Compared with the renderings of several other commonly used methods of segmentation, this method can better separate the lesions from the leaves. The final spot segmentation image is obtained. Based on traditional threshold segmentation, the preprocessing process first uses the HSI color space to filter the information of the normal area of the leaf, adopts OTSU to set the threshold to segment the original image under the Lab color space, and then merges the segmented images. The method is divided into image pretreatment and disease identification.

In this paper, a recognition method based on deep learning is proposed based on soybean brown spot. Crop disease control is an important part of agricultural production, and the use of computer vision technology to quickly and accurately identify crop diseases is an important means of ensuring a good harvest of agricultural products and promoting agricultural modernization. With the continuous integration of computer technology into agricultural production, it also reduces personnel costs while improving agricultural production efficiency and quality.

P dirt 3 image