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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.16840 |
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| _version_ | 1866912343461462016 |
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| author | Hrzich, Joe Beck, Michael A. Bidinosti, Christopher P. Henry, Christopher J. Manawasinghe, Kalhari Tanino, Karen |
| author_facet | Hrzich, Joe Beck, Michael A. Bidinosti, Christopher P. Henry, Christopher J. Manawasinghe, Kalhari Tanino, Karen |
| contents | We present an open-source, low-cost photogrammetry system for 3D plant modeling and phenotyping. The system uses a structure-from-motion approach to reconstruct 3D representations of the plants via point clouds. Using wheat as an example, we demonstrate how various phenotypic traits can be computed easily from the point clouds. These include standard measurements such as plant height and radius, as well as features that would be more cumbersome to measure by hand, such as leaf angles and convex hull. We further demonstrate the utility of the system through the investigation of specific metrics that may yield objective classifications of erectophile versus planophile wheat canopy architectures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_16840 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping Hrzich, Joe Beck, Michael A. Bidinosti, Christopher P. Henry, Christopher J. Manawasinghe, Kalhari Tanino, Karen Computer Vision and Pattern Recognition We present an open-source, low-cost photogrammetry system for 3D plant modeling and phenotyping. The system uses a structure-from-motion approach to reconstruct 3D representations of the plants via point clouds. Using wheat as an example, we demonstrate how various phenotypic traits can be computed easily from the point clouds. These include standard measurements such as plant height and radius, as well as features that would be more cumbersome to measure by hand, such as leaf angles and convex hull. We further demonstrate the utility of the system through the investigation of specific metrics that may yield objective classifications of erectophile versus planophile wheat canopy architectures. |
| title | A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2504.16840 |