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Project: Improvement of mastitis detection, pathogen diagnosis and treatment pla...
  • Title (NL) Improvement of mastitis detection, pathogen diagnosis and treatment planning for automatic milking systems using additional non-automatic milking system data
  • Period 09 / 2006 - 09 / 2010
  • Status Current
  • Dissertation Yes
Abstract
bullet Abstract Automatic milking (AM) systems are able to detect a reasonable proportion of clinical mastitis (CM) cases, but there are a lot of false positives. Information on sensor data of the AM systems are expected to help determine the type of pathogen causing the mastitis, although this has not yet been investigated. Detection, diagnosis, and treatment of CM might be further enhanced through the use of additional, non-AM system data. Objectives are to develop models from an existing non-AM database to 1) improve CM detection, 2) improve pathogen detection, and 3) to develop a treatment plan for detected cases of CM. These treatment plans will be analysed in an economic framework.
Related organisations
bullet Secretariat Departement Gezondheidszorg Landbouwhuisdieren (UU)
bullet Collaboration Leerstoelgroep Bedrijfseconomie (WUR)
Related people
bullet Supervisor Prof.dr. J.A.P. Heesterbeek
bullet Supervisor Prof.dr.ir. R.B.M. Huirne
bullet Project leader W. Steeneveld
bullet Doctoral/PhD student W. Steeneveld
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