中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new discrimination method of maize seed varieties based on near-infrared spectroscopy

文献类型:期刊论文

作者Guo Ting-ting2,3; Wang Shou-jue2; Wang Hong-wu4; Hu Hai-xiao5; An Dong6; Wu Wen-jin6; Xia Wei6; Zhai Ya-feng1
刊名Spectroscopy and spectral analysis
出版日期2010-09-01
卷号30期号:9页码:2372-2376
关键词Near infrared spectroscopy Maize Variety discrimination Biomimetic pattern recognition
ISSN号1000-0593
DOI10.3964/j.issn.1000-0593(2010)09-2372-05
通讯作者Zhai ya-feng(zhaiyafeng@gmail.com)
英文摘要A new discrimination method for the maize seed varieties based on the near-infrared spectroscopy was proposed. the reflectance spectra of maize seeds were obtained by a ft-nir spectrometer (12 000-4 000 cm(-1)). the original spectra data were preprocessed by first derivative method. then the principal component analysis (pca) was used to compress the spectra data. the principal components with the cumulate reliabilities more than 80% were used to build the discrimination models. the model was established by psi-3 neuron based on biomimetic pattern recognition (bpr). especially, the parameter of the covering index was proposed to assist to discriminating the variety of a seed sample. the authors tested the discrimination capability of the model through four groups of experiments. there were 10, 18, 26 and 34 varieties training the discrimination models in these experiments, respectively. additionally, another seven maize varieties and nine wheat varieties were used to test the capability of the models to reject the varieties not participating in training the models. each group of the experiment was repeated three times by selecting different training samples at random. the correct classification rates of the models in the four-group experiments were above 91. 8%. the correct rejection rates for the varieties not participating in training the models all attained above 95%. furthermore, the performance of the discrimination models did not change obviously when using the different training samples. the results showed that this discrimination method can not only effectively recognize the maize seed varieties, but also reject the varieties not participating in training the model. it may be practical in the discrimination of maize seed varieties.
WOS关键词BIOMIMETIC PATTERN-RECOGNITION ; MULTIVARIATE-ANALYSIS ; CLASSIFICATION ; SPECTRA
WOS研究方向Spectroscopy
WOS类目Spectroscopy
语种英语
WOS记录号WOS:000281661000016
出版者OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
URI标识http://www.irgrid.ac.cn/handle/1471x/2427867
专题半导体研究所
通讯作者Zhai Ya-feng
作者单位1.China Agr Univ, Coll Biol Sci, Beijing 100193, Peoples R China
2.Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
4.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100193, Peoples R China
5.China Agr Univ, Natl Maize Improvement Ctr China, Beijing 100081, Peoples R China
6.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Guo Ting-ting,Wang Shou-jue,Wang Hong-wu,et al. A new discrimination method of maize seed varieties based on near-infrared spectroscopy[J]. Spectroscopy and spectral analysis,2010,30(9):2372-2376.
APA Guo Ting-ting.,Wang Shou-jue.,Wang Hong-wu.,Hu Hai-xiao.,An Dong.,...&Zhai Ya-feng.(2010).A new discrimination method of maize seed varieties based on near-infrared spectroscopy.Spectroscopy and spectral analysis,30(9),2372-2376.
MLA Guo Ting-ting,et al."A new discrimination method of maize seed varieties based on near-infrared spectroscopy".Spectroscopy and spectral analysis 30.9(2010):2372-2376.

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来源:半导体研究所

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