Development of a Single-leaf Disease Severity Automatic Grading System Based on Image Processing
In order to realize accurately calculating and automatically grading of plant disease severity, a single-leaf disease severity automatic grading system based on image processing was developed by using MATLAB GUIDE platform in this study. Using this system, the single-leaf disease severity could be automatically assessed and graded via image development technology including segmentation processing of plant disease images and related data mining. Structural diagram of the system, algorithms used in the system and realization of the system functions were described in this paper. The problems in the current system were discussed and further research on this subject was suggested. The usefulness and adaptability of the system was evaluated using the images of grape downy mildew caused by Plasmopara viticola. The results showed that the effectiveness was favorable with high accuracy.
plant disease severity automatic grading image processing computer aided system
Guanlin Li Zhanhong Ma Haiguang Wang
Department of Plant Pathology, China Agricultural University, Beijing 100193, China
国际会议
海口
英文
539-563
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）