An automatic grading method of severity of single leaf infected with grape downy mildew based on image processing

To realize accurately calculating and automatically grading of disease severity,a kind of automatic grading method of severity of single leaf infected with grape downy mildew based on image processing was proposed.In processing the completed vertical-projected images of leaf disease,leaf area and diseased area were segmented out automatically and accurately using K_means clustering(HCM) algorithm.The area features of leaf area and that of diseased area were extracted using pixels statistic.And then the assessed severity of a single leaf was obtained by calculating area ratio between diseased area and leaf area.The results show that the proposed method can assess the disease severity accurately with accuracy of 93.33%.