A New Discrimination Method of Maize Seed Varieties Based on Near-Infrared Spectroscopy
文献类型：期刊论文
| 作者 | Guo TT (Guo Ting-ting) ; Wang SJ (Wang Shou-jue) ; Wang HW (Wang Hong-wu) ; Hu HX (Hu Hai-xiao) ; An D (An Dong) ; Wu WJ (Wu Wen-jin) ; Xia W (Xia Wei) ; Zhai YF (Zhai Ya-feng) |
| 刊名 | spectroscopy and spectral analysis
 |
| 出版日期 | 2010 |
| 卷号 | 30期号:9页码:2372-2376 |
| 关键词 | Near infrared spectroscopy Maize Variety discrimination Biomimetic pattern recognition |
| 通讯作者 | zhai, yf, china agr univ, coll biol sci, beijing 100193, peoples r china. e-mail address: hellogtt@semi.ac.cn ; zhaiyafeng@gmail.com |
| 合作状况 | 国内 |
| 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.; submitted by 阎军 (yanj@red.semi.ac.cn) on 2010-10-11t02:51:24z no. of bitstreams: 1 a new discrimination method of maize seed varieties based on near-infrared spectroscopy.pdf: 995184 bytes, checksum: b9f864fd9e554de2d17c8500100b9120 (md5); approved for entry into archive by 阎军(yanj@red.semi.ac.cn) on 2010-10-11t03:10:30z (gmt) no. of bitstreams: 1 a new discrimination method of maize seed varieties based on near-infrared spectroscopy.pdf: 995184 bytes, checksum: b9f864fd9e554de2d17c8500100b9120 (md5); made available in dspace on 2010-10-11t03:10:30z (gmt). no. of bitstreams: 1 a new discrimination method of maize seed varieties based on near-infrared spectroscopy.pdf: 995184 bytes, checksum: b9f864fd9e554de2d17c8500100b9120 (md5) previous issue date: 2010; 国内 |
| 学科主题 | 人工智能 |
| 收录类别 | SCI |
| 语种 | 中文 |
| 公开日期 | 2010-10-11 ; 2010-10-15 |
| 源URL | [http://ir.semi.ac.cn/handle/172111/13542]  |
| 专题 | 半导体研究所_半导体人工神经网络实验室 |
| 推荐引用方式 GB/T 7714 | Guo TT ,Wang SJ ,Wang HW ,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 TT .,Wang SJ .,Wang HW .,Hu HX .,An D .,...&Zhai YF .(2010).A New Discrimination Method of Maize Seed Varieties Based on Near-Infrared Spectroscopy.spectroscopy and spectral analysis,30(9),2372-2376. |
| MLA | Guo TT ,et al."A New Discrimination Method of Maize Seed Varieties Based on Near-Infrared Spectroscopy".spectroscopy and spectral analysis 30.9(2010):2372-2376. |
入库方式： OAI收割
来源：半导体研究所
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