Pest Outbreak AI

AI-driven analytics detect pest and disease outbreaks in crops from satellite and drone imagery, enabling targeted interventions to reduce yield loss.

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How does it work?

Traditional field scouting for pests and diseases is time-consuming, labor-intensive and often misses early-stage outbreaks, leading to widespread crop damage. AI-based geospatial analysis automates detection using multi-spectral imagery, providing precise early alerts that enable farmers to intervene before infestations escalate.

Early Detection: The platform analyzes spectral signatures to identify stressed vegetation patterns before visible symptoms emerge. Early warnings allow farmers to apply treatments at the first sign of outbreak, preventing large-scale crop loss.
Precise Mapping: High-resolution satellite and drone imagery generate detailed outbreak maps at the field level. This spatial precision ensures interventions are applied only where needed, optimizing resource allocation.
Automated Alerts: Customizable thresholds trigger real-time notifications when pest or disease indicators exceed risk levels. This automation reduces manual monitoring effort and accelerates decision-making.
Reduced Chemical Use: Targeted interventions based on accurate detection hotspots minimize unnecessary pesticide applications. This precision lowers input costs and environmental impact while maintaining crop health.
Scalable Monitoring: Cloud-based processing handles imagery across thousands of hectares with minimal user input. The solution scales from small farms to large agricultural enterprises.
Forecast Modeling: Integrates weather and historical outbreak data to predict high-risk zones under varying conditions. Predictive insights help schedule proactive measures and allocate resources efficiently.

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 compare to manual scouting?: Unlike manual scouting, which is laborious and limited to sample plots, the AI platform continuously analyzes imagery across entire fields. This comprehensive coverage detects outbreaks earlier and more reliably than periodic human surveys.
Why is AI detection popular among agronomists?: Agronomists appreciate AI detection for its ability to process multi-spectral data at scale, revealing subtle stress patterns invisible to the naked eye. Its popularity stems from improved response times and reduced crop loss through proactive management.
Can it operate under cloudy conditions?: Cloud cover can limit optical imagery availability, but synthetic aperture radar (SAR) data integration provides consistent monitoring. When SAR is unavailable, the system interpolates between clear-sky acquisitions to maintain near-real-time surveillance.
What alternatives to satellite imagery exist?: Drone and UAV platforms offer high-resolution, on-demand data that complement satellite coverage for small or heterogeneous fields. These alternatives enhance granularity, especially during rapid outbreak developments or in regions with frequent cloud cover.
Are there limitations in differentiating similar stress factors?: Spectral signatures of pests and diseases can overlap with nutrient deficiencies or water stress, requiring multi-index analysis for accurate classification. The platform combines temporal patterns and environmental data to reduce false alarms and improve differentiation.
How frequently can I receive outbreak maps?: Update frequency depends on data sources; satellite imagery can provide 2–10 day intervals, while drone flights deliver on-demand updates. The system automates processing immediately upon data upload, ensuring timely map availability.

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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