Fast discrimination of commerical corn varieties based on near infrared spectra
文献类型：期刊论文
| 作者 | Wu Wen-jin1; Wang Hong-wu2; Chen Shao-jiang2; Guo Ting-ting3; Wang Shou-jue3; Su Qian1; Sun Ming1; An Dong1 |
| 刊名 | Spectroscopy and spectral analysis
 |
| 出版日期 | 2010-05-01 |
| 卷号 | 30期号:5页码:1248-1251 |
| 关键词 | Near infrared spectral(nirs) Biomimetic pattern recognition (bpr) Commerical corn seed Discrimination |
| ISSN号 | 1000-0593 |
| DOI | 10.3964/j.issn.1000-0593(2010)05-1248-04 |
| 通讯作者 | An dong(andong@semi.ac.cn) |
| 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. |
| WOS关键词 | MODEL ; SPECTROSCOPY ; CALIBRATION |
| WOS研究方向 | Spectroscopy |
| WOS类目 | Spectroscopy |
| 语种 | 英语 |
| WOS记录号 | WOS:000277256200022 |
| 出版者 | OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2427862 |
| 专题 | 半导体研究所 |
| 通讯作者 | An Dong |
| 作者单位 | 1.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China 2.China Agr Univ, Natl Maize Improvement Ctr China, Beijing 100094, Peoples R China 3.Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu Wen-jin,Wang Hong-wu,Chen Shao-jiang,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 Wen-jin.,Wang Hong-wu.,Chen Shao-jiang.,Guo Ting-ting.,Wang Shou-jue.,...&An Dong.(2010).Fast discrimination of commerical corn varieties based on near infrared spectra.Spectroscopy and spectral analysis,30(5),1248-1251. |
| MLA | Wu Wen-jin,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： iSwitch采集
来源：半导体研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。