Analysis of Body Surface Temperature Data Based on Wavelet Transform for Detection of Optimal Insemination Phase in Cattle

Abstract

In this paper, biological data (body surface temperature) is analyzed so as to develop prediction systems for artificial insemination phase of cattle. First of all, scalograms obtained by applying the continuous wavelet transform to body surface temperature data is calculated, and next NSIα (Normalized Spectrum Index with degree α) can be generated by using scalograms. On the basis of NSIα, feature parameters related to the artificial insemination phase are extracted. These occur in the interval −2.6 to −0.79[day] before ovulation and at similar times among same individuals.