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在“
SpringerLink电子期刊
”中,
命中:
1
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1.
Quantitative Prediction of Beef Quality Using Visible and NIR Spectroscopy with Large Data Samples Under Industry Conditions
作者:
T. Qiao (1)
J. Ren (1)
C. Craigie (2) (3)
J. Zabalza (1)
Ch. Maltin (2) (4)
S. Marshall (1)
1. Centre for Excellence in Signal and Image Processing (CeSIP)
;
Dept. of Electronic and Electrical Engineering
;
University of Strathclyde
;
204 George Street
;
Glasgow
;
G1 1XW
;
UK
2. Quality Meat Scotland
;
Rural Centre
;
West Mains
;
Ingliston
Newbridge
;
EH28 8NZ
;
UK
3. AgResearch Ruakura
;
Hamilton
;
3240
;
New Zealand
4. Biomics Ltd
;
Inverurie
;
Aberdeenshire
;
UK
关键词:
visible and near infrared spectroscopy
;
beef quality
;
principal component analysis
;
support vector machine
;
partial least squares regression
刊名:Journal of Applied Spectroscopy
出版年:2015
1
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2015年(1)
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