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Current advances in detection of abnormal egg: a review
Internal and external defects of eggs should be detected to prevent cross-contamination of intact eggs by abnormal eggs during storage. Emerging detection technologies for abnormal eggs were introduced as an alternative to human inspection. The advanced technologies could rapidly detect abnormal egg...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Animal Sciences and Technology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574607/ https://www.ncbi.nlm.nih.gov/pubmed/36287780 http://dx.doi.org/10.5187/jast.2022.e56 |
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author | So, Jun-Hwi Joe, Sung Yong Hwang, Seon Ho Hong, Soon Jung Lee, Seung Hyun |
author_facet | So, Jun-Hwi Joe, Sung Yong Hwang, Seon Ho Hong, Soon Jung Lee, Seung Hyun |
author_sort | So, Jun-Hwi |
collection | PubMed |
description | Internal and external defects of eggs should be detected to prevent cross-contamination of intact eggs by abnormal eggs during storage. Emerging detection technologies for abnormal eggs were introduced as an alternative to human inspection. The advanced technologies could rapidly detect abnormal eggs. Abnormal egg detection technologies using acoustic response, machine vision, and spectroscopy have been commercialized in the poultry industry. Non-destructive egg quality assessment methods meanwhile could preserve the value of eggs and improve detection efficiency. In order to improve detection efficiency, it is essential to select a proper algorithm for classifying the types of abnormal eggs. This review deals with the performance of the detection technologies for various types of abnormal eggs in recently published resources. In addition, the discriminant methods and detection algorithms of abnormal eggs reported in the published literature were investigated. Although the majority of the studies were conducted on a laboratory scale, the developed detection technologies for internal and external defects in eggs were technically feasible to obtain the excellent detection accuracy. To apply the developed detection technologies to the poultry industry, it is necessary to achieve the detection rates required from the industry. |
format | Online Article Text |
id | pubmed-9574607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Society of Animal Sciences and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-95746072022-10-24 Current advances in detection of abnormal egg: a review So, Jun-Hwi Joe, Sung Yong Hwang, Seon Ho Hong, Soon Jung Lee, Seung Hyun J Anim Sci Technol Review Internal and external defects of eggs should be detected to prevent cross-contamination of intact eggs by abnormal eggs during storage. Emerging detection technologies for abnormal eggs were introduced as an alternative to human inspection. The advanced technologies could rapidly detect abnormal eggs. Abnormal egg detection technologies using acoustic response, machine vision, and spectroscopy have been commercialized in the poultry industry. Non-destructive egg quality assessment methods meanwhile could preserve the value of eggs and improve detection efficiency. In order to improve detection efficiency, it is essential to select a proper algorithm for classifying the types of abnormal eggs. This review deals with the performance of the detection technologies for various types of abnormal eggs in recently published resources. In addition, the discriminant methods and detection algorithms of abnormal eggs reported in the published literature were investigated. Although the majority of the studies were conducted on a laboratory scale, the developed detection technologies for internal and external defects in eggs were technically feasible to obtain the excellent detection accuracy. To apply the developed detection technologies to the poultry industry, it is necessary to achieve the detection rates required from the industry. Korean Society of Animal Sciences and Technology 2022-09 2022-09-30 /pmc/articles/PMC9574607/ /pubmed/36287780 http://dx.doi.org/10.5187/jast.2022.e56 Text en © Copyright 2022 Korean Society of Animal Science and Technology https://creativecommons.org/licenses/by-nc/4.0/This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review So, Jun-Hwi Joe, Sung Yong Hwang, Seon Ho Hong, Soon Jung Lee, Seung Hyun Current advances in detection of abnormal egg: a review |
title | Current advances in detection of abnormal egg: a
review |
title_full | Current advances in detection of abnormal egg: a
review |
title_fullStr | Current advances in detection of abnormal egg: a
review |
title_full_unstemmed | Current advances in detection of abnormal egg: a
review |
title_short | Current advances in detection of abnormal egg: a
review |
title_sort | current advances in detection of abnormal egg: a
review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574607/ https://www.ncbi.nlm.nih.gov/pubmed/36287780 http://dx.doi.org/10.5187/jast.2022.e56 |
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