Fast Discrimination of Commerical Corn Varieties Based on Near Infrared Spectra
文献类型：期刊论文
| 作者 | Wu WJ (Wu Wen-jin) ; Wang HW (Wang Hong-wu) ; Chen SJ (Chen Shao-jiang) ; Guo TT (Guo Ting-ting) ; Wang SJ (Wang Shou-jue) ; Su Q (Su Qian) ; Sun M (Sun Ming) ; An D (An Dong) |
| 刊名 | spectroscopy and spectral analysis
 |
| 出版日期 | 2010 |
| 卷号 | 30期号:5页码:1248-1251 |
| 关键词 | Near infrared spectral(NIRS) |
| 通讯作者 | an, d, china agr univ, coll informat & elect engn, beijing 100083, peoples r china. 电子邮箱地址: wanna1106@163.com ; andong@semi.ac.cn |
| 合作状况 | 国内 |
| 英文摘要 | the existing methods for the discrimination of varieties of commodity corn seed are unable to process batch data and speed up identification, and very time consuming and costly. the present paper developed a new approach to the fast discrimination of varieties of commodity corn by means of near infrared spectral data. firstly, the experiment obtained spectral data of 37 varieties of commodity corn seed with the fourier transform near infrared spectrometer in the wavenurnber range from 4 000 to 12 000 cm (1). secondly, the original data were pretreated using statistics method of normalization in order to eliminate noise and improve the efficiency of models. thirdly, a new way based on sample standard deviation was used to select the characteristic spectral regions, and it can search very different wavenumbers among all wavenumbers and reduce the amount of data in part. fourthly, principal component analysis (pca) was used to compress spectral data into several variables, and the cumulate reliabilities of the first ten components were more than 99.98%. finally, according to the first ten components, recognition models were established based on bpr. for every 25 samples in each variety, 15 samples were randomly selected as the training set. the remaining 10 samples of the same variety were used as the first testing set, and all the 900 samples of the other varieties were used as the second testing set. calculation results showed that the average correctness recognition rate of the 37 varieties of corn seed was 94.3%. testing results indicate that the discrimination method had higher precision than the discrimination of various kinds of commodity corn seed. in short, it is feasible to discriminate various varieties of commodity corn seed based on near infrared spectroscopy and bpr.; submitted by 阎军 (yanj@red.semi.ac.cn) on 2010-05-24t07:01:32z no. of bitstreams: 0; submitted by 阎军 (yanj@red.semi.ac.cn) on 2010-05-24t07:01:32z no. of bitstreams: 0; 国内 |
| 学科主题 | 人工智能 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2010-05-24 ; 2010-10-15 |
| 源URL | [http://ir.semi.ac.cn/handle/172111/11241]  |
| 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 | Wu WJ ,Wang HW ,Chen SJ ,et al. Fast Discrimination of Commerical Corn Varieties Based on Near Infrared Spectra[J]. spectroscopy and spectral analysis,2010,30(5):1248-1251. |
| APA | Wu WJ .,Wang HW .,Chen SJ .,Guo TT .,Wang SJ .,...&An D .(2010).Fast Discrimination of Commerical Corn Varieties Based on Near Infrared Spectra.spectroscopy and spectral analysis,30(5),1248-1251. |
| MLA | Wu WJ ,et al."Fast Discrimination of Commerical Corn Varieties Based on Near Infrared Spectra".spectroscopy and spectral analysis 30.5(2010):1248-1251. |
入库方式： OAI收割
来源：半导体研究所
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