Abstract
Automated surveillance systems have become increasingly important in dairy farming. This can be attributed to an increasing farm size with unaltered employee numbers, higher susceptibility of high-yielding animals to diseases and a general constraint to work more cost effectively. A variety of surveillance systems for different areas of application in dairy cow management are currently available. However, their applicability has not always been supported by scientific validation. With regards to the considerable costs in installing and running surveillance systems and to evaluate their practical aspects, further analyses are desirable. Considering the progress in computer based systems in recent years, we are anticipating rapid developments in automated animal surveillance in the near future. Consequently, the need arises for veterinarians to understand the principles underlying such systems, to be able to assess their efficacy and to be capable of evaluating data derived from these systems in order to advise farmers appropriately. The aim of this study was to assess the benefits and limitations of current surveillance systems for oestrus-detection, partus-alarm and monitoring health status mainly with regards to metabolic disorders in dairy cows, but also for other selected areas of health monitoring.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Fakultät: | Tiermedizin |
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| ISSN: | 1434-1220 |
| Sprache: | Deutsch |
| Dokumenten ID: | 46852 |
| Datum der Veröffentlichung auf Open Access LMU: | 27. Apr. 2018, 08:11 |
| Letzte Änderungen: | 04. Nov. 2020, 13:23 |
- Dokument bearbeiten
