Rapeseed seeds quality classification with usage of VIS-NIR fiber optic probe and artificial neural networks

Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016

Volumn , Issue , 2016, Pages 44-48

  Wojciechowski, Tomasz ^a   Niedbala, Gniewko ^a   Czechlowski, Mirosław ^a   Nawrocka, Janina Rudowicz ^a   Piechnik, Leszek ^a   Niemann, Janetta ^a  

^a POZNA UNIVERSITY OF LIFE SCIENCES   (Poland)

Author keywords

artificial neural networks; classification; rapeseed; VIS NIR spectroscopy

Indexed keywords

CLASSIFICATION (OF INFORMATION); FIBER OPTICS; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; OILSEEDS; OPEN SOURCE SOFTWARE; OPTICAL DATA PROCESSING; OPTOELECTRONIC DEVICES; PROTEINS; SPECTROMETERS; STATISTICAL TESTS;

AUTOMATIC ANALYSIS; CLASSIFICATION ACCURACY; FIBEROPTIC PROBES; NIR REFLECTION SPECTROSCOPIES; NONDESTRUCTIVE METHODS; QUALITY CLASSIFICATION; RAPESEED; VIS-NIR SPECTROSCOPY;

IMAGE PROCESSING;

EID: 84992109488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/OPTIP.2016.7528517     Document Type: Conference Paper

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