Feasibility of conventional and Roundup Ready® soybeans discrimination by different near infrared reflectance technologies

Food Chemistry

Volumn 134, Issue 2, 2012, Pages 1165-1172

  Esteve Agelet, Lidia ^a   Gowen, Aoife A ^b   Hurburgh Jr , Charles R ^a   O'Donell, Colm P ^b  

^a Iowa State University of Science and Technology   (United States)

^b UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Chemical imaging; Discrimination; Genetically modified organisms; Single seed

Indexed keywords

CHEMICAL IMAGING; DIODE ARRAYS; DISCRIMINATION; DISCRIMINATION ACCURACY; DISCRIMINATION MODEL; GENETICALLY MODIFIED ORGANISMS; GENETICALLY MODIFIED SOYBEANS; IMAGING UNITS; NEAR INFRARED REFLECTANCE; PRINCIPAL COMPONENT REGRESSION; TRAINING SETS;

INFRARED DEVICES; NEURAL NETWORKS; REFLECTION; TUBES (COMPONENTS);

PRINCIPAL COMPONENT ANALYSIS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOTECHNOLOGY; DNA MODIFICATION; IMAGING; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NONHUMAN; PLANT SEED; POLYMERASE CHAIN REACTION; PRINCIPAL COMPONENT ANALYSIS; SOYBEAN;

PLANTS, GENETICALLY MODIFIED; PRINCIPAL COMPONENT ANALYSIS; SEEDS; SOYBEANS; SPECTROSCOPY, NEAR-INFRARED;

GLYCINE MAX;

EID: 84860281554     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2012.02.144     Document Type: Article

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