PADDY LEAF DISEASE DETECTION USING SVM CLASSIFIER
Keywords:
Rice Blast, SVM Classifier, Paddy BlastAbstract
Disease damage to rice can greatly reduce yield, rice assessing the health condition of rice plant through its leaves .In this paper an automated rice leaf disease detection using image processing techniques is proposed here. An image segmentation and feature extraction technique is used for analysis the disease. Paddy blast and brown spot disease mainly analyzed here. Shape and colour features are extracted using SIFT .After the feature extraction SVM classifier analysis the results. (The overall accuracy of the system should improve for 95.00 percentages).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 International Journal of communication and computer Technologies
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.