Field Boundaries
Precisely digitized farm plots and buffer zones using orthomosaics, shapefiles, or satellite imagery.
Agriculture intelligence
Geo-Spatial Mapping for Agriculture
Use QGIS, orthomosaics, and expert-led annotation to validate field boundaries, track soil vitality, and measure your carbon footprint with accuracy, transparency, and scale.
Geospatial Labeling for Climate-Conscious Agriculture
Sustainability starts with understanding your land. We use geospatial annotation, QGIS tools, and orthomosaic imagery to map agricultural fields with precision - validating boundaries, identifying soil variation, and tracking field health at a granular level.
But we don't stop at mapping. Our teams apply domain knowledge to annotate features relevant to carbon programs like cover crops, water stress indicators, and tilling patterns, ensuring every dataset fuels your regenerative goals. Whether you're verifying carbon impact or planning smart interventions, we deliver data you can act on.
What We Deliver
Soil & Crop Health
Visual indicators of erosion, water stress, and vegetation vigor mapped for data-driven sustainability.
Carbon Markers
Mapped cover crops, tillage patterns, and residue levels to validate climate-smart farming practices.
Complex Data, Real Impact
We label geospatial and soil data to validate field boundaries, monitor agri-health, and prove carbon gains.
Carbon Programs
Map cover crops, tillage, and no-till practices to validate claims for carbon markets and green audits.
Soil Monitoring
Label erosion risk, nutrient zones, and vegetation patterns to guide smarter, more adaptive practices.
Boundary Validation
Digitize field shapes from satellite or drone imagery to avoid leakage, double-counting, or subsidy errors.
Case Studies
Proof points from production-grade data operations.
Case Study
Scaling Pest Detection With AI Across 300K Hectares
300K+
Hectares Covered
7
AI models Developed
96%+
Precision Achieved
Turning Your Fields into Findings
Track, label, and verify sustainability efforts across diverse farmlands and datasets.
Frequently Asked Questions
Quick answers to help you make smarter, faster decisions with confidence
Do you support QGIS and orthomosaic formats?+
Yes. We annotate directly within QGIS or ingest orthomosaic imagery for bounding box, segmentation, and shapefile outputs.
Can your labels be used for carbon verification?+
Absolutely. We annotate field boundaries, tillage patterns, and cover crops with audit-ready documentation for carbon programs.
What agricultural data types do you support?+
We support drone, satellite, multispectral, RGB, and LiDAR data - across crops, soil types, and climates.
How do you ensure consistency in annotations?+
Through multi-layer QA, specialist training, spatial overlap checks, and AI-assisted validation to ensure consistency across frames.
Is the process compliant with climate program standards?+
Yes. We align with carbon offset protocols and can customize outputs to meet Verra, Gold Standard, and CDM guidelines.
Can you integrate with our GIS stack or APIs?+
Definitely. We work with custom plugins or APIs to fit right into your GIS workflows - whether cloud-based or on-prem.
Talk to us
Tell us about your AI data requirements and our team will help map the right workflow.
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