| 基于贝叶斯分类的农作物产品质量挖掘研究 |
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| 引用本文： | 陈晨,董倩,吴玉洁.基于贝叶斯分类的农作物产品质量挖掘研究[J].安徽农业科学,2011,39(12):7448-7449. |
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| 作者姓名： | 陈晨 董倩 吴玉洁 |
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| 作者单位： | 河北农业大学信息科学与技术学院,河北保定,071001 |
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| 基金项目： | 河北省自然科学基金项目，河北省科学技术厅计划资助项目，河北省教育厅计划资助项目 |
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| 摘 要： | 采用贝叶斯算法的基本原理,并结合农作物生长环境数据的特点,分析和预测了农作物的产品质量。采用随机选取的样本组进行试验预测,预测准确率高,表明该算法是有效的。
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| 关 键 词： | 数据挖掘 贝叶斯分类 农业应用 |
Agricultural Product Quality Mining based on Bayesian Classification |
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| CHEN Chen et al.Agricultural Product Quality Mining based on Bayesian Classification[J].Journal of Anhui Agricultural Sciences,2011,39(12):7448-7449. |
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| Authors: | CHEN Chen |
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| Institution: | CHEN Chen et al(College of Information Science and Technology,Agricultural University of Hebei,Baoding,Hebei 071001) |
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| Abstract: | Combined with the characteristics of crop growth and environmental data and the basic principle of Bayesian algorithm,the crop product quality is analyzed and forecasted in this study.Test with a randomly selected sample group ensures high forecasting accuracy,which shows that the algorithm is effective. |
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| Keywords: | Data mining Bayesian classification Agricultural applications |
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