Comparing data mining classifiers for grading raisins based on visual features

Computers and Electronics in Agriculture

Volumn 84, Issue , 2012, Pages 124-131

  Mollazade, Kaveh ^a   Omid, Mahmoud ^a   Arefi, Arman ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b URMIA UNIVERSITY   (Iran)

Author keywords

Bayesian networks; Decision tree; Image processing; Quality control; Support vector machines; WEKA

Indexed keywords

BAYESIAN NETWORKS; DATA MINING; DECISION TREES; IMAGE PROCESSING; IMAGE SEGMENTATION; NEURAL NETWORKS; QUALITY CONTROL; SIMULATED ANNEALING; SUPPORT VECTOR MACHINES;

BAYESIAN NETWORKS (BNS); CLASSIFICATION ACCURACY; DECISION TREES (DTS); POLYNOMIAL KERNELS; PRE-PROCESSING; SHAPE FEATURES; SORTING SYSTEM; VALIDATION STAGES; VISUAL FEATURE; WEKA;

FEATURE EXTRACTION;

ACCURACY ASSESSMENT; AGRICULTURAL PRODUCTION; ALGORITHM; ARTIFICIAL NEURAL NETWORK; BAYESIAN ANALYSIS; DATA MINING; DECISION SUPPORT SYSTEM; FRUIT; IMAGE PROCESSING; MODEL VALIDATION; PRECISION AGRICULTURE; QUALITY CONTROL; RESEARCH WORK; SEGMENTATION; TOPOLOGY; VECTOR; VITICULTURE;

EID: 84975830551     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.03.004     Document Type: Article

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