Agriculture science is the study about the agriculture and it plays a primary role in all living things. The major issues of farmers are Water Management, climate change and protecting plants from disease. This paper focused about different types of plant leaf disease. Plants can be affected by microorganism like fungi, viral etc that can cause disease and damage the parts of the plants. By processing the damaged images we can collect information about the disease and we can take steps to rectify the crop from dropping. Techniques such as HSV color space, GLCM used for feature extraction. Classification technique plays a major role and there are many classification algorithms such as KNN, Genetic algorithm, fuzzy logic and SVM etc. Selecting suitable algorithm is hard since every algorithm has its one advantage and disadvantages. This paper provides a general idea about how segmentation and classification algorithm used to predict the crop disease with the help of digital images. © 2017, Institute of Advanced Scientific Research, Inc. All rights reserved.