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CLC number: S51; TP39

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.11 P.1095-1100

http://doi.org/10.1631/jzus.2005.B1095


Identification of rice seed varieties using neural network


Author(s):  LIU Zhao-yan, CHENG Fang, YING Yi-bin, RAO Xiu-qin

Affiliation(s):  School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China

Corresponding email(s):   fcheng@zju.edu.cn

Key Words:  Machine vision, Digital image processing, Neural network, Rice seeds, Classification



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.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Serc@No address<sercsalor@gmail.com>

2013-07-27 12:58:22

Good

kishore@dftgv<njay@yahoo.c>

2011-10-14 02:22:31

wonderful

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