In-Line Detection of Clinical Mastitis by Identifying Clots in Milk Using Images and a Neural Network Approach

In-Line Detection of Clinical Mastitis by Identifying Clots in Milk Using Images and a Neural Network Approach

Automated milking systems (AMSs) already incorporate a variety of milk monitoring and sensing equipment, but the sensitivity, specificity, and positive predictive value of clinical mastitis (CM) detection remain low. A typical symptom of CM is the presence of clots in the milk during fore-stripping....

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Bibliographic Details
Main Authors: Glenn Van Steenkiste, Igor Van Den Brulle, Sofie Piepers, Sarne De Vliegher
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Animals
Subjects:
deep learning
clinical mastitis
automated milking systems
image recognition
clots in milk
Online Access:https://www.mdpi.com/2076-2615/13/24/3783

Internet

https://www.mdpi.com/2076-2615/13/24/3783

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