The development and validation of a milk feeding behavior alert from automated feeder data to classify calves at risk for a diarrhea bout: A diagnostic accuracy study

The development and validation of a milk feeding behavior alert from automated feeder data to classify calves at risk for a diarrhea bout: A diagnostic accuracy study

ABSTRACT: The objective of this diagnostic accuracy study was to develop and validate an alert to identify calves at risk for a diarrhea bout using milk feeding behavior data (behavior) from automated milk feeders (AMF). We enrolled Holstein calves (n = 259) as a convenience sample size from 2 facil...

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Bibliographic Details
Main Authors: M.C. Cantor, A.A. Welk, K.C. Creutzinger, M.M. Woodrum Setser, J.H.C. Costa, D.L. Renaud
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Journal of Dairy Science
Subjects:
precision livestock farming
calf disease
technology
automated detection
Online Access:http://www.sciencedirect.com/science/article/pii/S0022030223007890

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http://www.sciencedirect.com/science/article/pii/S0022030223007890

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