Approach for modeling single branches of meadow orchard trees with 3D point clouds
TLDR
In this article, a tree skeleton model based on a pre-segmented photogrammetric 3D point cloud is used to automatically determine possible pruning points for stand-alone trees within meadows.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.read more
Citations
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Journal ArticleDOI
Development of a Combined Orchard Harvesting Robot Navigation System
TL;DR: In this paper , a dual master-slave navigation system for orchard harvesting with a tractor orchard transport robot being the master followed by a navigation orchard picking robot as the slave is presented.
Journal ArticleDOI
Development of a Combined Orchard Harvesting Robot Navigation System
TL;DR: In this article , a dual master-slave navigation system for orchard harvesting with a tractor orchard transport robot being the master followed by a navigation orchard picking robot as the slave is presented.
Journal ArticleDOI
Approach for graph-based individual branch modelling of meadow orchard trees with 3D point clouds
TL;DR: In this article , the authors used photogrammetric point clouds to automatically calculate tree models, without additional human input, as basis to estimate pruning points for meadow orchard trees.
Journal ArticleDOI
Line-based deep learning method for tree branch detection from digital images
Rodrigo Silva,José Marcato Junior,L. S. Almeida,Diogo Nunes Gonçalves,Pedro Zamboni,Vanessa Jordão Marcato Fernandes,Jonathan Silva,Edson Takashi Matsubara,Edson Antonio Batista,Lingfei Ma,Jonathan Li,Wesley Nunes Gonçalves +11 more
TL;DR: In this article , the authors proposed a method in which the orientation and the grasping positions of tree branches are estimated, based on which the straight line (representing the tree branch extension) is predicted by a CNN and a Hough transform is applied to estimate the direction and position of the line.
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