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Type of publication: Journal Article
Type of document: Full Paper

Year: 2020

Authors: Sturm, V; Efrosinin, D; Öhlschuster, M; Gusterer, E; Drillich, M; Iwersen, M

Title: Combination of sensor data and health monitoring for early detection of subclinical Ketosis in dairy cows.

Source: Sensors (Basel). 2020; 20(5):1484

Authors Vetmeduni Vienna:

Drillich Marc
Gusterer Erika
Iwersen Michael

Vetmed Research Units
University Clinic for Ruminants, Clinical Unit of Herd Management in ruminants

Project(s): Prozessbezogenes Informationsmanagement in Precision Dairy Farming

Subclinical ketosis is a metabolic disease in early lactation. It contributes to economic losses because of reduced milk yield and may promote the development of secondary diseases. Thus, an early detection seems desirable as it enables the farmer to initiate countermeasures. To support early detection, we examine different types of data recordings and use them to build a flexible algorithm that predicts the occurence of subclinical ketosis. This approach shows promising results and can be seen as a step toward automatic health monitoring in farm animals.

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