Satellite
Data generation for agribusiness
Earth Observation + AI to generate actionable data for agribusiness operations.
We transform satellite and aerial data into technical products: productivity/biomass, protein content, soil organic carbon, soil properties, NDVI time series, and automatic weather alerts days in advance.
Outcome KPIs (replace with verified values)
- Metric value Metric label
- Metric value Metric label
- Metric value Metric label
Weather
Field data
AI processing
Single deliverable
Integrated technical report
Trusted by
Organizations and partners we collaborate with.
Selected entities connected to projects and collaborations.
How it works
From multi-source EO data to usable technical datasets.
A workflow designed to convert Earth Observation into operational agribusiness data.
1. Data fusion
We integrate Sentinel-2, very high-resolution satellite data, aerial photography, and UAV (drone) data.
2. AI interpretation
We apply AI models to estimate biomass, protein content, SOC, soil properties, and NDVI dynamics.
3. Data delivery
We deliver maps, time series, and tabular outputs for operational and technical decisions.
Operational fusion in one control layer
Source harmonization, AI scoring, and quality checks stay connected before delivery.
Solutions
Data products for agribusiness operations at scale.
Technical outputs for monitoring and operational planning.
Productivity/Biomass and protein
Estimate productivity, biomass, and quality to compare parcels and support management decisions.
Soil property estimation
Generate soil property layers for technical zoning and agronomic strategy support.
NDVI time series
Build NDVI histories for performance analysis, seasonality tracking, and change detection, with 2.5 m spatial-resolution imagery (based on Sentinel-2 super-resolution).
Automatic weather alerts days in advance
Receive automated weather alerts several days in advance to plan operations and reduce weather risk.
Use cases
Data outputs for real agribusiness workflows.
Examples of direct use of VirtuaCrop EO + AI data products.
Parcel-level productivity management
Use biomass and protein estimates to compare parcels and support field management decisions.
Large-scale soil characterization
Use soil property maps to identify spatial variability and prioritize technical actions.
Historical NDVI performance tracking
Track vegetation dynamics over time to support technical reporting and business planning.
Deployment-ready data outputs
Map layers, time series, and parcel insights are prepared for business and technical teams.
Contact
Need support or want to discuss your scenario?
Send a message and our team will review your request and get back to you.
virtuacrop@virtuacrop.com