AI-Powered Early Seedling Stress Detection
Revolutionary hyperspectral imaging and deep learning technology that detects seedling stress 7-10 days before visual symptoms appear, preventing $150M annual losses in the forestry industry.
Early Detection
Detect stress 7-10 days before visible symptoms with >90% accuracy
Drone Integration
Hyperspectral drone imaging with cloud-based AI processing
Proven Results
Active deployment with Auburn University research partnership
Live Platform Dashboard
Real-time seedling health monitoring
Currently Operating
Active contract with Auburn University - Processing real drone imagery data and delivering analysis reports through our cloud-based platform
Advanced Analytics
Everything you need for forest analysis
Our platform combines drone imagery with artificial intelligence to provide comprehensive forest insights.
- Advanced Tree Detection
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Automatically identify and count trees from drone imagery using state-of-the-art AI models.
- Health Analysis
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Monitor forest health through spectral analysis and early disease detection.
- Growth Tracking
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Track forest growth over time with precise measurements and change detection.
- Species Classification
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Identify tree species using AI-powered image recognition.
- Environmental Impact
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Calculate carbon sequestration and biodiversity metrics.
- Report Generation
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Generate detailed reports with insights and recommendations.