Every precision agriculture service starts with accurate field boundaries.
We have developed state-of-the-art deep neural network model for Field Delineation. We managed to reach 12-15% higher accuracy than current existing datasets based on models using super-high resolution (1m per/pixel) coupled with extensive training data (IoU of 0.96).

Global Coverage
We’re always working hard to bring new regions like France, Spain, Brazil, US, Australia, Germany and 30+ more.

Predictable Price
We've prepared a convenient system of discounts for increasing the volume of use. More requests - less price.
Full Documentation
We provide full access to all our documentation and simple API / Add-ons endpoints for easy integration.
How does Delineation Model work?
We delineate field boundaries and seeded acres in the growing season based on the super-resolved Sentinel-2 at 1m per pixel using 4-bands (RGB + NIR) and we serve the latest, most up-to-date data through our API to your digital solution (or through Shape/KML/Geojson), which is crucial for in-season analysis and season-planning.

8+ Years of Data
We provide historical data (back to 2015) and in-season including seeded acres.

0.95 IoU Score
Intersection of Union average accuracy score of 0.94-0.96 for our FD Model.

200M+ hectares
Delineated agricultural fields and seeded acres using Sentinel-2 at 1m resolution.

4 Query Types
We serve data via API so you can integrate it directly within your product.
Empowering Innovative Agriculture Companies
Latest Demo Regions
Explore newly added regions with thousands of boundaries or request your area of interests.
Why do accurate field boundaries matter?
Beyond farmers and growers, the entire agricultural value chain is affected by field boundary and seeded acreage data. Accurate boundary data can help the estimated 570 million farmers and growers worldwide boost their yields and lower their input costs.

Pre-production
Fungicides, herbicides and pesticide companies, plant breeding companies. All VRT starts with accurate field boundaries.

Processing & storage
Grain-traders, grain mills and logistical networks require field boundaries and current in-season seeded acres to forecast their grain volume inventories.

Grain buyers and food processors, carbon crediting bodies. Any carbon or sustainability mapping requires accurate field boundaries and seeded acres.

In-field autonomous agricultural machinery require highly accurate field boundaries for safe and reliable operations. RTK boundary is expensive and does not offer a scalability.

FMS providers need to onboard and scale their user base. Manual digitization of field boundaries by farmers (end-users) is inaccurate and time consuming.

Crop insurance businesses and national paying agencies need to conduct manual field-controls of claims and subsidies, this is costly and time-consuming.
Edit, Split and Merge Boundaries
As a bonus and a very useful additional option - we provide the ability to change the field boundaries using our editor (basic functionality to edit, split, merge, add / remove holes).