Enhancing Plant Leaf Disease Classification Performance Through EfficientNetB3 and Hyperparameter Optimization

Plant diseases pose a significant risk to global food supply and finances. This research paper develops a system using EfficientNet-B3 to classify plant leaf diseases. The PlantVillage dataset, with 54,303 curated images, is utilized. The model accurately identifies plant leaf diseases, with extensive testing and comparisons. A user-friendly web platform allows convenient submission and classification of plant leaf photos, providing prompt and reliable results for disease identification. The research has implications for revolutionizing plant disease detection and control strategies. By utilizing deep learning and EfficientNet-B3, this system offers an effective method for early disease detection, enhancing agricultural practices, and improving global food security.