Farmers have difficulty identifying, detecting, and treating plant diseases and their causes. Fruits are more
susceptible to disease depending on the season and environmental conditions in which they grow during cultivation. The
traditional method of predicting disease in fruits and plants is extremely difficult. Using the proposed model, a large
dataset of different types of fruits and their diseases can be created, with a large number of images stored in different
folders for processing the data set.
