Agri Data Fusion

Fusing optical, radar, and thermal satellite data delivers crop insights, enabling precise irrigation, fertilization, and yield forecasting across varied field conditions.

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How does it work?

Traditional single-sensor imagery often misses key crop stress indicators due to cloud cover, low revisit rates, or limited spectral range, leading to suboptimal field management. Multi-sensor fusion integrates optical, radar, and thermal data to provide consistent, comprehensive crop health metrics, improving decision accuracy and resource allocation.

All-Weather Imaging: Radar penetrates clouds and provides data when optical sensors are unavailable. Fusion ensures uninterrupted crop monitoring regardless of weather conditions.
Enhanced Temporal Resolution: Combining sensors with different revisit cycles increases data frequency. This enables near-real-time tracking of crop development and stress events.
Advanced Stress Detection: Thermal and optical anomalies highlight water stress and disease onset early. Fusion improves sensitivity to subtle changes, enabling prompt interventions.
Optimized Irrigation Management: Integrated thermal and radar moisture estimates guide precise water applications. This reduces water usage and prevents under- or over-irrigation across heterogeneous fields.
Precision Nutrient Application: Multi-spectral indices detect nutrient deficiencies at sub-field scale. This supports targeted fertilizer deployment, reducing costs and environmental impact.
Accurate Yield Forecasting: Fusion-derived vegetation metrics feed predictive models for reliable yield estimates. Farmers can plan harvest logistics and market strategies with confidence.

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.

What is multi-sensor satellite data fusion compared to single-sensor analysis?: Multi-sensor satellite data fusion integrates optical, radar, and thermal imagery into unified crop assessments. It overcomes the blind spots inherent in single-sensor methods, delivering more robust and continuous monitoring.
How does fusion compare to optical-only monitoring?: Unlike optical-only approaches, fusion incorporates radar for all-weather coverage and thermal for stress detection. This combination ensures reliable insights even under cloud cover or variable lighting conditions.
Why is sensor fusion popular among large-scale growers?: Large-scale growers value sensor fusion for its scalability and reduced risk of data gaps. Enhanced temporal and spectral coverage supports precise management across thousands of hectares.
Can smallholders adopt multi-sensor fusion?: Smallholders can leverage fusion through cloud-based platforms with pay-as-you-go pricing. While data processing requires connectivity, automated workflows streamline analysis for users without GIS expertise.
What are alternatives to satellite data fusion?: Alternatives include UAV surveys and ground-based sensor networks, which offer high resolution but limited spatial extent. Satellite fusion provides broader coverage and frequent revisit rates at lower operational overhead.
Are there limitations to using multi-sensor fusion?: Fusion demands higher computational resources and specialized algorithms to align diverse data types. Data latency can also vary by sensor, requiring interpolation techniques to synchronize datasets.

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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