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Windowing Chicken Eggs for Developmental Studies
Published on: October 1, 2007
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Non-Destructive Assessment of Chicken Egg Fertility
Adeyemi O Adegbenjo1,2, Li Liu1, Michael O Ngadi1
1Department of Bioresource Engineering, McGill University,21, 111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada.
Sensors (Basel, Switzerland)
|October 1, 2020
Summary
Millions of unhatched eggs represent significant economic loss annually. This review explores non-destructive technologies, like hyperspectral imaging, for early chicken egg fertility detection to reduce waste and improve efficiency.
Area of Science:
- Agricultural Science
- Food Technology
- Biotechnology
Background:
- Over 1 billion hatching eggs were set in Canada in 2017, with an 82% fertility rate.
- This resulted in approximately 180 million unhatched eggs, valued at over 300 million Canadian dollars.
- Current methods like candling are inefficient, leading to substantial economic losses in the poultry industry.
Purpose of the Study:
- To review existing non-destructive technologies for early chicken egg fertility identification.
- To highlight the potential of emerging technologies for improving economic outcomes in egg production.
- To address the need for a fast, online prediction technology for non-fertile egg detection.
Main Methods:
- A comprehensive review of non-destructive techniques was conducted.
- Methods discussed include ultrasound, dielectric measurements, thermal imaging, machine vision, spectroscopy, and hyperspectral imaging.
- Hyperspectral imaging was identified as a promising emerging technology.
Main Results:
- Conventional candling is subjective, slow, and inefficient for fertility assessment.
- Various non-destructive techniques show potential for early detection of chicken egg fertility.
- Hyperspectral imaging offers significant promise as a futuristic solution.
Conclusions:
- There is a critical need for advanced, non-destructive technologies for early chicken egg fertility identification.
- Hyperspectral imaging presents a strong potential for developing robust models for this purpose.
- Implementing such technologies can mitigate economic losses and optimize resource utilization in the poultry sector.
Keywords:
chicken eggfertility identificationhyperspectral imagingimage analysismachine visionnon-destructive technologies
