💻 computer science
YOLO-o1:A Multi-factor Detection Model for Pitaya Based on YOLOv11n
This paper presents YOLO-o1, an enhanced multi-factor detection model based on YOLOv11n that integrates CBAM, Focal Loss, Label Smoothing, and DIoU loss to simultaneously achieve high-accuracy stem disease detection, maturity classification, and fruit size estimation for pitaya in real-time agricultural applications.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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