The Process

From soil data to prescription files in 48 hours.

Four steps from your existing field data to a prescription file your planter or sprayer display can read. No manual zone drawing. No translation from map to rate table.

Step 01

Connect your field boundaries and existing data

Upload what you already have. Soilynx accepts the file formats agronomists and growers are already working with — no reformatting soil test CSVs, no converting yield monitor files, no re-drawing field boundaries that already exist in your display terminal or Operations Center account.

1

Upload field boundaries

Shapefile (.shp), FSA CLU boundary, or GPS track from your display terminal. We accept any standard format.

2

Import existing soil test points

Export your soil test database from your current ag software or lab portal. CSV with lat/long coordinates and nutrient values is the simplest format.

3

Connect soil sensor hardware

If you’re running Campbell Scientific, Decagon, or Stevens probes, add your API credentials. Sensor data uploads automatically from that point forward.

Supported input formats

  • Shapefiles (.shp, .dbf, .shx, .prj)
  • FSA CLU farm field boundaries (GeoJSON)
  • John Deere Operations Center boundary export
  • Climate FieldView field boundary import
  • Combine yield monitor data (.cn1, .csv, .yld)
  • Soil test lab CSV exports (SSA, Midwest Labs, A&L)

Step 02

Weekly satellite scan

Every seven days, Soilynx processes new satellite imagery for every registered field. You don’t trigger it — it happens automatically on the weekly processing cycle.

Sentinel-2 10m Landsat 8/9 30m NDVI GNDVI Red-edge CI

Multi-satellite composite

Sentinel-2 at 10m resolution, 5-day revisit. Landsat 8/9 at 30m, 16-day. When cloud cover blocks Sentinel, Landsat fills the gap. Cloud masking prevents bad-pixel averages from corrupting zone boundaries.

Band combination math

NDVI = (NIR − Red) / (NIR + Red). GNDVI substitutes Green for Red — more sensitive to chlorophyll concentration in high-biomass corn. Red-edge CI = (NIR / Red-edge) − 1 for early nitrogen stress detection before visual symptoms appear.

Step 03

Management zone generation

The zone model applies a documented correlation methodology across four data layers to draw boundaries that reflect actual agronomic differences. Soilynx does not generate zones from a single NDVI snapshot or a static soil type map. Zone boundaries shift as new satellite passes and sensor readings come in — they are not locked at setup.

Zone generation inputs

  • Multi-year NDVI temporal variance (2–8 seasons)
  • Soil EC probe readings co-registered to NDVI raster
  • Multi-year combine yield monitor yield stability zones
  • Soil test nutrient levels at known GPS point locations

Output: 4–8 management zones per field

Each zone carries an application rate recommendation backed by the combined agronomic evidence from the layers above. Zone count scales with field variability — uniform fields get fewer zones.

Step 04

Prescription files delivered

Within 48 hours of your first field upload, your prescription files are ready in the Soilynx dashboard. All four supported formats export in the same operation — pick the one your terminal reads.

1

Download from Soilynx dashboard

Select field, select prescription type (N, seeding, irrigation), download zip with all four formats.

2

Load onto display terminal USB drive

Copy the correct format file to your USB drive. On John Deere 2630, that’s the .xml file in the TASKDATA folder on the drive root.

3

Apply as variable-rate prescription in field

Your terminal reads the zone map and controls your variable-rate controller automatically. No manual rate entry required once the file is loaded.

Ready to start

Your first field is free.

Start with one field. See how the process works on your actual data. First prescription ready in 48 hours.

Get your first prescription Check terminal compatibility