Application of Artificial Intelligence in Image Segmentation of Crop Leaf Diseases
WANG Congsheng
QIU Xiurong
Abstract：With the rapid development of precision agriculture and intelligent agriculture,the application of image segmentation technology in the identification of wheat and maize leaf diseases is becoming more and more important.In order to realize the effective segmentation and efficient analysis of wheat and corn leaf disease spot images,based on the deep learning models DeepLabv3+and U-Net,the wheat and corn leaf disease image was segmented,and the leaf disease spot was segmented and quantitatively evaluated.The results showed that the two models could accurately segment the leaf area and the background area.The contour generated by the U-Net model was clearer and more complete,but there were still problems such as insufficient segmentation and segmentation adhesion.It is of great significance for the accurate diagnosis and prevention of wheat and maize leaf diseases to further optimize the image segmentation technology,improve the accuracy of leaf lesion image segmentation,and further study the application of image segmentation technology in agricultural production.
Keywords：WheatMaizeImage segmentationLeaf diseaseArtificial intelligence
Publication Date：2025-04-10
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：5( 76-80 )