A full-stack web application that uses deep learning to detect and classify plant diseases from leaf images. Built with Next.js, React, TailwindCSS on the frontend and Flask, TensorFlow on the backend ...

Abstract: Agricultural productivity is helpless against various diseases that result in significant losses in terms of resources. These losses rise rapidly in isolated locations with limited resources ...

Introduction: Soybean mosaic virus (SMV) is one of the major pathogens affecting global soybean yield and quality, and its early and accurate detection is essential for disease warning and precision ...

Introduction: Jackfruit cultivation is highly affected by leaf diseases that reduce yield, fruit quality, and farmer income. Early diagnosis remains challenging due to the limitations of manual ...

Abstract: A complete method for finding diseases on plant leaves is described in this study. It uses advanced deep learning techniques, especially transfer learning and ensemble models. The study uses ...

A Flask backend for plant disease detection using pre-trained Keras models (best_custom_cnn_model.h5, plant_disease_resnet50_model.h5) with an image preprocessing pipeline (preprocess.py) and app.py ...