Geographical Differentiation of Green Coffees According to Their Metal Content by Means of Supervised Pattern Recognition Techniques

Food Analytical Methods

Volumn 6, Issue 5, 2013, Pages 1271-1277

  Muñiz Valencia, Roberto ^a   Jurado, Jose M ^b   Ceballos Magaña, Silvia G ^a   Alcázar, Angela ^b   Reyes, Juan ^a  

^a UNIVERSIDAD DE COLIMA   (Mexico)

^b UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Coffee; Geographical authentication; Linear discriminant analysis; Metal content; Pattern recognition; Soft independent modeling of class analogy

Indexed keywords

GEOGRAPHICAL AUTHENTICATIONS; GREEN COFFEE BEANS; INDUCTIVELY COUPLED PLASMA-OPTICAL EMISSION SPECTROMETRY; KRUSKAL-WALLIS TESTS; LINEAR DISCRIMINANT ANALYSIS; METAL CONTENT; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES; SUPERVISED PATTERN RECOGNITION;

AUTHENTICATION; COFFEE; INDUCTIVELY COUPLED PLASMA; OPTICAL EMISSION SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS;

PATTERN RECOGNITION;

EID: 84883789649     PISSN: 19369751     EISSN: 1936976X     Source Type: Journal    
DOI: 10.1007/s12161-012-9538-8     Document Type: Article

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