BAYESIAN NETWORK AND ITS APPLICATION IN MAIZE DISEASES DIAGNOSIS

机译：贝叶斯网络及其在玉米疾病诊断中的应用

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Bayesian network is a powerful tool to represent and deal with uncertain knowledge. This paper mainly introduces some technologies and methods of modeling Bayesian network, which are used in the building Maize Diseases Diagnosis system. In the construction of Bayesian network, noisy-or model and transformation from certainty factor to probability are used. Then maize disease diagnosis system based on BN is built by Netica (a BN software package). The practice proves that BN is an effective tool for maize disease diagnosis.

机译：贝叶斯网络是表示和处理不确定知识的强大工具。本文主要介绍一些用于建立玉米疾病诊断系统的贝叶斯网络建模技术和方法。在贝叶斯网络的构建中，使用了噪声或模型以及从确定性因子到概率的转换。然后通过Netica（BN软件包）构建基于BN的玉米病害诊断系统。实践证明，BN是诊断玉米疾病的有效工具。

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来源
《IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN)》|2007年|P.917924|共2页
会议地点 Wuyishan(CN)
作者
Guifen Chen; Helong Yu;
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作者单位

Computer Science and Technology Institute, Jilin University, ChangChun 130021, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电子技术、计算机技术在农业上的应用;
关键词
bayesian network; maize; disease; diagnosis;

机译：贝叶斯网络玉米疾病诊断;

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BAYESIAN NETWORK AND ITS APPLICATION IN MAIZE DISEASES DIAGNOSIS

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