Leveraging Transfer Learning for Enhanced Plant Leaf Disease Detection

Agriculture is a major sector on which the Indian economy depends. However, the varying weather conditions cause many plant diseases, which can impact the overall produce and thereby affects the Indian economy. Among many plant diseases, tomato leaf diseases are a common issue that affects tomato plants. These diseases can cause problems like spots, discoloration, wilting, and deformities on the leaves of tomato plants. This study used pictures of tomato leaves showing six diseases and healthy leaves. The dataset contained pictures of plant leaves showing diseases like early blight, late blight, bacterial spots, etc. The pictures were fed into a deep learning-based model, ResNet152V2, for the detection of diseases. The test results revealed the overall detection accuracy of 96.5%.