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What is Rice Disease Detection Using Machine Learning about?

This document summarizes a research paper that developed a system for detecting and classifying rice plant diseases from images. It considers three common diseases: bacterial leaf blight, brown spot, and leaf smut. The system first removes the background from images and uses K-means clustering for segmentation. It then extracts features related to color, shape and texture and classifies the diseases using support vector machines. The system achieved 93.33% accuracy on the training set and 73.33% on the test

Author

stefan

Language

EN