›› 2012, Vol. 14 ›› Issue (6): 84-90.DOI: 10.3969/j.issn.10080864.2012.14.

• 数字农业 农机装备 • 上一篇    下一篇

数据挖掘技术在烟草行业中的应用

田临卿,许自成*   

  1. 河南农业大学烟草学院, 郑州 450002
  • 收稿日期:2012-06-04 修回日期:2012-06-21 出版日期:2012-12-15 发布日期:2012-11-15
  • 通讯作者: *通讯作者:许自成,教授,博士,主要从事烟草品质生态与质量评价研究。Email:zcxu@sohu.com
  • 作者简介:田临卿|硕士研究生|主要从事烟草生态与质量评价研究。Email:tlq2532@163.com。*通讯作者:许自成|教授|博士|主要从事烟草品质生态与质量评价研究。Email:zcxu@sohu.com
  • 基金资助:

    中国烟草总公司科技攻关重大专项(Ts-02-20110018)资助。

Application of Data Mining Technology in Tobacco Industry

TIAN Linqing, XU Zicheng*   

  1. Tobacco Science College, Henan Agriculture University, Zhengzhou 450002, China
  • Received:2012-06-04 Revised:2012-06-21 Online:2012-12-15 Published:2012-11-15

摘要:

数据挖掘技术作为一种新兴的知识发现技术,已经在商业、物流、金融业等行业有了广泛的应用。介绍了数据挖掘在植烟土壤评价及精准施肥、烟草品种选育、烟田病虫害与自然灾害预测、烟叶采收估产、烟叶分级等烟草农业生产中的应用;以及在卷烟成品仓储管理系统、卷烟物流配送、卷烟营销、卷烟原料感官质量评价等烟草工业管理中的应用,并对其应用前景进行了展望,以推动其在烟草行业中的应用,提升烟草企业市场竞争力。

关键词: 数据挖掘;统计;烟草;分析

Abstract:

As a emerging knowledge discovery technology, data mining technology has been widely used in commercial, logistics, finance and other industries. This paper introduces the application of data mining technology in tobacco agriculture, which involved in the evaluation of tobacco soil quality and precise fertilization, tobacco species selection, and forecast of tobacco diseases and pests and natural disasters, while the estimation of tobacco yield and tobacco leaf grading were also included. Moreover, the practice of data mining in cigarette warehouse management, cigarette logistics distribution, cigarette marketing and cigarette sensory quality evaluation of raw materials in tobacco industrial management were also described. The paper also prospects the future for applying data mining technology, so as to promote its applications in tobacco industry, and enhance the competitiveness of tobacco enterprises in the market.

Key words: data mining, statistic, tobacco, analysis

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