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• W2164523676 abstract "Since the introduction of AM systems in 1992, an approximate 4% of the Dutch dairy farmers have implemented such a system. Van der Vorst (2002) showed that the bulk tank SCC (BTSCC) of dairy producers using such a system, reached a level comparable to that of dairy producers milking conventionally at 1.5 years after implementation. This indicates that dairy producers using AM systems are able to manage mastitis successfully. However, improvements are still possible regarding some udder health and milk quality issues. Firstly, increasing the sensitivity of mastitis detection would improve the timely detection of mastitis cases that require treatment, prevent production losses and prevent the spread of infection. Secondly, reducing the number of false positives on the mastitis attention lists would decrease the work-load of the farmer and improve the farmers’ trust in those lists. In addition, improvement of the sensitivity of abnormal milk detection, given an acceptable specificity level, is required. Currently, abnormal milk is not always separated causing a decrease in bulk tank milk quality. Finally, pathogen detection using sensor measurements has not been implemented yet. A proper prediction of the most likely mastitis causing pathogen might improve treatment plans and will reduce costs of antibiotics. Mastitis detection models have often been based on measurements with electrical conductivity (EC) sensors, which are relatively easy to implement (Pyorala, 2003). Models included only make use of EC based variables as the only predictive variables (Biggadike et" @default.
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• W2164523676 date "2007-01-01" @default.
• W2164523676 modified "2023-09-24" @default.
• W2164523676 title "Detection of abnormal milk and mastitis using sencor measurements of automatic milking machines" @default.
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