Detection of Honey Adulteration using Hyperspectral Imaging

IFAC-PapersOnLine

Volumn 49, Issue 16, 2016, Pages 311-314

  Shafiee, Sahameh ^a   Polder, Gerrit ^b   Minaei, Saeid ^a   Moghadam Charkari, Nasrolah ^a   van Ruth, Saskia ^b   Kuś, Piotr M ^c  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c WROCLAW MEDICAL UNIVERSITY   (Poland)

Author keywords

Artificial neural network; Honey adulteration; Hyperspectral imaging; Linear discriminant classifier; Support vector machine

Indexed keywords

DATA MINING; DISCRIMINANT ANALYSIS; FOOD PRODUCTS; IMAGE CLASSIFICATION; NEURAL NETWORKS; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

ANN CLASSIFIERS; CLASSIFICATION ACCURACY; CLASSIFICATION RATES; HONEY ADULTERATION; HYPER-SPECTRAL CAMERAS; LINEAR DISCRIMINANT ANALYSIS; LINEAR DISCRIMINANT CLASSIFIER; SUPERVISED IMAGE CLASSIFICATIONS;

HYPERSPECTRAL IMAGING;

EID: 84994691844     PISSN: None     EISSN: 24058963     Source Type: Conference Proceeding    
DOI: 10.1016/j.ifacol.2016.10.057     Document Type: Conference Paper

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