Leaf Diseases Detection
Keywords:
Leaf diseases, Image pre-processing, Image segmentation, Segmentation.Abstract
The aim of this project is to vogue, implement and decide an image method code based resolution for
automatic detection and classification of disease. however studies show that wishing on pure naked-eye observation of
consultants to look at and classify diseases is also time intense and expensive, significantly in rural areas and developing
countries. therefore we have a tendency to tend to gift fast, automatic, inexpensive and proper image method based
resolution. Resolution consists of four main sections; inside the first part we have a tendency to tend to provide a color
transformation structure for the RGB leaf image then, we have a tendency to tend to use color space transformation for
the colour transformation structure. Next, inside the second section, the pictures are segmental pattern the K-means
clump technique. inside the third section, we have a tendency to tend to calculate the texture choices for the segmental
infected objects. Finally, inside the fourth section the extracted choices are knowledgeable a pre-trained neural network.
