The Intelligent Diagnostic System of Vegetable Diseases Based on a Fuzzy Neural Network

Qing Feng Wei; Chang Shou Luo; Cheng Zhong Cao; Qiang Guo

doi:10.4028/www.scientific.net/AMM.321-324.1907

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324The Intelligent Diagnostic System of Vegetable...

The Intelligent Diagnostic System of Vegetable Diseases Based on a Fuzzy Neural Network

Abstract:

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.