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The Application Study Of Datamining According To The Data Of Sugar Cane

Posted on:2006-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:F ZhangFull Text:PDF
GTID:2178360212960657Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Sugar cane which used to mill sugar is quite specially: One, the sugar cane is different with rice, wheat, and other crops, the harvest object is the sugar in plant, less intuitionistic, and it must be in virtue of the examination and judgment maturity. Without the dormancy phenomenon, the sugar will be consumed quickly after harvest, sugar cane cannot be stored long time. The sugar cane appears the sugar to reduce by the plant consumption phenomenon, after the maximum. The mature sugar cane must be harvested as soon as possible. Two, the sugar cane production is the union of industry and agricultural, the economic cause restricts the productivity of sugar enterprise, this require the sugar cane to be harvested with a long time. For the variety difference, it is necessary to optimize harvest. At the same time, two unions enable the industry to display more positive roles, not only the enterprise support planters with fund and technic, but also the sugar enterprise' sugar data of shopping which contain the massive information of the agricultural production. Through the data mining, a lot of useful knowledge can be feedback to the agricultural production, particularly in optimizing harvests.The data mining work is withdraws the latent interesting knowledge and information from the mass data for the peoples. Sugar enterprise's system of set prices according to quality has produced massively shopping sugar data; this has provided the condition for the data mining. This article according to the actual situation of sugar data, to introduce in the data mining three basic tasks: the data analysis of exploring, the forecast modeling, and cluster analysis.In the sugar data visible exploration, it had discovered the management weary phenomenon, produces the description of the management weary phenomenon and the corresponding countermeasure. With the visible data exploration, it has discovered optimized method between various varieties: comparing with the present method to harvest the sugar cane of sugar highest, to harvest the varieties that have small potential increase, this will be possible to achieve the most superior in overall...
Keywords/Search Tags:Sugar cane, Data mining, Sugar accumulation model, Cluster analysis
PDF Full Text Request
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