Approach for modeling single branches of meadow orchard trees with 3D point clouds
This work addresses automated pruning for ecological orchard cultivation, but it is incremental as it builds on existing point cloud segmentation methods.
The research tackled the problem of automatically determining pruning points for meadow orchard trees by creating a skeleton model from 3D point clouds, achieving an overall accuracy of 95.19%.
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.