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Non-Destructive Assessment of Chicken Egg Fertility
Total hatching egg set (for both egg production chicks and broilers) in the Agriculture and Agri-Food Canada report 2017 was over 1.0 billion. With the fertility rate for this year observed to be around 82%, there were about 180 million unhatched eggs (worth over 300 million Canadian dollars) incuba...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582499/ https://www.ncbi.nlm.nih.gov/pubmed/32998290 http://dx.doi.org/10.3390/s20195546 |
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author | Adegbenjo, Adeyemi O. Liu, Li Ngadi, Michael O. |
author_facet | Adegbenjo, Adeyemi O. Liu, Li Ngadi, Michael O. |
author_sort | Adegbenjo, Adeyemi O. |
collection | PubMed |
description | Total hatching egg set (for both egg production chicks and broilers) in the Agriculture and Agri-Food Canada report 2017 was over 1.0 billion. With the fertility rate for this year observed to be around 82%, there were about 180 million unhatched eggs (worth over 300 million Canadian dollars) incubated in Canada for the year 2017 alone. These non-hatching (non-fertile) eggs can find useful applications as commercial table eggs or low-grade food stock if they can be detected early and isolated accordingly preferably prior to incubation. The conventional method of chicken egg fertility assessment termed candling, is subjective, cumbersome, slow, and eventually inefficient, leading to huge economic losses. Hence, there is a need for a non-destructive, fast and online prediction technology to assist with early chicken egg fertility identification problem. This paper reviewed existing non-destructive approaches including ultrasound and dielectric measurements, thermal imaging, machine vision, spectroscopy, and hyperspectral imaging. Hyperspectral imaging was extensively discussed, being an emerging new technology with great potential. Suggestions were finally proffered towards building futuristic robust model(s) for early detection of chicken egg fertility. |
format | Online Article Text |
id | pubmed-7582499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75824992020-10-29 Non-Destructive Assessment of Chicken Egg Fertility Adegbenjo, Adeyemi O. Liu, Li Ngadi, Michael O. Sensors (Basel) Review Total hatching egg set (for both egg production chicks and broilers) in the Agriculture and Agri-Food Canada report 2017 was over 1.0 billion. With the fertility rate for this year observed to be around 82%, there were about 180 million unhatched eggs (worth over 300 million Canadian dollars) incubated in Canada for the year 2017 alone. These non-hatching (non-fertile) eggs can find useful applications as commercial table eggs or low-grade food stock if they can be detected early and isolated accordingly preferably prior to incubation. The conventional method of chicken egg fertility assessment termed candling, is subjective, cumbersome, slow, and eventually inefficient, leading to huge economic losses. Hence, there is a need for a non-destructive, fast and online prediction technology to assist with early chicken egg fertility identification problem. This paper reviewed existing non-destructive approaches including ultrasound and dielectric measurements, thermal imaging, machine vision, spectroscopy, and hyperspectral imaging. Hyperspectral imaging was extensively discussed, being an emerging new technology with great potential. Suggestions were finally proffered towards building futuristic robust model(s) for early detection of chicken egg fertility. MDPI 2020-09-28 /pmc/articles/PMC7582499/ /pubmed/32998290 http://dx.doi.org/10.3390/s20195546 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Adegbenjo, Adeyemi O. Liu, Li Ngadi, Michael O. Non-Destructive Assessment of Chicken Egg Fertility |
title | Non-Destructive Assessment of Chicken Egg Fertility |
title_full | Non-Destructive Assessment of Chicken Egg Fertility |
title_fullStr | Non-Destructive Assessment of Chicken Egg Fertility |
title_full_unstemmed | Non-Destructive Assessment of Chicken Egg Fertility |
title_short | Non-Destructive Assessment of Chicken Egg Fertility |
title_sort | non-destructive assessment of chicken egg fertility |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582499/ https://www.ncbi.nlm.nih.gov/pubmed/32998290 http://dx.doi.org/10.3390/s20195546 |
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