To identify plant diseases through a machine learning approach which is having an important impact on the high standard and fertility of plants. Digital image processing can be implemented to point out plant diseases. In current years, machine learning has a great impact on techniques for processing digital images through digital image processing. The identification of plant diseases using machine learning technology is currently the main focus of research. The challenges of recognising plant diseases are discussed in this paper, along with a comparison to current methods. The most recent research on classification networks, detection networks, and segmentation networks for, in this article, plant diseases are discussed. The advantages and disadvantages of each strategy are examined in light of the variations in network structure. We show common datasets and analyse the efficacy of recent investigations. This helps in detecting plant diseases very effectively and efficiently in a short span of time.