open access

https://hdl.handle.net/2115/71272

Near-infrared Spectroscopy for On-line Real-time Monitoring of Milk Quality : Spectrum Analysis by Principal Component Analysis

英語

score plot

2006

American Society of Agricultural and Biological Engineers (ASABE)

ASABE meeting pape

No. 063049

Written for presentation at the 2006 ASABE Annual International Meeting Sponsored by ASABE

We have constructed a near-infrared (NIR) spectroscopic sensing system on an experimental basis. The NIR system can be used for on-line real-time monitoring of milk quality items such as fat, protein, lactose, somatic cell count, and milk urea nitrogen during milking with sufficient precision and accuracy. However, when the calibration models developed from a dataset were validated using a different data set, the performance of the calibration models was poor except for fat content. It seemed that various factors such as cow individuality, lactation stage and calving time caused the poor performance. However, it was not know which factor affected milk spectra and which wavelength range of the spectra was affected by the factors. We therefore analyzed milk spectra by principal component analysis in order to determine the reasons for poor performance. It was found that milk spectra were greatly affected by fat content and calving time. Calving time had a particularly great effect on the spectra in the wavelength range of 860 to 880 nm. In summary, using principal component analysis, we found the factor most affecting milk spectra and the wavelength of the spectra affected by the factor.

学術雑誌論文

Version of Record

Technical presentations are not subject to the formal peer review process by ASABE editorial committees; therefore, they are not to be presented as refereed publications. Citation of this work should state that it is from an ASABE meeting paper. EXAMPLE: Author's Last Name, Initials. 2006. Title of Presentation. ASABE Paper No. 06xxxx. St. Joseph, Mich.: ASABE.