LBS-YOLO: a lightweight model for strawberry ripeness detection
The experiment demonstrates that, the LBS-YOLO model can significantly reduce the number of parameters and effectively improve the detection accuracy and operation efficiency. It successfully alleviated the problems of false detection and missed detection, thereby providing reliable technical support for strawberry growth monitoring, maturity identification and automatic picking.
Authors
- Zheng Li (ORCID: https://orcid.org/0000-0002-0450-7357)
- Li Zhu (ORCID: https://orcid.org/0000-0003-2136-3196)
- Yuxuan Feng
- Xueying Li
- Haitao Fu
Institutions
- Jilin Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3389/fpls.2025.1715263
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00