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Identification of rice seed varieties using neural network

  • Biotechnology
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Journal of Zhejiang University-SCIENCE B Aims and scope Submit manuscript

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.

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Authors and Affiliations

  1. School of Biosystems Engineering and Food Science, Zhejiang University, 310029, Hangzhou, China

    Zhao-yan Liu, Fang Cheng, Yi-bin Ying & Xiu-qin Rao

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  1. Zhao-yan Liu
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  2. Fang Cheng
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  3. Yi-bin Ying
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  4. Xiu-qin Rao
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Correspondence to Fang Cheng.

Additional information

Project supported by the National Natural Science Foundation of China (No. 60008001) and the Natural Science Foundation of Zhejiang Province, China (No. 300297)

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Liu, Zy., Cheng, F., Ying, Yb. et al. Identification of rice seed varieties using neural network. J Zheijang Univ Sci B 6, 1095–1100 (2005). https://doi.org/10.1631/jzus.2005.B1095

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  • DOI: https://doi.org/10.1631/jzus.2005.B1095

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