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The intelligent diagnostic system of vegetable diseases based on a fuzzy neural network

文献类型： 外文期刊

作者： Wei, Qingfeng 1 ; Luo, Changshou 1 ; Cao, Chengzhong 1 ; Guo, Qiang 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Informat Sci & Technol Agr, Beijing 100097, Peoples R China

关键词： Fuzzy neural network;Vegetable diseases;Diagnostic model;Symptom;System

期刊名称：MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4

ISSN： 1660-9336

年卷期： 2013 年 321-324 卷

页码：

收录情况： SCI

摘要： To overcome the disadvantages that image analysis of agricultural disease diagnosis was not practical in the field, and the expert diagnosis system had an unsatisfied correct rate, a diagnostic model based on fuzzy rule and BP neural network (back propagation neural network) was constructed. The input vector in the model was formed by a unified description of symptoms using plant protection terms and combined with the membership. The intelligent diagnostic system of vegetable diseases based on the diagnostic model was developed by the mixed programming of Visual C # and Matlab. The test shows that the diagnostic correct rate of the system is 88.95%, and it has better fault tolerance and practical value.

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[1]MOBILE SMART DEVICE-BASED VEGETABLE DISEASE AND INSECT PEST RECOGNITION METHOD. Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng,Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng. 2013

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