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Improved Shell Color Index for Chicken Eggs with Blue-green Shells Based on Machine Learning Analysis.
Huanhuan Wang1, Yinghui Wei1, Lei Zhang1
1Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China.
Foods (Basel, Switzerland)
|September 13, 2025
Summary
This study developed a new index, L* - 4C*, for grading blue-green egg color, outperforming existing methods. The linear discriminant analysis model accurately predicts egg color classification.
Area of Science:
- Animal Science
- Colorimetry
- Data Science
Background:
- Eggshell color is a key commercial trait with diverse blue-green subtypes.
- Objective color measurement is needed to complement visual grading.
Purpose of the Study:
- To correlate CIELab color values with visual egg color classification.
- To develop simplified indices for grading blue-green eggs.
Main Methods:
- Measured CIELab values (L*, a*, b*) for 2274 blue-green eggs.
- Used linear discriminant analysis (LDA), random forest, SVM, and NNET models.
- Developed and compared simplified color indices.
Main Results:
- LDA model showed superior performance in color classification.
- The new index L* - 4C* demonstrated a high correlation with visual classification (-0.810).
- L* - 4C* significantly outperformed the SCI index (p < 0.05).
Conclusions:
- LDA is optimal for predicting blue-green egg color classification.
- The L* - 4C* index provides an accurate and efficient method for grading blue-green eggs.
