Bounding Box
Tag pests, crop clusters, and anomalies in satellite or drone-captured field images for faster detection and training.
Labels that train smarter AI
Data Annotation & Labelling for Agriculture
We deliver annotations at scale for precision agriculture, from identifying crop stages to mapping soil and pest patterns, giving your AI the field-ready data it can trust.
Labels that train smarter AI
In precision agriculture, one bad label can mean acres of wrong predictions. That's why we combine QA workflows built for spatial and temporal data with annotators who don't just know agri, they've lived it.
From object tracking in drone imagery to semantic segmentation of soil types, our in-house teams handle complex, high-volume data with confidence. And because every region grows different, we localize annotations to your crop, climate, and goals so models actually perform in the field.
Annotation That Delivers
Polygon
Enable high-precision mapping of irregular regions like leaf damage, soil patches, or weed clusters within large orthomosaics.
Video
Frame-by-frame annotation of drone footage to track crop growth, disease spread, irrigation patterns, and more over time.
Field Precision, Proven Impact
We power sustainable agriculture with precise annotation from regenerative mapping to carbon verification.
Field Diagnostics
Tag crop health, pests, and anomalies using satellite, drone, and field images for QGIS-ready insights.
Soil Mapping
Label texture zones, drainage, and degradation patterns to help guide soil conservation and inputs.
Carbon Validation
Support MRV protocols by tagging land use patterns, vegetation cover, and boundary changes.
Precision Labels for Productive Fields
Explore use cases in agri annotation from diagnostics to sustainability and supply chain visibility.
Frequently Asked Questions
Quick answers to help you make smarter, faster decisions with confidence
What annotation types do you offer for agriculture?+
We support image, video, text, and audio annotation tailored for agriculture, like bounding boxes for pest detection, polygons for crop fields and much more.
Can you build custom agri workflows?+
Yes. We customize every step from agri-specific label taxonomies and multi-stage QA to region-specific annotation logic using your tools or ours.
How do you ensure annotation accuracy?+
All annotations go through multi-tier QA and model-in-the-loop validation. Annotators are trained in crop types, pest behavior, and local patterns so mistakes don't scale.
Do you support regional content and local languages?+
Absolutely. We support multi-language annotation in English and major Indian languages.
Can you work within our GIS tools or platforms?+
Yes. We work with tools like QGIS, CVAT, and custom APIs to deliver outputs in formats like GeoTIFF, shapefiles, and JSON - ready for modeling or visualization.
Is the data handled securely?+
Always. All data is handled in secure, in-house facilities under SOC2, GDPR, and HIPAA-aligned practices.
Talk to us
Tell us about your AI data requirements and our team will help map the right workflow.
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