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cjhycy木虫 (正式写手)
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求一篇文章的EI号，请提出相关信息，谢谢！ 蔡剑华 ,王先春，胡惟文,基于形态小波的烟草尼古丁含量近红外光谱检测, 农业工程学报, 2012,28（15）：281-286 译： Cai Jianhua. Near-infrared spectrum detection of tobacco nicotine content based on morphological wavelet, |
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liusir3836
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liu2004m: 金币+10, 谢谢支持 2013-02-06 11:44:11
liu2004m: 博学EPI+1, 谢谢支持！ 2013-02-06 11:44:20
liu2004m: 金币+10, 谢谢支持 2013-02-06 11:44:11
liu2004m: 博学EPI+1, 谢谢支持！ 2013-02-06 11:44:20
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Accession number: 20124415630982 Title: Near-infrared spectrum detection of tobacco nicotine content based on morphological wavelet Authors: Cai, Jianhua1 ; Wang, Xianchun1; Hu, Weiwen1 Author affiliation: 1 Information Institute, Hunan University of Arts and Science, Changde 415000, China Corresponding author: Cai, J. (cjh1021cjh@163.com) Source title: Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering Abbreviated source title: Nongye Gongcheng Xuebao Volume: 28 Issue: 15 Issue date: August 1, 2012 Publication year: 2012 Pages: 281-286 Language: Chinese ISSN: 10026819 CODEN: NGOXEO Document type: Journal article (JA) Publisher: Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China Abstract: In order to improve the accuracy of non-destructive detection of nicotine content of tobacco, a novel method was proposed to get the pretreatment of near-infrared (NIR) spectrum based on morphological wavelet de-noising. The principle and steps of the method were given. The first derivative NIR spectrum of tobacco was served as the target to evaluate the application effect of this method. Then the tobacco nicotine content was calculated based on the de-noised spectrum, and it was compared with the result from wavelet method. Experimental results show that as a kind of nonlinear wavelet, morphological wavelet has both the morphological characteristic of mathematical morphology and the multi-resolution feature of wavelet. It had good performance in keeping details of spectrum and resisting noises. Compared to wavelet threshold method, it had more ideal effects that the correlation ratio (r2) of the prediction set was improved from 0.9877 to 0.9931, and the RMSEP reduced from 0.0539 to 0.0492. The method can be a reference for improving the accuracy of the detection of nicotine content of tobacco and the robustness of model by using near infrared spectroscopy. |
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