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Updated: Sep 10, 2025

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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基于轻量级YOLO v11的乳牛目标检测和跟踪方法

Zhongkun Li1, Guodong Cheng1, Lu Yang1

  • 1Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Animals : an open access journal from MDPI
|August 28, 2025
PubMed
概括

一个新的轻量级YOLOv11n模型通过减少参数和提高跟踪精度来改善奶牛运动监测. 它与OC-SORT相结合,可实现精确的,持续的牛监测,以改善农场管理.

关键词:
时间表:牛奶奶牛轻量级的模型多目标追踪目标检测

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