Experience ForestAI Technology
Explore our AI-powered forest analysis capabilities through interactive demos and see how our technology detects seedling stress before it becomes visible.
Production Platform
Currently Active
Our full production platform is currently deployed and processing real drone imagery for Auburn University. This system includes hyperspectral analysis, seedling detection, and stress classification capabilities.
Interactive Research Demo
Public Access
Experience our tree detection and analysis algorithms through this interactive research prototype. Upload your own forestry images and see our AI in action.
Technology Capabilities
Our AI platform combines multiple advanced technologies to provide comprehensive forestry analysis.
Individual Tree Detection
Advanced computer vision algorithms identify and segment individual trees and seedlings from drone imagery with high precision.
- • Seedling counting and mapping
- • Species classification
- • Growth stage assessment
Stress Detection
Hyperspectral analysis detects stress signatures in seedlings 7-10 days before visual symptoms appear.
- • Drought stress identification
- • Disease detection
- • Pest damage assessment
Analysis Reports
Comprehensive reports with visualizations, maps, and actionable insights for forest management decisions.
- • Interactive dashboards
- • Trend analysis
- • Intervention recommendations
Technical Specifications
Built on cutting-edge AI and cloud infrastructure for scalable forest management.
Deep Learning Models
- Hyperspectral CNN architectures
- >90% accuracy in testing
- Real-time inference
Cloud Infrastructure
- Scalable processing pipeline
- Automated data workflows
- Secure data storage
Data Processing
- DJI M3 drone compatibility
- Hyperspectral analysis
- Automated reporting
Ready to Transform Your Forest Management?
Contact us to learn how ForestAI can help prevent seedling losses and optimize your reforestation efforts.