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.

Plant phenotyping relevance

3D点群から枝の骨格・樹体形状を推定する計算手法が中心で、単なる剪定対象の位置検出を超えて植物器官の構造形態を抽出している。

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

No evidence-backed public reproduction asset is currently recorded.