  With increasing population the crisis of food is getting bigger day by day.In
this time of crisis,the leaf disease of crops is the biggest problem in the
food industry.In this paper, we have addressed that problem and proposed an
efficient method to detect leaf disease.Leaf diseases can be detected from
sample images of the leaf with the help of image processing and
segmentation.Using k-means clustering and Otsu's method the faulty region in a
leaf is detected which helps to determine proper course of action to be
taken.Further the ratio of normal and faulty region if calculated would be able
to predict if the leaf can be cured at all.
