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Online Detection in the Separation Process of Tobacco Leaf Stems as Biomass Byproducts Based on Low Energy X-Ray Imaging

文献类型： 外文期刊

作者： Zhu, Wenkui 1 ; Chen, Liangyuan 1 ; Wang, Bin 1 ; Wang, Zhaogai 2 ;

作者机构： 1.CNTC, Zhengzhou Tobacco Res Inst, 2 Fengyang St, Zhengzhou 450001, Henan, Peoples R China

2.Henan Acad Agr Sci, Inst Agr Prod Proc, 115 Huayuan Rd, Zhengzhou 450002, Henan, Peoples R China

关键词： Tobacco leaf stems; Biomass byproducts; Online detection; Separation; X-ray imaging

期刊名称：WASTE AND BIOMASS VALORIZATION （ 影响因子：3.703； 五年影响因子：3.624 ）

ISSN： 1877-2641

年卷期： 2018 年 9 卷 8 期

页码：

收录情况： SCI

摘要： Stems often need to be separated from leaves and used alone as biomass byproducts in the agro-processing industry involving utilization of crops leaves. However, an effective method to detect stems from leaves is needed. In this study, X-ray imaging combined with digital photography analysis was applied to online detection of stems from threshed tobacco leaves. The optimal conditions for the inspection system were: X-ray radiation intensity of 70 keV, detection belt speed of 1.6 m/s, and gray threshold of 40,000. The free stems and leaf strips containing stems were used as target samples to validate the method. The test results showed that identification accuracies for both free stems and leaf strips containing stems were >98.0%. When leaf strips containing stems were mixed with pure leaves, identification accuracy of stems was 94.5%, and rejecting accuracy was 92.0%. These results indicate that this method is a reliable classification solution for threshed tobacco leaves.

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