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

arXiv: https://arxiv.org/abs/2104.05282 · HTML: https://mlsanity.com/paper/2104.05282/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 14 references that are in the map.
- First posted on arXiv 12 Apr 2021.

## Builds on (most cited first, 1 of 1)

- [A robotic vision system to measure tree traits](https://mlsanity.com/paper/1707.05368/) (2017)

## Abstract (arXiv)

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.