Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections
These results highlight Rice-SVBDete's potential for accurately identifying small vascular bundles in complex backgrounds, providing a valuable tool for rice anatomical analysis and supporting advancements in precision agriculture and plant science research.
Authors
- Haiyu Zhou (ORCID: https://orcid.org/0000-0002-3328-6792)
- Guangyao Pang (ORCID: https://orcid.org/0000-0001-8412-2547)
- Mingchong Yang (ORCID: https://orcid.org/0000-0003-0912-8417)
- Jiada Huang
- Jiahua Shi (ORCID: https://orcid.org/0000-0002-5051-0530)
- Jianguo Li (ORCID: https://orcid.org/0000-0002-3183-9795)
- Jun Shen (ORCID: https://orcid.org/0000-0002-8594-8823)
- Xiaoying Zhu (ORCID: https://orcid.org/0000-0002-2740-8060)
- Lingqiang Wang (ORCID: https://orcid.org/0000-0001-9138-2881)
- Weiyu Zhou
Institutions
- Guangxi University (CN)
- The University of Queensland (AU)
- University of Wollongong (AU)
- Wuzhou University (CN)
- Agriculture and Food (AU)
- ARC Centre of Excellence for Plant Success in Nature and Agriculture (AU)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-05-26
- DOI
- https://doi.org/10.3389/fpls.2025.1589161
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00