Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models

Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models

Bacteria- or virus-infected chicken is conventionally detected by manual observation and confirmed by a laboratory test, which may lead to late detection, significant economic loss, and threaten human health. This paper reports on the development of an innovative technique to detect bacteria- or vir...

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Bibliographic Details
Main Authors: Mohd Anif A. A. Bakar, Pin Jern Ker, Shirley G. H. Tang, Mohd Zafri Baharuddin, Hui Jing Lee, Abdul Rahman Omar
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Veterinary Science
Subjects:
machine learning
classification model
chromaticity
agriculture
chicken comb
image processing
Online Access:https://www.frontiersin.org/articles/10.3389/fvets.2023.1174700/full

Internet

https://www.frontiersin.org/articles/10.3389/fvets.2023.1174700/full

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