Plant Leaf Disease Detection using Computer Vision and Machine Learning Algorithms

Plant Leaf Disease Detection using Computer Vision and Machine Learning Algorithms

The model uses computer vision techniques

The machine learning approaches such as SVM, K-NN and CNN are used to distinguish diseased or non-diseased leaf.

To extract the informative features of the leaf samples, multiple descriptors Discrete Wavelet Transform, Principal Component Analysis and GLCM are used Well suited for CNN machine learning classification technique This example Script shows 1) k-means clustering algorithm 2) Contour Tracing 3) Texture Analysis Using Gray-Level Co-Occurrence Matrix 4) CNN Classifier

Click here to download the Matlab File:

https://drive.google.com/drive/folders/1uSQZ-BDPqGbtqbj033b7cPzIM_TT_6dm?usp=sharing