Rice Disease Detection by Image Analysis

Abstract

This paper provides a method for automatically classifying diseases in rice plants by analyzing photographs of rice leaves. The method uses image processing algorithms to detect leaves and likely disease-induced lesions in the leaves. Next, several attributes are computed based on the dimensions of leaves and lesions, the numbers and shapes of lesions, as well the color characteristics of lesions and intact portions of leaves. These attributes are used to build classification models using well established algorithms. The method is evaluated using a publicly available database of rice leaf images.

Topics & Concepts