Leaf Disease Detection and Classification based on Machine Learning

Abstract

Detection of diseases in plants is a significant task that has to be done in agriculture. This is something on which the economy profoundly depends. Infection discovery in plants is a significant job in the agribusiness field, as having diseases in plants is very common. To recognize the diseases in leaves, a continuous observation of the plants is required. This observation or continuous monitoring of the plants takes a lot of human effort and it is time-consuming too. To make it simply some sort of programmed strategy is required to observe the plants. Program based identification of diseases in plants makes easier to detect the damaged leaves and reduces human efforts and time-saving. The proposed algorithm distinguishing sickness in plants and classify them more accurately as compared to existing techniques.