Automatic detection of oestrus cows via breath sampling with an electronic nose: A pilot study

Francis E.P. Sanderink, Jan Willem Gerritsen, Peter W.G. Groot Koerkamp, Simon van Mourik*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

To explore the possibility of automating the process of detecting oestrus cows via electronic olfaction, we designed and built an integrated measurement system consisting of a breath sample device, electronic nose, and a diagnosis model. The diagnosis performance, using a data set of 71 measurements on 52 cows in total, was a receiver operating characteristic curve with an area under the curve of 0.86, which had 83% sensitivity and 86% specificity for a specifically chosen threshold value. These results indicate a potential for automated detection based on breath sampling.
Original languageEnglish
Pages (from-to)1-6
JournalBiosystems Engineering
Volume156
DOIs
Publication statusPublished - 2017

Keywords

  • Diagnosis
  • Electronic nose (eNose)
  • Exhaled breath
  • Oestrus

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