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August 15, 2025Engineering ReportsOpen Access

Non‐Invasive and Low‐Cost Approach for Estimating Sheep Weight Using Computer Vision

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Authors

JMJúlio MarquesWSWillians SantosRARafael Luz Araújo

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Overview

This approach demonstrates non-invasive sheep weight estimation using computer vision, suggesting improved accuracy in agricultural settings.

Key Points

  • Non-invasive sheep weight estimation achieved a remarkable F1-score of 95.43%, indicating high accuracy in the approach.
  • Using EfficientNetB2 with linear regression, the system delivered an RMSE of 3.44 kg, showing effective weight prediction capabilities.
  • The methodology employs a video-based system combining EfficientNetB3 and U-Net architectures for precise segmentation and weight estimation.
  • This system highlights significant potential for reducing human stress on animals while providing accurate weight monitoring solutions.

Cite This Study

Marques et al. (2025) studied this question.

synapsesocial.com/papers/68a365600a429f797332b719https://doi.org/10.1002/eng2.70329
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  5. 5Light Attention Encoder–Decoder for Cattle Body Segmentation and Body Weight Estimation2026