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Alterations in sick dairy cows' daily behavioural patterns.

I Dittrich1, M Gertz1, J Krieter1

  • 1Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, Olshausenstraße 40, D-24098, Kiel, Germany.

Heliyon
|December 5, 2019
PubMed
Summary

Automated sensor systems can detect sickness in dairy cows by monitoring changes in their behavior, such as activity and feeding patterns. This technology is crucial for early disease detection in large herds.

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Area of Science:

  • Animal Science
  • Veterinary Medicine
  • Agricultural Technology

Background:

  • Modern dairy farming faces challenges with increasing herd sizes, complicating traditional visual monitoring of cow health.
  • Reliance on visual observation for diagnosing production diseases is becoming insufficient due to herd size limitations.

Purpose of the Study:

  • To review the impact of production diseases on the daily behavioral patterns of dairy cows.
  • To highlight the necessity of automated detection systems for identifying sickness behavior in large dairy herds.

Main Methods:

  • Review of scientific literature on dairy cow behavior and production diseases.
  • Analysis of sensor system capabilities for monitoring behavioral patterns (activity, resting, feeding, rumination).
Keywords:
Automated measurabilityBehaviour patternsProduction diseasesSickness behaviourVeterinary medicine

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Main Results:

  • Behavioral patterns like prolonged lying or shortened feeding duration are key indicators of sickness.
  • Sensor systems offer a viable method for automated detection of these behavioral changes.
  • External factors can influence behavioral patterns, requiring careful interpretation.

Conclusions:

  • Automated monitoring of dairy cow behavior is essential for early detection of production diseases.
  • Changes in activity, resting, feeding, and rumination patterns signal potential health issues.
  • Sensor technology provides a scalable solution for health management in large-scale dairy operations.