Phragmites Detection Platform Launch

We are pleased to announce the official launch of our AI-powered Phragmites Detection Platform, developed as part of the “Advancing Automation in the Detection and Surveillance of Phragmites via Integrated Machine Vision in Remote Sensing” project.

This platform integrates advanced machine vision, deep learning models, and drone imagery processing to support the detection, validation, and mapping of Phragmites australis, an invasive plant species affecting wetland ecosystems.

The system provides users with an intuitive web-based interface for uploading drone images, running automated detection models, reviewing results, validating detected areas, and generating geospatial outputs for further analysis and mapping.

Key features of the platform include:

- Automated detection using trained deep learning models
- Adjustable confidence thresholds
- Interactive result review and validation tools
- Geolocation-based mapping outputs
- Cloud-based file management and processing
- User-friendly dashboard for non-technical users

This launch marks an important step in the evolution of this project. We are actively working on the next development phases and upcoming enhancements. Users and partners are encouraged to stay tuned for new features, improved models, and expanded capabilities in future releases.

For more details, please refer to the project description.

References

Fleming College Applied Research linkedin post on its collaboration with Saiwa for Phragmites detection.