Automated chick gender determination using optical coherence tomography and deep learning

Chick gender classification is crucial for optimizing poultry production, yet traditional methods such as vent sexing and ultrasound remain limited by human expertise, labor intensity, and insufficient resolution. This study introduces a novel approach that integrates Optical Coherence Tomography (O...

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Bibliographic Details
Main Authors:	Jadsada Saetiew, Papawit Nongkhunsan, Jiraporn Saenjae, Rapeephat Yodsungnoen, Amonrat Molee, Sirichok Jungthawan, Ittipon Fongkaew, Panomsak Meemon
Format:	Article
Language:	English
Published:	Elsevier 2025-05-01
Series:	Poultry Science
Subjects:	Chick gender classification Vent sexing Optical coherence tomography Deep learning Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S003257912500272X
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Automated chick gender determination using optical coherence tomography and deep learning

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