Zeitschriftenaufsatz
|
2020
Combination of Sensor Data and Health Monitoring for Early Detection of Subclinical Ketosis in Dairy Cows
Autor:in
Sturm, Valentin; Efrosinin, Dmitry; Ohlschuster, M.; Gusterer, E.; Drillich, M.
Publikationen als Autor:in / Herausgeber:in der Vetmeduni
Journal
Abstrakt
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.
Schlagwörter
sensor fusion; ketosis; precision dairy farming; machine learning; time series classification
Dokumententyp
Originalarbeit
CC Lizenz
CCBY
Open Access Type
Gold
10.3390/s20051484
WoS ID
PubMed ID