An early detection of fruit diseases can aid in decreasing such losses and can stop further spread of diseases. Our experimental results express that the proposed solution can significantly support accurate detection and automatic classification of fruit diseases. The image processing based proposed approach is composed of the following steps in the first step K-Means clustering technique is used for the image segmentation, in the second step some features are extracted from the segmented image, and finally images are classified into one of the classes by using a Support Vector Machine. In this project, a solution for the detection and classification of fruit diseases is proposed and experimentally validated. Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |