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Crop Disease Detection

Our Crop Disease Detection service uses state-of-the-art computer vision models to identify plant diseases from images. Built on YOLOv8 architecture and 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.

Crop Disease Detection

Tech Stack

AI/ML
YOLOv8PyTorchOpenCV
Backend
FastAPIPython
DevOps
Docker

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

Try It Live

Crop Disease Detection Demo

Upload an image of a crop leaf to analyze for diseases

Drag and drop an image here, or click to select

Supported formats: JPG, PNG, WebP (max 10MB)

YOLOv8Computer VisionFastAPIPyTorch