Enhancing the destructive egg quality assessment using the machine vision and feature extraction technique

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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Bibliographic Details
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:
haugh unit
image processing
classification
quality control
albumin height
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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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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