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Near-Infrared Spectroscopic Sensing System for Online Monitoring of Milk Quality during Milking

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/20500

Title: Near-Infrared Spectroscopic Sensing System for Online Monitoring of Milk Quality during Milking
Authors: Kawamura, Shuso Browse this author →KAKEN DB
Kawasaki, Masataka Browse this author
Nakatsuji, Hiroki Browse this author
Natsuga, Motoyasu Browse this author
Keywords: Near-infrared spectroscopy
NIR
dairy farming
milk quality
quality control
diagnosis
Issue Date: Mar-2007
Publisher: Springer
Journal Title: Sensing and Instrumentation for Food Quality and Safety
Volume: 1
Issue: 1
Start Page: 37
End Page: 43
Publisher DOI: 10.1007/s11694-006-9001-x
Abstract: There has been a need in recent years for a method that will enable dairy farmers to monitor milk quality of individual cow during milking. We constructed a near-infrared (NIR) spectroscopic sensing system for online monitoring of milk quality on an experimental basis. This system enables NIR spectra of unhomogenized milk to be obtained during milking over a wavelength range of 600 nm to 1050 nm. We developed calibration models for predicting three major milk constituents (fat, protein and lactose), somatic cell count (SCC) and milk urea nitrogen (MUN) of unhomogenized milk, and we validated the precision and accuracy of the models. The coefficient of determination (r2) and standard error of prediction (SEP) of the validation set were obtained: for fat, r2 = 0.95, SEP = 0.42%; for protein, r2 = 0.91, SEP = 0.09%; for lactose, r2 = 0.94, SEP = 0.05%; for SCC, r2 = 0.82, SEP = 0.27 log SCC/mL; and for MUN, r2 = 0.90, SEP = 1.33 mg/dL, respectively. These results indicated that the NIR spectroscopic sensing system developed in this study could be used to monitor milk quality in real-time during milking. The system can provide dairy farmers with information on milk quality and physiological condition of each cow and therefore give them feedback control for producing milk of high quality and for optimizing dairy farm management.
Rights: The original publication is available at www.springerlink.com
Type: article (author version)
URI: http://hdl.handle.net/2115/20500
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

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