Recognition of Cucumber Leaf Powdery Mildew Based on Machine Vision

doi:10.11924/j.issn.1000-6850.casb16090110

Abstract

Abstract: The determination of the degree of cucumber leaf powdery mildew is of great significance for taking measure to protect the disease. In the study, leaf scab was identified effectively by the machine vision technology, as characteristic parameters, white spot area ratio, average white spot area and white spot coverage were presented based on the scale and area distribution of the scab. The level of leaf disease was quantitative analyzed with the three of characteristic parameters, and the pattern classification of leaf powdery mildew situation was accomplished by the artificial neural network. The correct recognition rate of the four classes white spot leaf was 88%, 91%, 92%, 94%, respectively.

CLC Number:

TP391.41

Zhang Peng,Zhu Yuqiang,Wang Lili and Zhou Shengjun. Recognition of Cucumber Leaf Powdery Mildew Based on Machine Vision[J]. Chinese Agricultural Science Bulletin, 2017, 33(21): 134-137.

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