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Quantitative Biology > Other Quantitative Biology

arXiv:2502.20417 (q-bio)
[Submitted on 26 Feb 2025]

Title:Accurate 3D Grapevine Structure Extraction from High-Resolution Point Clouds

Authors:Harry Dobbs, Casey Peat, Oliver Batchelor, James Atlas, Richard Green
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Abstract:Accurate 3D modelling of grapevines is crucial for precision viticulture, particularly for informed pruning decisions and automated management techniques. However, the intricate structure of grapevines poses significant challenges for traditional skeletonization algorithms. This paper presents an adaptation of the Smart-Tree algorithm for 3D grapevine modelling, addressing the unique characteristics of grapevine structures. We introduce a graph-based method for disambiguating skeletonization. Our method delineates individual cane skeletons, which are crucial for precise analysis and management. We validate our approach using annotated real-world grapevine point clouds, demonstrating improvement of 15.8% in the F1 score compared to the original Smart-Tree algorithm. This research contributes to advancing 3D grapevine modelling techniques, potentially enhancing both the sustainability and profitability of grape production through more precise and automated viticulture practices
Subjects: Other Quantitative Biology (q-bio.OT); Image and Video Processing (eess.IV)
Cite as: arXiv:2502.20417 [q-bio.OT]
  (or arXiv:2502.20417v1 [q-bio.OT] for this version)
  https://doi.org/10.48550/arXiv.2502.20417

Submission history

From: Harry Dobbs [view email]
[v1] Wed, 26 Feb 2025 08:49:21 UTC (6,367 KB)
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