农业工程学报2011，Vol.27Issue(4)：350-354,5.DOI:10.3969/j.issn.1002-6819.2011.04.061
基于近红外光谱的烤烟烟叶自动分组方法
Auto-grouping method of flue-cured tobacco leaves based on near infrared spectra technology
摘要
Abstract
In order to explore the nondestructive testing technology of flue-cured tobacco leaf on purchasing quality, the new method of fast classify tobacco leafs group (parts, color) was proposed based on near infrared spectral technology. The feasibility of applying near infrared spectral technology to evaluate the complete flue-cured tobacco leaves quality was analyzed.. The prediction performances of different band range, different principal component numbers and different preprocessing methods of the spectra (multiplicative signal correction, standard normal variation, and derivative spectra) together with discriminant analysis (DA) were also investigated, and the calibration model was respectively established to classify the different parts and color of the flue-cured tobacco leaves. The research results for the tobacco leaf classification showed that DA calibration model using the parameters of band range between 1 101 and 2 395 nm combined with original spectra was optimal, which the correct percentage of classification on part and color of tobacco leaf was 100% for calibration sets, and it was 98.6% and 97.1% respectively for validation set. It is proved that the new method proposed in this study is capable to discriminate the parts and color of tobacco leaves with high accuracy. In addition, it might provide a new method to discriminate tobacco leaves group.关键词
近红外光谱/烤烟烟叶/分组/判别分析Key words
near-infrared spectral/flue-cured tobacco leaf/grouping/discriminant analysis分类
信息技术与安全科学引用本文复制引用
章英,贺立源..基于近红外光谱的烤烟烟叶自动分组方法[J].农业工程学报,2011,27(4):350-354,5.基金项目
国家科技支撑计划(2006BAD10A1304)云南省烟草烟叶公司攻关项目(2009YN010) （2006BAD10A1304）
