Bovi-Analytics

a platform to educate veterinary students on large data sets in dairy cows

Authors

  • M. Hostens Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
  • K. Hermans Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
  • J. De Koster Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
  • B. Van Ranst Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
  • J. Vandepitte Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
  • G. Opsomer Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium

DOI:

https://doi.org/10.21423/aabppro20153651

Keywords:

precision livestock farming, reproduction, production, health, rectal temperature, vaginal temperature, ruminal temperature

Abstract

Nowadays, data is stored on farm with a focus on reproduction, production, and health parameters. Recently, this has been increased with a vast amount of data coming from new so called precision livestock farming (PLF) technologies. These PLF technologies includes rectal, vaginal, and ruminal temperature data loggers, accelerometers, automated weight scales, 3D-imaging technologies and many others. However, they commonly create large data sets, which are stored in on-farm databases that do not reach the veterinary community. The objective of the current initiative is to help re-establish that veterinary link to on-farm data by including large data set analysis in the veterinary curriculum.

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Published

2015-09-17

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