A spontaneous keypoints connection algorithm for leafy plants skeletonization and phenotypes extraction
By eliminating manual labels and training, this approach reduces annotation effort and computational overhead while enabling precise geometric phenotype calculation from skeleton-based keypoints. Its effectiveness on both randomly distributed and regularly shaped leafy plants suggests suitability for high-throughput plant phenotyping workflows.
Authors
- Xiangnan He (ORCID: https://orcid.org/0000-0001-8472-7992)
- Beilei Fan
- Yuting Wang (ORCID: https://orcid.org/0000-0003-2347-2417)
- Zhen Wang (ORCID: https://orcid.org/0000-0002-2725-8322)
- Xian Li (ORCID: https://orcid.org/0000-0002-5387-4647)
- Chenxue Yang (ORCID: https://orcid.org/0000-0002-6376-2980)
- Qingbo Zhou
Institutions
- Agricultural Information Institute (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-10-24
- DOI
- https://doi.org/10.3389/fpls.2025.1641255
- Primary Topic
- Leaf Properties and Growth Measurement
- Type
- article
- Field-Weighted Citation Impact
- 0.00