Agriculture is India’s backbone, and it helps to expand the country’s economic system. Plant disease identification is an important aspect of agriculture. Plant diseases have an impact on quality, quantity, and productivity. The most important exercise for increasing production is plant disease predictions. In this research study, the author presents a comparative examination of many types of plant leaf disease as well as all of the research approaches related to plant leaf disease. This was done in the past for two reasons: To keep the paper’s size down, and because there are a few quirks in the procedures for dealing with seeds, roots, and herbal items that would demand a separate investigation. As stated by their purpose, the selected proposition is divided into three instructions: recognition, seriousness measurement, and characterization. As a result, each of these groups is segmented using the primary specialized association used in the calculation. By giving a complete and open definition of this broad topic, this study hopes to assist experts in both vegetable diseases and case recognition. The object of work will be a valuable resource for researchers looking to identify specific types of plant diseases using data-driven methodologies. The development of mobile-based applications based on the investigated ML/DL techniques will undoubtedly improve crop production.