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C. H. Bock, P. E. Parker, A. Z. Cook，T. R. Gottwald. plant diseaseAutomated Image Analysis of the Severity of Foliar Citrus Canker Symptoms. The American Phytopathological Society, 2009.

has been cited by the following article:

• TITLE: Recognition of Greenhouse Cucumber Disease Based on Image Processing Technology

  AUTHORS: Dong Pixia, Wang Xiangdong

  KEYWORDS: Image Processing Cucumber Diseases Shape Features Color Features GLCM

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.3 No.1B, January 22, 2013

  ABSTRACT: This paper mainly studies the disease of cucumber downy mildew, powdery mildew and anthracnose leaf image processing and recognition technologies. Application of median filtering method of filtering noise, leaf spot disease of cucumber leaf color range segmentation part extract color feature parameters of the lesion site, characteristic parameters of the shape; extraction texture parameters by using gray level co-occurrence matrix. Based on the shortest distance methods to identify diseases of images. The experimental result showed that the current method on disease recognition accuracy rates more than 96%.