Plants are considered important due to their role in the human energy supply. Disease has the potential to have a huge impact on the amount of yield a plant can produce, resulting in enormous losses in revenue for the market. Prevention is important for agriculture since the timely discovery of disease is essential for protecting crops. To control plant diseases, extensive study is required, and hence time and talent are needed to handle this problem. To study trends in illness in plants, deep learning is being applied. An example of this is identifying plants based on the overall shape, size, height, and width. A deep learning model was proposed and compared with other classification model in this research for the purpose of identifying and diagnosing apple plant leaf disease. Biotic diseases such as fungal and bacterial infections were studied here. This model shows excellent performance, achieving up to 98.1% classification accuracy.