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Project: Detection of abnormal milk and mastitis using sensors from automated mi...
  • Title (NL) Detection of abnormal milk and mastitis using sensors from automated milking systems
  • Period 06 / 2006 - 06 / 2010
  • Status Current
  • Dissertation Yes
Abstract
bullet Abstract The main objective of this project is to improve the detection of abnormal milk and mastitis with automatic milking (AM). Specific objectives are to develop software modules that process AM sensor data to 1) detect and separate abnormal milk, 2) detect mastitis, and 3) determine the most likely mastitis causing pathogen. The software modules will be developed using data mining techniques. Data mining can be described as the process of finding new and potentially useful knowledge from existing large databases.
Related organisations
bullet Secretariat Departement Gezondheidszorg Landbouwhuisdieren (UU)
bullet Collaboration Leerstoelgroep Bedrijfseconomie (WUR)
bullet Financier Technologiestichting STW (NWO)
Related people
bullet Supervisor Prof.dr. J.A.P. Heesterbeek
bullet Supervisor Prof.dr.ir. R.B.M. Huirne
bullet Doctoral/PhD student c. Kamphuis
Related research (upper level)
bullet Program WIAS3 Wageningen Institute of Animal Sciences
Classification
bullet A22000 Animal husbandry
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