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.

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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
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article

Detection of Taiqiu sweet persimmons during the color-transition period with an improved YOLO11-FC2T model and causal analysis

Pengzhi Hou, Xiaoying Zhang, Huiqin Li, Lifei Gao et al.
Frontiers in Plant Science
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article

Detection of Taiqiu sweet persimmons during the color-transition period with an improved YOLO11-FC2T model and causal analysis

Pengzhi Hou, Xiaoying Zhang, Huiqin Li, Lifei Gao, Wenhui Dong, Yaqing Zhi
article en

Abstract

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.

Frontiers in Plant ScienceVol. 16
Shanxi Agricultural University (CN)
Zero hunger
Openalex Percentile: Top 76%
Smart Agriculture and AI
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