Combination of Sensor Data and Health Monitoring for Early Detection of Subclinical Ketosis in Dairy Cows
Valentin Sturm, Dmitry Efrosinin, M. Öhlschuster, Erika Gusterer, Marc Drillich, Michael Iwersen
Abstract
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.
Topics & Concepts
Subclinical infectionKetosisLactationEnvironmental healthMedicineBiotechnologyEndocrinologyBiologyInternal medicinePregnancyDiabetes mellitusGeneticsGenetic and phenotypic traits in livestockAnimal Behavior and Welfare StudiesEffects of Environmental Stressors on Livestock