Application of Supervised Machine Learning Techniques and Digital Image Analysis for Predicting Live Weight in Anadolu-T Broilers

Accurate estimation of live weight is essential for efficient management and precision control in poultry production. This study evaluated the potential of supervised machine learning (ML) algorithms and digital image analysis for non-invasive prediction of live weight in Anadolu-T broilers, a local...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Erdem Küçüktopçu, Bilal Cemek, Didem Yıldırım, Halis Simsek, Kadir Erensoy, Musa Sarıca
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-12-01
Schriftenreihe:	Animals
Schlagworte:	poultry artificial intelligence morphometric traits computer pixel
Online-Zugang:	https://www.mdpi.com/2076-2615/16/1/68
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