Automatic detection of oestrus cows via breath sampling with an electronic nose: A pilot study. (April 2017)

• Record Type: Journal Article
• Authors: Sanderink, Francis E.P.; Gerritsen, Jan Willem; Groot Koerkamp, Peter W.G.; van Mourik, Simon
• Is Part Of: Biosystems engineering. Volume 156(2017)
• Page Start: 1
• Page End: 6
• Publication Date: 2017-04
• Subjects: Diagnosis -- Electronic nose (eNose) -- Oestrus -- Exhaled breath; Bioengineering -- Periodicals; Agricultural engineering -- Periodicals; Biological systems -- Periodicals; Génie rural -- Périodiques; Systèmes biologiques -- Périodiques; 631
• DOI: 10.1016/j.biosystemseng.2017.01.004
• Languages: English
• ISSNs: 1537-5110

Abstract

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. Highlights: The potential of automated detection of oestrus cows via breath sampling, is demonstrated. A diagnosis performance of 83% sensitivity, and 86% specificity was obtained. Guidelines for further research and development are set out.