SCOPUS 정보 검색 플랫폼

Volumn 103, Issue , 2013, Pages 130-136

Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis

(4) Kamruzzaman, Mohammed a Sun, Da Wen a ElMasry, Gamal a Allen, Paul b

a UNIVERSITY COLLEGE DUBLIN (Ireland)

b ASHTOWN FOOD RESEARCH CENTRE (Ireland)

Author keywords

Adulteration; Authentication; Minced lamb meat; NIR hyperspectral imaging; PLSR and MLR

Indexed keywords

AUTHENTICATION; FORECASTING; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; LINEAR REGRESSION; MEAN SQUARE ERROR; MEATS; MULTIVARIANT ANALYSIS; NONDESTRUCTIVE EXAMINATION; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY;

ADULTERATION; LAMB MEATS; MULTIPLE LINEAR REGRESSION MODELS; MULTIVARIATE IMAGE ANALYSIS; NIR HYPERSPECTRAL IMAGING; NONDESTRUCTIVE DETECTION; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); PLSR AND MLR;

HYPERSPECTRAL IMAGING;

ANIMAL; ARTICLE; FOOD CONTAMINATION; IMAGE PROCESSING; MEAT; MULTIVARIATE ANALYSIS; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; SHEEP; SWINE;

ANIMALS; FOOD CONTAMINATION; IMAGE PROCESSING, COMPUTER-ASSISTED; MEAT; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SHEEP; SPECTROSCOPY, NEAR-INFRARED; SWINE;

EID: 84878443762 PISSN: 00399140 EISSN: None Source Type: Journal
DOI: 10.1016/j.talanta.2012.10.020 Document Type: Article

Times cited : (201)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.