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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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軽量YOLO v11に基づく乳牛標的検出と追跡方法

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
まとめ

新しい軽量なYOLOv11nモデルは,パラメータを削減し,追跡精度を高めることで,乳牛の動きのモニタリングを改善します. OC-SORTと組み合わせると 精密で継続的な牛の監視が可能になり 牛の管理が改善されます

キーワード:
YOLO v11 について乳牛軽量モデルマルチターゲットの追跡ターゲット検出

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