Automatic recognition of cucumber downy mildew based on color and shape feature
In this paper, automatic identification of cucumber downy mildew was conducted using computer image processing. The digital image of the cucumber downy-mildew was collected, and then treated with gray processing, binary processing, smoothing processing and edge detection processing. Characteristic parameters were extracted from the two aspects of shape and color of the lesion, and then k-nearest neighbor method was used for classification and identification. The recognition rate was up to 95%.