Application of Machine Learning Models for the Early Detection of Metritis in Dairy Cows Based on Physiological, Behavioural and Milk Quality Indicators

Application of Machine Learning Models for the Early Detection of Metritis in Dairy Cows Based on Physiological, Behavioural and Milk Quality Indicators

Metritis is one of the most common postpartum diseases in dairy cows, associated with impaired reproductive performance and substantial economic losses. In this study, we investigated the potential of machine learning (ML) techniques applied to physiological, behavioural, and milk quality parameters...

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Bibliographic Details
Main Authors: Karina Džermeikaitė, Justina Krištolaitytė, Ramūnas Antanaitis
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Animals
Subjects:
dairy cow
metritis
early diagnosis
machine learning
precision livestock farming
Online Access:https://www.mdpi.com/2076-2615/15/11/1674
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