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...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-09, Vol.20 (19), p.5546
Main Authors: Adegbenjo, Adeyemi O, Liu, Li, Ngadi, Michael O
Format: Article
Language:English
Subjects:
Amino acids
Animals
Artificial intelligence
Canada
Cell division
chicken egg
Chickens
Economic impact
Eggs
Fertility
fertility identification
Hyperspectral Imaging
image analysis
Machine vision
New technology
non-destructive technologies
Ovaries
Ovulation
Poultry
Proteins
Review
Thermal imaging
Uterus
Vagina
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20195546