Combination of Sensor Data and Health Monitoring for Early Detection of Subclinical Ketosis in Dairy Cows.
Sensors (Basel)
; 20(5)2020 Mar 08.
Article
in En
| MEDLINE
| ID: mdl-32182701
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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Diagnosis, Computer-Assisted
/
Dairying
/
Ketosis
/
Monitoring, Physiologic
Type of study:
Diagnostic_studies
/
Prognostic_studies
/
Screening_studies
Limits:
Animals
Language:
En
Journal:
Sensors (Basel)
Year:
2020
Document type:
Article
Affiliation country:
Austria