Classifying Paddy Rice by Morphological and Color Features Using Machine Vision

From: Cereal Chemistry | Date: November 1, 2005| Author: | Copyright information

ABSTRACT

From five paddy rice cultivars grown in Taiwan and harvested in the summers of 1997, 1998, and 1999, five calibrated models were established by backpropagation neural network program through different morphological and color features selection for classifying paddy rice harvested in the summer of 2000. With 60 features, the average classification rates of Model 1 and Model 5 were 92 and 99.8%, respectively. With the most effective 50 features, by loading in the first principal component, the average classification rate of Model 2 was 90.0%. With 35 features selected from the ...

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