主成分分析和聚类分析在烟叶质量评价中的应用
Application of Principal Component Analysis and Cluster Analysis in Tobacco Quality Evaluation
-
摘要: 采用主成分分析和聚类分析方法,结合外观质量和化学成分指标,对河南省信阳烟区45个烤烟样品进行了质量评价。结果表明,信阳烟区烟叶整体外观质量较好,油分、色度、正反色差和叶面均匀度稍差;化学成分多数指标符合优质烟叶的要求,但总氮和钾含量偏低,淀粉含量稍高。45个样品的聚类分析结果分为3个类别,综合了8个外观质量指标和8个化学成分指标,剔除了16个指标之间的重复信息。Abstract: Combining with appearance quality and chemical analysis, the quality of 45 samples from Xinyang tobacco growing area in Henan was evaluated by principal component analysis and cluster analysis.The results showed that the appearance quality of samples was fine in general, while they were slightly weak in oil, colority, chromatism and leaf surface uniformity.The contents of the majority of chemical components were up to the standard of quality tobacco leaf, though total nitrogen and K were lower and starch was slightly higher.The samples were divided into 3 groups by cluster analysis, which integrated 8 appearance indexes with 8 chemical indexes and rejected repeated information among the 16 indexes.
下载: