Enhancing the destructive egg quality assessment using the machine vision and feature extraction technique
The rapid growth of the food industry necessitates rigorous quality control, particularly in egg production. This study explores advanced methodologies for egg quality assessment by integrating the Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and k-Nearest Neighbour (KNN)...
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| Main Authors: | Ehsan Sheidaee, Pourya Bazyar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2025-06-01
|
| Series: | Research in Agricultural Engineering |
| Subjects: | |
| Online Access: | https://rae.agriculturejournals.cz/artkey/rae-202502-0006_enhancing-the-destructive-egg-quality-assessment-using-the-machine-vision-and-feature-extraction-technique.php |
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