Abstract: Because it is one of the most common sources of sustenance, agriculture is essential to the farming sector. To address the new challenges facing farmers and their training objectives, technological methods have recently emerged for identifying plants and, consequently, detecting their diseases. The plants must be well-grown and safeguarded from pests and diseases for increased crop output. Because it requires a while and requires a lot of labour, manual disease diagnosis is rarely an option for large-scale farmers. Machine learning is frequently used to identify diseases quickly. We can identify conditions impacting the leaf, stem, root, and fruits using machine learning techniques. Images taken with a mobile device’s camera are edited using image processing software. Half of the population with the illness has traits that can be retrieved and identified using machine learning techniques like convolutional neural networks (CNN).