Automatic detection of aflatoxin contaminated corn kernels using dual-band imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7315, Issue , 2009, Pages

  Ononye, Ambrose E ^a   Yao, Haibo ^a   Hruska, Zuzana ^a   Kincaid, Russell ^a   Brown, Robert L ^b   Cleveland, Thomas E ^b  

^a STENNIS SPACE CENTER   (United States)

^b SOUTHERN REGIONAL RESEARCH CENTER   (United States)

Author keywords

Aflatoxin detection; Corn kernels; Hyperspectral imaging; Non destructive; Non invasive

Indexed keywords

ANALYTICAL METHOD; ANIMAL CONSUMPTION; ASPERGILLUS FLAVUS; AUTOMATIC DETECTION; CONTAMINATION LEVELS; CONVENTIONAL APPROACH; CORN KERNELS; DUAL-BAND; FLUORESCENCE EMISSION SPECTRA; GRAIN PRODUCT; HIGH DIMENSIONALITY; HYPERSPECTRAL IMAGE ANALYSIS; HYPERSPECTRAL IMAGING; INVASIVE METHODS; LIVER DAMAGE; NON-DESTRUCTIVE; NON-INVASIVE; NON-INVASIVE WAY; SPATIAL RESOLUTION; ULTRAVIOLET LIGHT EXCITATION; US FOOD AND DRUG ADMINISTRATION;

AGRICULTURE; ANIMALS; CONTAMINATION; DRUG PRODUCTS; EMISSION SPECTROSCOPY; GRAIN (AGRICULTURAL PRODUCT); IMAGE ANALYSIS; LEAD;

AFLATOXINS;

EID: 69649099481     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.818307     Document Type: Conference Paper

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