数据挖掘技术在烟草行业中的应用

Application of Data Mining Technology in Tobacco Industry

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。

As an emerging knowledge discovery technology, data mining technology has been widely used in business, logistics, finance and other industries. This paper introduces the application of data mining technology in tobacco agriculture involving the evaluation of tobacco soil quality and precise fertilization, tobacco species selection, the forecast of tobacco diseases and pests and natural disasters, and the estimation of tobacco yield and tobacco leaf grading. 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 are 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.