple tree and skeleton model extraction, but contains no data availability statement, no public dataset or point cloud deposit, and no author code release. The only URLs present are references to third-party software (Agisoft Metashape, CloudSee

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