SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification
The proposed method offers an effective and efficient tool for high-throughput, non-destructive maize seed variety identification, with promising applications in seed quality control and precision breeding.
Authors
- Yongqiang Feng (ORCID: https://orcid.org/0000-0002-7026-7152)
- Linzhe Zhang
- Kai Sun (ORCID: https://orcid.org/0000-0002-9482-470X)
- Junying Han (ORCID: https://orcid.org/0000-0001-9405-279X)
- Chengzhong Liu (ORCID: https://orcid.org/0000-0002-6130-7773)
Institutions
- Gansu Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fpls.2025.1587845
- Citations
- 1
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.75
Funders
- National Natural Science Foundation of China