2014
DOI: 10.1016/j.compag.2014.02.013
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Identification of pruning branches in tall spindle apple trees for automated pruning

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Cited by 88 publications
(39 citation statements)
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“…Skeletonization is the process of recovering a model from images of objects with a network structure, such as branching plants. Liu, Kantor, De la Torre, & Zheng () and Karkee, Adhikari, Amatya, & Zhang () each proposed offline systems for modeling trellised apple trees for deciding where to prune. The trees are structurally simple, with one trunk and few overlapping branches.…”
Section: Introductionmentioning
confidence: 99%
“…Skeletonization is the process of recovering a model from images of objects with a network structure, such as branching plants. Liu, Kantor, De la Torre, & Zheng () and Karkee, Adhikari, Amatya, & Zhang () each proposed offline systems for modeling trellised apple trees for deciding where to prune. The trees are structurally simple, with one trunk and few overlapping branches.…”
Section: Introductionmentioning
confidence: 99%
“…Image processing and skeletonization steps are performed, resulting in the tree structure of trunk and primary branches. This system is also used in Karkee et al (2014) to implement a pruning protocol based on branch spacing and branch length.…”
Section: Robotic Pruningmentioning
confidence: 99%
“…for the intensive architectural trees. With the simplified tree architecture, tree branches could be detected and identified much easier, thus to apply simple rules for robotic pruning (Karkee et al, 2014).…”
Section: Horticultural Advancementmentioning
confidence: 99%
“…In robotic pruning, cuts must be precisely defined so the computer can transfer accurate information to the pruner. Researchers have studied on developing simple and quantified pruning rules to increase the feasibility of using robotic and automated pruning (Karkee et al, 2014). Two examples of quantified pruning rules are given here, which could be potentially used for robotic pruning systems.…”
Section: Pruning Strategies For Automated Pruningmentioning
confidence: 99%