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Journal of Dairy Science Vol. 78 No. 7 1441-1455
© 1995 by American Dairy Science Association ®
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A Knowledge-Based System for Diagnosis of Mastitis Problems at the Herd Level. 2. Machine Milking

H. Hogeveen 1, J. H. Van Vliet 2, E. N. Noordhuizen-Stassen 2, C. De Koning 3, D. M. Tepp 4, and A. Brand 2

1 Department of Herd Health and Reproduction, Utrecht University, Yalelaan 7, 3584 CL Utrecht, The Netherlands and National Reference Centre for Livestock Production (IKC-V), Runderweg 2, 8219 PK Lelystad, The Netherlands and Artificial Intelligence Laboratory, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Nethetlands
2 Department of Herd Health and Reproduction, Utrecht University, Yalelaan 7, 3584 CL Utrecht, The Netherlands, National Reference Centre for Livestock Production (IKC-V), Runderweg 2, 8219 PK Lelystad, The Netherlands and Artificial Intelligence Laboratory, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Nethetlands
3 Department of Herd Health and Reproduction, Utrecht University, Yalelaan 7, 3584 CL Utrecht, The Netherlands, National Reference Centre for Livestock Production (IKC-V), Runderweg 2, 8219 PK Lelystad, The Netherlands and Artificial Intelligence Laboratory, Erasmus University Rotterdam, Burgemeester Oudlaan 50 3062 PA Rotterdam, The Nethetlands
4 Department of Herd Health and Reproduction, Utrecht University, Yalelaan 7, 3584 CL Utrecht The Netherlands, National Reference Centre for Livestock Production (IKC-V), Runderweg 2, 8219 PK Lelystad, The Netherlands and Artificial Intelligence Laboratory Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Nethetlands

A knowledge-based system for the diagnosis of mastitis problems at the herd level must search for possible causes, including malfunctioning milking machines or incorrect milking technique. A knowledge-based system on general mechanisms of mastitis infection, using hierarchical conditional causal models, was extended. Model building entailed extensive cooperation between the knowledge engineer and a domain expert. The extended knowledge-based system contains 12 submodels underlying the overview models. Nine submodels were concerned with mastitis problems arising from machine milking. These models are briefly described. The knowledge-based system has been validated by other experts after which the models were adjusted slightly. The final knowledge-based system was validated to data collected at 17 commercial dairy farms with high SCC in the bulk milk. Reports containing the farm data were accompanied by recommendations made by a dairy farm advisor. This validation showed good agreement between the knowledge-based system and the dairy farm advisors. The described knowledge-based system is a good tool for dairy farm advisors to solve herd mastitis problems caused by a malfunctioning milking machine or incorrect milking technique.

Key Words: mastitis • knowledge-based system • machine milking • diagnosis

Submitted on May 16, 1994
Accepted on February 9, 1995






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