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Related Experiment Video

Updated: May 14, 2026

Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks
08:14

Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks

Published on: May 24, 2014

A Non-Destructive Early Sex Identification Method for Chicken Embryos Based on Improved MobileViT-V3.

Qian Yan1, Chengyu Yu1, Zhoushi Tan1

  • 1College of Engineering, Huazhong Agricultural University, Wuhan 430070, China.

Animals : an Open Access Journal From MDPI
|May 13, 2026
PubMed
Summary

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This summary is machine-generated.

This study introduces an improved MobileViT-V3 model for non-destructive, early sex identification of chicken embryos, enhancing accuracy and efficiency in poultry hatching. The new method addresses ethical concerns and resource waste by accurately identifying male chicks early on.

Area of Science:

  • Agricultural Science
  • Computer Vision
  • Animal Science

Background:

  • Routine culling of male chicks in poultry hatching causes ethical concerns and resource waste.
  • Current early sex identification methods for 4-day-incubated embryos lack accuracy due to weak, low-contrast embryonic features and eggshell interference.

Purpose of the Study:

  • To develop a non-destructive, highly accurate, and efficient method for early sex identification of chicken embryos.
  • To improve upon existing computer vision models for embryo sexing in the poultry industry.

Main Methods:

  • An improved MobileViT-V3 model was developed, incorporating a Micro Feature Enhancement module (MFE-Module) and a Multi-Scale Adaptive Attention Fusion module (MSAAF-Module).
  • The model was trained and tested on a self-constructed dataset of 4-day-incubated chicken embryos.
Keywords:
MobileViT-V3attention mechanismfeature enhancementhatching egg sex identificationmodern smart agriculturenon-destructive testing

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Last Updated: May 14, 2026

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Main Results:

  • The improved model achieved a test set classification accuracy of 92.26%, with an F1-score of 92.15% and a recall rate of 92.12%.
  • The model demonstrated superior performance compared to mainstream models like YOLOv12 and ResNet, with a fast inference speed of 97.6 FPS.
  • The method boasts a low parameter count (2.98 M) and high inference speed, meeting industrial real-time requirements.

Conclusions:

  • The proposed non-destructive method offers a significant advancement in early sex identification for chicken embryos.
  • This technology has high potential for practical industrial deployment, addressing ethical issues and improving efficiency in poultry hatching.