Disease Identification in Potato Leaves Using a Multi-Tier Deep Learning Model

To prevent production loss, planning for and responding quickly to disease attacks on vegetable plants, such as potatoes, is essential. The leaves and stems of vegetable plants are typically the first to show signs of disease. Thanks to recent developments in deep learning algorithms, it is now possible to use leaf images for disease classification. The primary goal is to develop a deep learning-based system for forecasting and classifying crop leaf diseases. In this study, potato vegetable crops are examined. Both the training and testing data came from a publicly available source. The system was built and evaluated using Inception V3 of the convolutional neural network and the SGD, SVM, and Logistic regression classification algorithms. Therefore, the system's performance is expected to reach a new peak.