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.
翻译:果园草原的种植为生物多样性提供了生态惠益,这大大高于密集耕种的果园。本研究的目标是建立一个树型模型,自动确定草原内独立树木的可能修剪点。这里介绍的算法能够根据预先分层的摄影测量3D点云建立一个骨架模型。在将点点划到其主要分支和建立一个虚拟树模型方面取得了良好成果,总精确度达到95.19%。该模型提供了用于自动修剪的树的几何学的必要信息。