Quantitative Prediction of Beef Quality Using Visible and NIR Spectroscopy with Large Data Samples Under Industry Conditions

Journal of Applied Spectroscopy

Volumn 82, Issue 1, 2015, Pages 137-144

  Qiao, T ^a   Ren, J ^a   Craigie, C ^b,c   Zabalza, J ^a   Maltin, Ch ^b,d   Marshall, S ^a  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b Quality Meat Scotland   (United Kingdom)

^c RUAKURA RESEARCH CENTRE   (New Zealand)

^d Biomics Ltd   (United Kingdom)

Author keywords

beef quality; partial least squares regression; principal component analysis; support vector machine; visible and near infrared spectroscopy

Indexed keywords

EID: 84953371180     PISSN: 00219037     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10812-015-0076-1     Document Type: Article

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