TY - JOUR
T1 - Automatic detection of oestrus cows via breath sampling with an electronic nose
T2 - A pilot study
AU - Sanderink, Francis E.P.
AU - Gerritsen, Jan Willem
AU - Groot Koerkamp, Peter W.G.
AU - van Mourik, Simon
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Diagnosis
KW - Electronic nose (eNose)
KW - Exhaled breath
KW - Oestrus
U2 - 10.1016/j.biosystemseng.2017.01.004
DO - 10.1016/j.biosystemseng.2017.01.004
M3 - Article
AN - SCOPUS:85012285874
VL - 156
SP - 1
EP - 6
JO - Biosystems Engineering
JF - Biosystems Engineering
SN - 1537-5110
ER -