Disease Sentinel

AI-based geospatial insights identify early crop disease outbreaks across fields, enabling precise treatment zones to minimize losses and chemical use.

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How does it work?

Late detection of crop diseases often leads to widespread infection and excessive pesticide application, increasing costs and environmental impact. Geospatial early outbreak detection pinpoints disease hotspots swiftly, allowing targeted treatments that conserve resources and protect yields.

Early Detection: High-resolution satellite and drone imagery combined with AI models spot disease indicators before visible symptoms emerge. Early alerts enable proactive management to prevent widespread outbreaks.
Targeted Treatments: Geospatially mapped disease hotspots allow farmers to apply interventions only where needed. This precision reduces chemical use and limits crop stress from unnecessary applications.
Reduced Costs: By focusing resources on confirmed infection zones, overall pesticide and labor expenses decrease significantly. This targeted approach can lower treatment costs by up to 30% compared to blanket spraying.
Environmental Safety: Minimizing chemical applications outside affected areas reduces runoff and preserves beneficial organisms. Precision disease management supports sustainable agriculture and regulatory compliance.
Scalable Monitoring: Automated processing of recurring imagery covers thousands of hectares without manual surveys. Scalable analytics ensure consistent disease surveillance across large or remote operations.
Integration Flexibility: API-driven outputs integrate seamlessly with farm management systems and variable-rate applicators. Custom alerts and dashboards fit existing workflows for immediate adoption.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this early outbreak detection compare to manual scouting?: AI-assisted geospatial analytics process imagery faster and cover more area than manual scouting methods. While manual surveys rely on visible symptoms and limited sampling, automated detection spots subtle anomalies and scales to entire farms.
Why is geospatial disease management popular among growers?: Growers value its ability to reduce input costs and environmental impact through precise interventions. High adoption stems from improved yields and ROI demonstrated in pilot implementations.
Are there limitations to satellite-based detection?: Satellite imagery can be hindered by cloud cover and lower resolution compared to drone data. Combining multiple data sources and scheduling flights under optimal conditions mitigates these constraints.
Can this system replace traditional fungicide programs entirely?: The system complements rather than replaces fungicide programs by optimizing application timing and zones. Integrated use ensures broad-spectrum protection while reducing over-application.
What alternative technologies exist for early disease detection?: Alternative approaches include in-field sensor networks and spectral sensors mounted on machinery. Geospatial AI offers broader coverage and integrates multiple data layers for comprehensive analysis.
How frequently can outbreak maps be updated?: Update frequency depends on imagery refresh rates—satellites deliver 5–7 day intervals, while drone flights can be scheduled daily. Automated workflows ensure rapid map regeneration as new data arrive.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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