Solutions

Soil sampling that actually reflects your field

Stop treating your field like a checkerboard. We find where it truly varies, so every sample counts — and the resulting soil maps show what's really going on.

Free to get started — no credit card required

The Challenge

Why grid sampling falls short

Grid sampling assumes soil changes at regular intervals. It doesn't. Soil varies with drainage, slope, management history, and geology — none of which follow a grid. You end up over-sampling uniform areas and missing the spots that matter. And when the results get interpolated, the maps smooth over the very variation you paid to measure.

The Solution

Zone-based sampling, model-based maps

We use satellite time-series and terrain data to identify zones in your field that genuinely behave differently. You take one sample per zone. Then, instead of simple interpolation, our models predict soil properties continuously across the entire field — capturing transitions, gradients, and variation that interpolation destroys. The result: high-resolution soil property maps from fewer samples.

Why it matters

Grid + interpolation vs. modeled soil maps

Traditional soil sampling uses a fixed grid, then interpolates between points — smoothing over the very variation you paid to measure. Our approach models soil properties based on environmental similarity, using satellite and terrain patterns to predict what's actually in the ground.

Traditional: Fixed grid sampling

Interpolated phosphorus map — smooth gradients between sample points

Interpolation creates rough patches with artificial boundaries

Interpolation smooths over real soil differences between points

Needs many expensive samples — and still just interpolates between them

Xsupra: Precision soil maps

Model-based phosphorus soil map — continuous surface showing real field variation

Modeled maps that follow real environmental structure

Modeling captures real variation based on environmental structure

Modeled from spectral and terrain patterns — fewer samples, more accurate maps

In the app

Explore soil data on any device

Soil pH map — per-zone pH values overlaid on satellite imagery

Soil pH Map

See pH values for each zone on the map

NDVI satellite vegetation map with zone health indicators

Crop Health Map

See crop health per zone from satellite

How it works

01

We identify distinct zones in your field using satellite and terrain data

02

You take one sample per zone and send it to the lab

03

Our models build continuous soil property maps across the whole field — not just interpolated points

Why this matters

Fewer samples, better maps — because every sample is taken where it counts

Real soil variation captured, not grid-line artifacts

Accurate foundation for nutrient management and application maps

Lower sampling costs without sacrificing map quality

What Farmers Say

We compared Xsupra's sampling results with our in-house approach: the 10 x 10 m grid is significantly more accurate and precise. With the soil maps, we save up to 50% on fertilizer and about 6 hours per week on field inspections. The service and onboarding were very dedicated and professional — it's a pleasure to work with.

Mathias Dippe

Mathias Dippe

Agrar Dippe GmbH & Co. KG — 880 ha, 14 crops, Saxony-Anhalt

Ready to see how it works on your fields?

Book a free call. We'll look at your situation together — no sales pitch, just an honest conversation about whether Xsupra fits.

Talk to us about your farm

Free to get started — no credit card required

Backed by

TUM Venture Labs Food/Agro/BiotechESA BIC HessenEU Co-financedBMPINVEST
Talk to us about your farm