Analysis of Biological Data of Cows and Development of Detection Systems for Calving Phase

In this paper, we analyze body surface temperature data of cows, and detect for the calving phase of cows. Firstly, appropriate preprocessing is applied to waveforms for analysis. Specifically, the waveform to be analyzed is extracted from the cow's body surface temperature data, and next outlier in the body surface temperature data is removed. Secondly approximate waveforms based on Fourier series expansion are generated. Additionally, a nominal waveform which does not correspond to calving phase is reconstructed, and feature parameters are extracted from the nominal waveform. Finally, by using the Mahalanobis distance, the proposed detect system for calving phase is developed. Furthermore, the extraction range of the waveform to be analyzed is discussed, and we show the effectiveness of the proposed detection system.