ORBMO-RF: a non-destructive classification method for ginseng seeds based on multimodal fusion and improved red-billed blue magpie optimization algorithm
The established multimodal data fusion classification system not only provides theoretical and technical foundations for industrial-scale ginseng seed classification but also offers a transferable intelligent decision-making paradigm for non-destructive testing in traditional Chinese medicine.
Authors
- B. Liu
- Mingxuan Xue
- Shuqi Zhang (ORCID: https://orcid.org/0000-0002-1709-8505)
- Helong Yu
- Shaozhong Song
- Zhongshuai Zhang
- Liying Wang
Institutions
- Jilin Jianzhu University (CN)
- Jilin Engineering Normal University (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Jilin Agricultural Science and Technology University (CN)
- Jilin Agricultural University (CN)
- Plant Industry (AU)
- Institute of Special Animal and Plant Sciences (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-01-14
- DOI
- https://doi.org/10.3389/fpls.2025.1743311
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00