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Enhancing duck body weight prediction with tree-based machine learning algorithms: integrating morphometric and categorical predictors

Summary: Accurate prediction of body weight (BW) is essential for the management and genetic improvement of poultry in smallholder systems. This study evaluated and compared the performance of three tree-based machine learning (ML) algorithms—decision trees (DT), random forest (RF), and gradient boo...

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Uloženo v:
Hlavní autoři: Ashenafi Getachew Megersa, Fikrineh Negash, Teklewold Belayhun Getachew, Abebe Hailu, Tesfalem Aseged
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2026-09-01
Edice:Journal of Applied Poultry Research
Témata:
Body weight estimation
Decision Tree
Gradient Boosting
Machine learning
Morphometric traits
Predictive performance
On-line přístup:http://www.sciencedirect.com/science/article/pii/S1056617126000632
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