AgriLens™
An integrated precision agriculture platform combining satellite imagery analysis, machine learning, and explainable AI for data-driven farm management and decision intelligence.
Your Fields,
In High Definition.
AgriLens™ puts world-class remote sensing and yield prediction in the palm of your hand. Access real-time NDVI maps, growth alerts, and explainable AI insights anywhere, from any device.
Progressive Web App
Zero install required. Fully functional offline in low-connectivity rural zones.
Hybrid Data Stream
Combines Sentinel-2 satellite data with localized sensor and drone telemetry.
Every Prediction, Explained.
AgriLens is the only precision agriculture platform that uses SHAP (SHapley Additive exPlanations) to show exactly why each yield prediction is what it is.
Zero of 14 competing platforms offer any formal explainable AI methodology. As the EU AI Act (August 2026) increases transparency requirements and Canadian government procurement demands algorithmic accountability, this capability becomes a decisive qualification advantage.
Yield Prediction — Ontario Corn 2025
What Sets AgriLens Apart
Three capabilities no competitor offers.
SHAP Explainability
Zero of 14 platforms analyzed offer SHAP or any formal explainable AI methodology. AgriLens shows exactly WHY predictions are what they are — critical as the EU AI Act (August 2026) increases transparency requirements.
NASA Prithvi-EO-2.0
No commercial precision agriculture platform has deployed a geospatial foundation model in production. Prithvi-EO-2.0 achieved R² of 0.81 for canola yield prediction on the Canadian Prairies.
Bilingual EN/FR Support
Full English and French support compliant with the Canadian Official Languages Act. A concrete qualification advantage for government procurement in bilingual jurisdictions.
Automated Field Intelligence
Deploy state-of-the-art computer vision models to edge devices (drones and tractors) for immediate pest routing and disease detection.
Core Modules
Crop Yield Prediction
ML models analyze satellite vegetation indices, weather patterns, and historical data to forecast yields with SHAP-powered explainability for every prediction.
Disease Detection System
Convolutional neural networks analyze crop imagery to detect visual symptoms like discoloration, lesions, and abnormal growth patterns with high-precision diagnosis.
Pest Monitoring & Control
Computer vision systems capture and analyze field images to identify pests and assess damage levels, recommending targeted intervention strategies.
Weed Detection & Management
AI-powered systems distinguish crops from weeds using visual characteristics, guiding precision sprayers for targeted treatment with minimal herbicide use.
Virtual Agronomist
RAG-powered conversational AI provides expert guidance grounded in authoritative agricultural guidelines, combining LLM capabilities with domain-specific knowledge.
Climate Intelligence
AI models predict climate impacts on crop phenology and productivity, recommending adaptive strategies including cultivar selection and optimal planting schedules.
See AgriLens in Action
Schedule a walkthrough with our team to see how AgriLens delivers explainable yield predictions for your region.
Schedule Consultation