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SPMF-YOLO-Tracker: A Method for Quantifying Individual Activity Levels and Assessing Health in Newborn Piglets

This study proposes a behavioral monitoring framework for newborn piglets based on SPMF-YOLO object detection and ByteTrack multi-object tracking, which enables precise quantification of early postnatal activity levels and health assessment. The method enhances small-object detection performance by...

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Principais autores: Jingge Wei, Yurong Tang, Jinxin Chen, Kelin Wang, Peng Li, Mingxia Shen, Longshen Liu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-10-01
Serier:Agriculture
Fag:
SPMF-YOLO
ByteTrack
precision livestock farming
deep learning
computer vision
Online adgang:https://www.mdpi.com/2077-0472/15/19/2087
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