Abstract:
Agriculture is the main backbone occupation for Indians. It is critical to diagnose plant illnesses early in order to avoid crop loss and disease spread. The disease is apparent on the leaves of most plants, including apple, tomato, cherry, and grapes. These observable patterns can be recognized in order to accurately forecast the disease and implement preventative measures early on. To overcome this, it's better to use two techniques one is machine learning and another one is deep learning. So, this paper proposes a system for identifying plant disease (tomato, corn, paddy, and cotton) from their leaf photos. The method is carried out using the machine learning technique that is Support Vector Machine and the deep learning technique called Convolutional Neural Network. After the algorithms have been trained on the dataset, the accuracy of the algorithms is compared, the photos are categorised, and preventions for unhealthy plants are proposed.
