Abstract
Agriculture has a significant effect on our lives. Agriculture is the primary economic sector in our country. Appropriate management results in a profit when it comes to agricultural goods. Farmers lack knowledge in leaf disease, resulting in decreased productivity. Detecting plant leaf diseases is critical since profit and loss are directly related to productivity. CNN is the answer for detecting and classifying leaf diseases. The primary objective of this research is to identify leaf diseases in apple, grape, maize, potato, and tomato plants. Plant leaf illnesses are monitored throughout broad fields of crops for disease detection, and therefore automatically detect certain characteristics of diseases for which medical treatment is available. Detection of plant leaf disease has a wide range of applications in a variety of sectors, including biological research and agriculture institutes. Plant leaf disease detection is a critical area of research because it has the potential to benef