A Deep Learning-Based Approach in Classification and Validation of Tomato Leaf Disease

Deep learning models are playing a vital role in classification goals that can have propitious results. In the past few years, many being used for this purpose of plant disease classification. This work has assisted process identification and leaf disease. paper, Tomato images taken from PlantVillage Database consisting one healthy eight classes. The classes selected based on occurrence India. deep AlexNet, VGG16, GoogLeNet, MobileNetv2, SqueezeNet as or diseased further which class it belongs to. here all pre-trained models, so transfer is to fit total number need be classified by network model. VGG16 model outperformed giving 99.17% accuracy compared SqueezeNet. concludes with model’s validation results set captured at Krishi Vigyan Kendra Narayangaon (KVKN),