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Detection and Continuous Tracking of Breeding Pigs with Ear Tag Loss: A Dual-View Synergistic Method.

Weijun Duan1,2,3, Fang Wang1,2, Honghui Li1,3

  • 1College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.

Animals : an Open Access Journal From MDPI
|October 16, 2025
PubMed
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This study introduces a dual-view method to detect and track pigs that have lost ear tags, improving farm management. The system offers accurate identification and continuous monitoring for livestock management.

Area of Science:

  • Agricultural Technology
  • Computer Vision
  • Animal Science

Background:

  • Loss of ear tags in breeding pigs compromises individual identification, impacting farm management precision.
  • Real-time detection and continuous tracking of ear tag-less pigs are challenging due to similar appearances, occlusion, and rapid movements.

Purpose of the Study:

  • To develop a dual-view synergistic method for accurate and timely detection of ear tag-lost breeding pigs.
  • To implement a continuous tracking system for individual pigs lacking ear tags.
  • To enhance precision in livestock farm management through improved animal identification and monitoring.

Main Methods:

  • A lightweight ear tag loss detector was created using Cascade-TagLossDetector and channel pruning.
  • A synergistic architecture integrated localized top-down and panoramic oblique views for precise localization.
Keywords:
channel pruningdual-view synergyear tag loss detectionindividual trackingmotion attention

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  • An enhanced tracker with Motion Attention was developed for continuous tracking of identified pigs.
  • Main Results:

    • The pruned detector achieved 94.03% mAP for bounding box detection and 90.16% for instance segmentation with 37.71 fps.
    • The detector's parameter count was reduced by 20.93 million, increasing speed by 12.38 fps.
    • The tracker demonstrated success rates of 86.91%, with precision improvements of up to 4.77 percentage points over baseline models.

    Conclusions:

    • The proposed dual-view method offers timely detection and continuous tracking of ear tag-lost pigs.
    • The system is feasible for deployment on edge devices, providing valuable insights for livestock identity management.
    • This approach significantly enhances the precision and efficiency of breeding farm management.