基于关联规则的皖南焦甜香烟叶外观特征分析

为了探索皖南焦甜香烟叶外观质量的关键指标，以皖南焦甜香烟叶为主体，运用 apriori 关联规则数据挖掘算法，对焦甜香烟叶的外观进行了分析。结果表明，焦甜香烟叶与烟叶的成熟度、油分和色度有较强的关联度，在设定阈值最小支持度为0.3，最小置信度为0.5的条件下，成熟度、油分、色度与焦甜香烟叶属于强关联规则，同时颜色、身份和组织结构与焦甜香烟叶也有较强的关联度。因此，在农业生产或者工业控制中可以考虑建立以成熟度、油分和色度为中心的生产管理体系。

Appearance Quality Analysis of Burnt-sweet Tobacco Leaves Base on Association Rule Algorithm

In order to explore the key index of burnt-sweet tobacco appearance quality, apriori association rules algorithm was used to analyze the appearance quality of tobacco leaves from Wannan of Anhui province. The results indicated that burnt-sweet tobacco leaves existed strong association degree with maturity, oil, and chroma in a condition of minimum support degree of 0.3 and minimum confidence of 0.5. Meanwhile, the index of color, structure and thickness played important roles for burnt-sweet tobacco leaf, but less than those of the other three indices. Therefore, it is suggested that management system should be established by controlling maturity, oil and chroma during agricultural production and industrial management.