Drought Alert
Real-time geospatial analytics detect early drought stress and forecast crop water deficits, enabling proactive interventions to prevent yield losses.





Real-time geospatial analytics detect early drought stress and forecast crop water deficits, enabling proactive interventions to prevent yield losses.
How does it work?
Unpredictable drought events cause severe crop stress and yield reductions when detection is delayed. Early-warning through satellite and weather data integration provides timely alerts to optimize irrigation and mitigate failure risk.
High-resolution drought indices identify plant water stress days to weeks before visual symptoms appear. This lead time enables targeted irrigation and adaptive management before irreversible damage occurs.
Machine learning models combine weather forecasts with soil moisture trends to predict drought trajectories up to 30 days ahead. Predictive insights support strategic planning for crop selection and resource allocation.
Automated alerts guide precise irrigation scheduling and water budgeting. This reduces water use by up to 25% while maintaining crop health under limited supply conditions.
Continuous monitoring and threshold-based notifications help farmers act before critical stress thresholds are reached. Proactive interventions can lower crop failure rates by up to 40% during dry spells.
Platform processes satellite imagery across thousands of hectares in near-real time. Scalable analytics support smallholder farms and large agribusinesses across diverse geographic regions.
APIs connect drought alerts with existing farm management and irrigation control systems. Seamless integration streamlines decision workflows and automates response actions.
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Geospatial AI Platform
AI & foundation models
Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.
Conversational workflow
Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.
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.
Any sensor, any format
Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.
Insight you can see
Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.
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.