HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Agriculture / Faculty of Agriculture >
Peer-reviewed Journal Articles, etc >

On-line Near-Infrared Spectroscopic Sensing Techniques for Assessing Milk Quality in Automatic Milking Systems

Files in This Item:
Ka2004-1 Finished On-line NIR for milk by Kawamura.pdf396.72 kBPDFView/Open
Please use this identifier to cite or link to this item:

Title: On-line Near-Infrared Spectroscopic Sensing Techniques for Assessing Milk Quality in Automatic Milking Systems
Authors: Kawamura, S. Browse this author →KAKEN DB
Kawasaki, M. Browse this author
Morita, S. Browse this author
Komiya, M. Browse this author
Itoh, K. Browse this author
Keywords: dairy precision farming
quality control
milk fat
somatic cell count
milk urea nitrogen
Issue Date: 2004
Publisher: ASAE/CSAE
Journal Title: ASAE/CSAE Meeting Paper
Start Page: No. 043115
Abstract: We constructed an on-line near-infrared (NIR) spectroscopic sensing system on an experimental basis. The sensing system enables NIR spectra of unhomogenized milk to be obtained in automatic milking systems over a wavelength range of 600 nm to 1050 nm. Calibration models for determining three major milk constituents (fat, protein and lactose), somatic cell count (SCC) and milk urea nitrogen (MUN) of unhomogenized milk were developed, and the precision and accuracy of the models were validated. The coefficient of determination (r2) and standard error of prediction (SEP) of the validation set for fat were 0.95 and 0.27%, respectively. The values of r2 and SEP for protein were 0.72 and 0.15%, those for lactose were 0.85 and 0.18%, those for SCC were 0.62 and 0.32 log SCC/mL, and those for MUN were 0.68 and 2.08 mg/dL, respectively. These results indicate that the NIR sensing system developed in this study could be used to assess milk quality in real time in automatic milking systems. The system can provide dairy farmers with information on milk quality and physiological condition of individual cows and therefore give them feedback control for optimizing dairy farm management. By using the system dairy farmers will be able to produce high-quality milk and dairy precision farming will be realized
Description: Written for presentation at the 2004 ASAE/CSAE Annual International Meeting Sponsored by ASAE/CSAE
Rights: Technical presentations are not subject to the formal peer review process, therefore, they are not to be presented as refereed publications. Citation of this work should state that it is from an ASAE/CSAE meeting paper. EXAMPLE: Author's Last Name, Initials. 2004. Title of Presentation. ASAE/CSAE Meeting Paper No. 043155. St. Joseph, Mich.: ASAE.
Type: article
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 川村 周三

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 - Hokkaido University