AI-Driven Crop Disease Detection App
AI-Driven Crop Disease Detection App Problem Statement: Crop diseases significantly impact agricultural productivity. Early detection and effective management are crucial to preventing yield losses. However, farmers often lack timely information about crop health. Solution: Develop an intuitive mobile app that uses AI to detect crop diseases based on user-submitted images. The app provides real-time recommendations for disease management Key Features: 1.Image capture and upload: Users can capture or upload images of crop leaves or plants directly within the app. 2. EfficientNet Model: 1. Utilize the EfficientNet deep learning model for disease classification. 2. Fine-tune the model using a labeled dataset of healthy and diseased crop images. 3.Real-Time Inference: When a user submits an image, process it through the model. Determine whether the crop is healthy or diseased. 4.Disease ...