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Advances in techniques for health monitoring/disease detection in dairy cattle

Code: 9781801462280
Michael Iwersen and Marc Drillich, University of Veterinary Medicine Vienna, Austria

Chapter synopsis: Livestock production has been characterized by the intensification and specialization of production leading to larger farms and, hence, to fewer farmers per animal. Thus, the animal-to-stockman ratio is increasing and the available time for monitoring an individual animal is reducing. In the same time period, the focus in the veterinary profession has shifted from treatment of acutely diseased animals to more proactive management, which includes the use of epidemiological tools to identify risk factors for animal health, welfare and production. As part of a modern herd management, reliable data on animal health are provided e.g. by routine and standardized testing of animals for the presence of disease. For this, traditional and increasingly sophisticated diagnostic tools are available. Recently, farmers have increasingly been using sensor technologies, allowing continuous and automated health monitoring of livestock. This aims in establishing an early warning system to optimize herd health management and fostering decision making.

DOI: 10.19103/AS.2020.0086.04
Table of contents 1 Introduction 2 Shift in the veterinary profession 3 Information management systems 4 On-farm diagnostic tests 5 Electronic devices and precision livestock farming technologies 6 Case study: detecting subclinical ketosis in dairy cows 7 Conclusion and future trends in research 8 Where to look for further information 9 References

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