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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Fundação APINCO de Ciência e Tecnologia Avícolas
2025-03-01
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| Series: | Brazilian Journal of Poultry Science |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2025000100307&lng=en&tlng=en |
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