Insects and other organisms that feed on plants and crops can have a negative effect on a nation's overall agricultural output. In most cases, farmers or other specialists will keep a constant check on the plants in order to detect and diagnose any infections that may be present. Nevertheless, this method typically requires a significant amount of time, monetary investment, and lack of precision. A spot on the leaves of a diseased plant can be examined to determine whether or not the plant is afflicted with a disease. The objective of this study is to develop a Disease Recognition Model that makes use of leaf image categorization as its primary data source. Image processing combined with a convolution neural network (CNN) is what we're employing in our efforts to identify plant illnesses. Image recognition makes use of a type of artificial neural network known as a convolutional neural network (often abbreviated as CNN). This type of network was developed expressly for the purpose of processing pixel input.