Agriculture supports living beings and nature in many ways, such as food and habitat. All humans as well as animals depend on the agriculture sector for their basic needs of food and nutrients. Thus, the importance of agriculture and the ways it can be improved further should be taken into account. While discussing agriculture, the topic of related diseases is not far behind. Crop disease is the most common threat that falls upon agricultural harvest. To address the issue at hand, firstly, farmers must figure out the situation on time. Then only the chance of saving the crops exists. We are aware of how the various types of diseases affect the yield badly and in turn affect the quantity. In this paper, we will detect such diseases and identify them. We will use image processing, Machine Learning Algorithms, and sample datasets to get the resulting detection.