Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Adegbenjo, Adeyemi O., Liu, Li, Ngadi, Michael O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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
_version_ 1783599205876498432
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
work_keys_str_mv AT adegbenjoadeyemio nondestructiveassessmentofchickeneggfertility
AT liuli nondestructiveassessmentofchickeneggfertility
AT ngadimichaelo nondestructiveassessmentofchickeneggfertility