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Crop Disease Detection
AI-powered image recognition for detecting plant diseases using deep learning models
Overview
Our Crop Disease Detection service uses state-of-the-art computer vision models to identify plant diseases from images. Trained on thousands of Vietnamese agricultural images, the system can detect common diseases in rice, vegetables, and fruit crops with high accuracy. The service provides real-time analysis through a REST API, making it easy to integrate into mobile apps and web platforms.
Interactive demo
Computer vision
Leaf disease detection
Pick a real leaf photo to see the diagnosis, confidence and treatment.
Sample photos
Samples are real leaf photos with diagnoses verified against each image. Uploads are only analysed when the site is connected to a live detection service.
Key features
Real-time disease detection from images
Support for multiple crop types
High accuracy (>90%) on Vietnamese crops
REST API for easy integration
Treatment recommendations
Tech stack
YOLOv8 · aiPyTorch · aiFastAPI · backendOpenCV · aiPython · backendDocker · devops