Method of evaluating diversity of carrot roots using a self-organizing map and image data

Computers and Electronics in Agriculture

Volumn 79, Issue 1, 2011, Pages 75-81

  Janaszek, Monika A ^a   Trajer, Jdrzej J ^a  

^a WARSAW UNIVERSITY OF LIFE SCIENCES   (Poland)

Author keywords

Carrot; Classification; Image data analysis; K means clustering; Processing suitability; Self organizing maps

Indexed keywords

CARROT; CARROT CULTIVARS; COMPREHENSIVE EVALUATION; FOOD PROCESSING PLANTS; IMAGE DATA; IMAGE DATA ANALYSIS; IMAGE PARAMETERS; K-MEANS CLUSTERING; K-MEANS METHOD; NUTRITIONAL VALUE; PROCESSING INDUSTRY; PRODUCT PARAMETERS; SELF ORGANIZATION ALGORITHM; SELF ORGANIZING; SORTING MATERIAL; TOPOLOGICAL MAP;

DATA REDUCTION; FOOD PROCESSING;

CONFORMAL MAPPING;

AGRICULTURAL TECHNOLOGY; AGROINDUSTRY; ALGORITHM; COLOR; CULTIVAR; DATA SET; EXPERIMENTAL STUDY; FOOD PROCESSING; IMAGE ANALYSIS; MAP; NUTRITIVE VALUE; ROOT SYSTEM; ROOT VEGETABLE; TOPOLOGY;

DAUCUS CAROTA;

EID: 80053175386     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2011.07.010     Document Type: Article

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