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ZJUS-B
Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology)  2005, Vol. 6 Issue (11): 1095-1100    DOI: 10.1631/jzus.2005.B1095
Biotechnology     
Identification of rice seed varieties using neural network
LIU Zhao-yan, CHENG Fang, YING Yi-bin, RAO Xiu-qin
School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China
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Abstract  A digital image analysis algorithm based color and morphological features was developed to identify the six varieties (ey7954, syz3, xs11, xy5968, xy9308, z903) rice seeds which are widely planted in Zhejiang Province. Seven color and fourteen morphological features were used for discriminant analysis. Two hundred and forty kernels used as the training data set and sixty kernels as the test data set in the neural network used to identify rice seed varieties. When the model was tested on the test data set, the identification accuracies were 90.00%, 88.00%, 95.00%, 82.00%, 74.00%, 80.00% for ey7954, syz3, xs11, xy5968, xy9308, z903 respectively.

Key words： Machine vision      Digital image processing      Neural network      Rice seeds      Classification     
Received: 11 July 2005     
CLC:  S51  
  TP39  
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LIU Zhao-yan
CHENG Fang
YING Yi-bin
RAO Xiu-qin
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LIU Zhao-yan, CHENG Fang, YING Yi-bin, RAO Xiu-qin. Identification of rice seed varieties using neural network. Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology), 2005, 6(11): 1095-1100.

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http://www.zjujournals.com/xueshu/zjus-b/10.1631/jzus.2005.B1095     OR     http://www.zjujournals.com/xueshu/zjus-b/Y2005/V6/I11/1095

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