Survey Paper on Plant Leaf Diseases Detection Techniques used in Machine Learning

In this survey paper, we point out a comparative study on different types of plant leaf diseases and all the techniques of machine learning which had been used to detect plant leaf disease. This was accomplished for two principle reasons: to restrain the length of the paper and in light of the fact that techniques managing roots, seeds and natural products have a few idiosyncrasies that would warrant a particular study. The chose proposition are isolated into three classes as indicated by their goal: recognition, seriousness measurement, and characterization. Every one of those classes, thus, are subdivided by the primary specialized arrangement utilized in the calculation. This paper is required to be helpful to specialists working both on vegetable pathology and example acknowledgment, giving a thorough and open outline of this significant field of research.