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September 10, 2025Frontiers in Computing and Intelligent SystemsOpen Access

Research on a Non-Contact Cattle Weight Measurement System Based on Deep Learning

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Authors

LQLihao QinZMZhongyu MaZZZhanshuo Zhang

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Overview

Proposed system leverages deep learning for non-contact weight measurement of cattle, enhancing accuracy and efficiency in livestock management.

Key Points

  • The system achieves high accuracy in both keypoint detection and weight prediction tasks.
  • Experimental results confirm the potential for automated weight estimation in modern livestock management.
  • MobileNetV3 serves as the backbone for keypoint detection in the proposed system.
  • The regression model integrates keypoint coordinates with geometric features for effective weight prediction.

Cite This Study

Qin et al. (2025) studied this question.

synapsesocial.com/papers/68c1d7fe54b1d3bfb60fa6f9https://doi.org/10.54097/q5fkjz34
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