Agricultural productivity is something on which Indian economy highly depends.
This is the one of the reasons that disease detection in plants plays a vital role in agriculture
field, as having disease in plants are unavoidable. If proper care is not taken in this area, then it
causes serious effects on plants and due to which the overall agriculture yield will be affected.
For instance, a disease named little leaf disease is a hazardous disease found in pine trees in
United States. Detection of plant disease through some automatic technique is beneficial as it
reduces a large work of monitoring in big farms of crops, and at very early stage itself if
detected properly by identifying the symptoms of diseases can result in increased productivity.
This paper presents an algorithm for image segmentation technique which is used for
automatic detection and classification of plant leaf diseases. It also covers diseases
classification techniques that can be used for plant leaf disease detection. Image segmentation
is one of the method which will segment the raw images in to two or more clusters and the
programmed algorithm will work fine in analyzing these clusters for disease classification and
prediction of type of disease that a plant leaf gets affecte
