Plant Disease Classification

A Matlab code to classify the type of disease using SVM
5,1K download
Aggiornato 26 gen 2016

Visualizza la licenza

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

Cita come

Manu BN (2025). Plant Disease Classification (https://www.mathworks.com/matlabcentral/fileexchange/50624-plant-disease-classification), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2013a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Statistics and Machine Learning Toolbox in Help Center e MATLAB Answers

Community Treasure Hunt

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

Start Hunting!

Disease Analysis/

Versione Pubblicato Note della release
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