Rice Leaf Diseases

Donated on 4/13/2019

There are three classes/diseases: Bacterial leaf blight, Brown spot, and Leaf smut, each having 40 images. The format of all images is jpg.

Dataset Characteristics


Subject Area

Computer Science

Associated Tasks


Feature Type


# Instances


# Features


Dataset Information

Additional Information

The dataset was created by manually separating infected leaves into different disease classes. We had consulted the farmers and had asked them to provide names of diseases for sample leaves. Farmers had provided names in their native languages (Gujarati) and we identified and verified English names of those diseases by consulting with experts of agriculture field. This dataset was used for Detection and Classification of Rice Plant Diseases. As part of the work, the following activities were carried out (1) How to extract various image features (2) which image processing operations can provide needed information (3) which image features can provide substantial input for classification. The survey work is available in IEEE conference paper: A Survey on Detection and Classification of Rice Plant Diseases, available at https://ieeexplore.ieee.org/document/7567333. A classification model was developed using SVM. The detailed information is available in the published journal article:Detection and classification of rice plant diseases, in Intelligent Decision Technologies, IOS Press, available at https://content.iospress.com/articles/intelligent-decision-technologies/idt301

Has Missing Values?


Introductory Paper

Detection and classification of rice plant diseases

By H. Prajapati, Jitesh P. Shah, V. Dabhi. 2018

Published in International Journal of Intelligent Decision Technologies

Variable Information

Image Format: .jpg, The images were captured with a white background, in direct sunlight. The images were reduced to the desired resolution for processing.


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1 citations


Jitesh Shah

Harshadkumar Prajapati

Vipul Dabhi


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