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November 10, 2025SymmetryOpen Access

A Lightweight Automatic Cattle Body Measurement Method Based on Keypoint Detection

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Authors

XCXiangxue ChenXGXiaoyan GuoYLYanmei Li

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Overview

Proposed method achieves 4.7% relative error in cattle body height measurement, indicating improved efficiency.

Key Points

  • This research aims to develop a lightweight method for automatic cattle body measurement using keypoint detection.
  • Constructed lateral and dorsal image datasets of cattle keypoints.
  • Designed a lightweight SCW-YOLO model for keypoint detection.
  • Computed 11 body measurements using established formulas based on detected keypoints.
  • Conducted experiments on datasets involving 61 cattle.
  • Achieved an average relative error of 4.7%.
  • Reduced parameter count by 58.2% compared to the original model.
  • Decreased compute cost by 68.8%.
  • Lowered model size by 57%, enhancing lightweight efficiency.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/69252ea8c0ce034ddc356b83https://doi.org/10.3390/sym17111926
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