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Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk

2008-07-01

Abstract excerpt

Dairy farmers using automatic milking are able to manage mastitis successfully with the help of mastitis attention lists. These attention lists are generated with mastitis detection models that make use of sensor data obtained throughout each quarter milking. The models tend to be limited to using the maximum or average value of the sensor data pattern, potentially excluding other valuable information. They often...

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Literature Corpus work
5944a13e-3f8a-5f24-a14e-f4d38aa3cf6a
DOI
10.1016/j.compag.2007.12.009
Open publication

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Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milkDOI 10.1016/j.compag.2007.12.009
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