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Data mining techniques to tune in the northern corn cultivation System Research

Author: ChengGang
Tutor: SiXiuLi
School: Jilin Agricultural University
Course: Applied Computer Technology
Keywords: Corn Production Data Mining Expert System Knowledge Representation Intelligent Decision
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 40
Quote: 0
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Abstract


Corn is one of the most important crops in recent years with the increase in production and acreage continues to expand, corn in Northeast China has now become a pillar industry of rural economic development , as China 's rapid economic development , people's corn demand is also growing. Data mining techniques, as a very important data processing and knowledge discovery technology that can effectively real data from a large number of corn repository and useful to find out the potential agriculture-related knowledge and data , in order to provide scientific decision-making related to the agricultural sector , provide technical support for the knowledge managers and technology platform to promote corn production efficiency and quality of high quality, so as to effectively promote our rural economy, efficient, coordinated and sustainable development. Therefore , we have established based on data mining technology in maize cultivation system tuning . The purpose of this study is a profound study on maize cultivation system based on the use of various data items and the relationships between the various indicators , through data mining techniques for effective research and prediction , the corn production process in a variety of new technologies ( including the authority of the expert knowledge , mature new scientific research , farmers farming experience and the mathematical model used to guide the production , etc. ) and data mining techniques combined with organic , it can easily answer corn how to achieve high quality, high aspect problems , fuzzy evaluation algorithm is the theoretical basis of this system . The system is in the pilot stage , has achieved some results. However, the entire system in the design process is also in the process of exploration , but also takes a long time observation and testing, continuous improvement in practice in order to obtain better results.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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