Welcome to STELLA PSS Platform
Smart Pest Monitoring & Response for Sustainable Agriculture
STELLA PSS platform provides a holistic digital system that helps farmers, advisors, and authorities predict, detect and manage pest and disease threats. By combining satellite monitoring, AI-driven image analysis, and real-time environmental data, STELLA enables early warnings, accurate detections, and effective responses—all in one place.
Access PSS Tool
Early Warning System (EWS)
Forecast Pest Risk Before Outbreaks Occur
EWS uses weather data, crop models, and smart trap images to predict the likelihood of pest activity. It helps prevent infestations through early alerts and risk scoring.
Key Features
Risk Index Scores
(Low/Medium/High) with probability values
Interactive Map View
with parcel overlay and risk heatmaps
Crop & Pathogen Info
including BBCH growth stage and forecast dates
Weather Panel
temperature, humidity, precipitation, soil data
Risk Index History
view daily trends and severity changes
Satellite Pest Detection (PDS)
Detect Crop Stress Using Remote Sensing
PDS uses satellite data to identify vegetation stress linked to pest presence. Each detection is scored and mapped by severity—then sent to PRS for classification and recommended action.
Key Features
Smart Risk Maps
Color-coded grid overlays show exactly where and how severe the threat is— green to red, low to high.
Instant Response Guidance
One-click “Take Me to Action” sends you to the Pest Response System for tailored advice based on pest type and risk level.
Live Detection Timeline
Scroll through historical detections with severity, timestamps, and detection sources for full context.
Confidence Scoring
Every detection comes with a score, so you know what’s solid and what needs validation.
Detailed Field Metadata
Know your exact location, crop type, growth stage, and detected pathogen—all in one view.
Linked Response
Every detection flows directly into STELLA’s response engine, triggering pest classification and action recommendations.
EDEN Viewer Detection
Field-Level Imaging for Rapid Pest Confirmation
The EDEN Viewer uses AI to detect visible symptoms of infection from ground-level imagery. Red markers pinpoint anomalies across your field, while image samples and severity scores guide immediate action.
Key Features
Precision Detection Points
Red dots highlight anomaly clusters along monitoring paths—mapped in detail with trajectory overlays.
AI-Powered Symptom Analysis
Automatically scans and flags symptoms of pest or disease stress from RGB field images.
Collected Image Previews
Visual history of images tied to detection points, timestamped and georeferenced.
Severity Scoring + Validation Status
Each detection includes a severity rating (Low–High), confidence score, and validation progress.
Instant Response via PRS
Each confirmed detection is automatically classified and processed through the Pest Response System (PRS), ensuring the right regulatory actions and pest management guidelines are applied based on pest type and risk level.
Learning Hub
Build Practical Skills for Smart Plant Health Monitoring
Coming soon...
Do you have more questions?
We're here to help. Contact us or use the in-platform support form for direct assistance.
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