A Cloud-Enabled Deep Learning Framework for AI Driven Plant Disease Detection

Timely diagnosis of plant disease is important in avoiding declines in crops and ensuring food security. To facilitate real-time detection of plant diseases, we present a cloud-based mobile diagnostic system through deep learning (DL) techniques. It allows users to click or upload plant leaf images via a specific smartphone app. The system adopts a hybrid CNN-VGG16 strategy, with protected image transmission via Ngrok to the cloud server and delivers a 99.54% accuracy in the classification of plant diseases, thus outperforming the conventional models of CNN+LSTM (95.3%), LSTM (80.6%), and Logistic Regression (75.1%).