Plant Disease Classification

Versión 1.0.0.0 (263 KB) por Manu BN
A Matlab code to classify the type of disease using SVM
4,9K descargas
Actualizado 26 ene 2016

Ver licencia

A Matlab code is written to classify the type of disease affected leaf. Here I have considered two different types of diseases, i.e 'Anthranose' & 'Blackspot'. Segmentation of the disease affected area was performed by K means clustering. Over 13 different statistical and texture based features are extracted. Classification is done by SVM.
How to run??
1. Place the 'Disease Analysis' folder in your path
2. Run Classify.m
3. Select a leaf from the 'Disease Dataset' folder.
4. Observe the results of K means clustering.
5. In the dialogue box enter the cluster no containing the disease affected part. (1 or 2 or 3).
6. Observe the results on command window.
Note: This is a semi automatic approach for classification. Suggestion for improvement are always welcome.
A multiclass approach to the same is available in the following link:
https://in.mathworks.com/matlabcentral/fileexchange/55098-plant-leaf-disease-detection-and-classification-using-multiclass-svm-classifier
Thanks,
Manu B.N

Citar como

Manu BN (2024). Plant Disease Classification (https://www.mathworks.com/matlabcentral/fileexchange/50624-plant-disease-classification), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2013a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Disease Analysis/

Versión Publicado Notas de la versión
1.0.0.0

Links to a multiclass approach of the same are added

A multiclass approach to the same is available in the following link:
https://in.mathworks.com/matlabcentral/fileexchange/55098-plant-leaf-disease-detection-and-classification-using-multiclass-svm-classifier