Detection of Taiqiu sweet persimmons during the color-transition period with an improved YOLO11-FC2T model and causal analysis
Overall, YOLO11-FC2T addresses key detection challenges during the color-transition period and provides a practical, portable solution for automated fruit identification and counting in precision agriculture. The above results indicate that YOLO11-FC2T not only improves the indicators, but also possesses reliable generalization ability and stability.
Authors
- Pengzhi Hou
- Xiaoying Zhang
- Huiqin Li
- Lifei Gao
- Wenhui Dong
- Yaqing Zhi
Institutions
- Shanxi Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-01-27
- DOI
- https://doi.org/10.3389/fpls.2025.1742794
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00