Predicting Quail Egg Quality Using Machine Learning Algorithms

Predicting Quail Egg Quality Using Machine Learning Algorithms

ABSTRACT This study evaluates the effectiveness of machine learning algorithms in predicting quail egg quality based on nine key parameters, including egg weight, egg width, egg length, yolk height, yolk width, yolk weight, albumen height, albumen width, and albumen length. A dataset comprising 350...

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Bibliographic Details
Main Authors: BI Yildiz, K Eskioğlu, D Özdemir, M Akşit
Format: Article
Language:English
Published: Fundação APINCO de Ciência e Tecnologia Avícolas 2025-03-01
Series:Brazilian Journal of Poultry Science
Subjects:
Quail eggs
egg quality
machine learning
quality prediction
predictive modeling
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2025000100307&lng=en&tlng=en
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