Crop diseases have become risk to food security. If proper care is not taken of the diseases, then it may result in the reduction of quality and quantity of the crop. Our project revolves around three objectives: To develop a solution which predicts the type of the crop disease based on textural similarity of leaves. Showing the usage of Transfer learning. Designing a dedicated model with high accuracy.