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Agronomist+

Amplify
your expertise

A full agronomist's workspace and cause diagnosis on top of the ERP, GIS and people you already have.

Start an A/B benchmark

Satellite view of a farm: fields and a block of blooming rapeseed

Workspace

Hyperspectral finds the cause, the action is already assembled

Not another map. Every field comes with a conclusion and a ready move: saw a moisture deficit, ordered irrigation; saw nitrogen, built a task map. One tap and the task is in progress.

Field B · Sunflower98 ha
moisture NDMI 0.24 · dry

Hyperspectral: canopy moisture running out. SWIR catches the deficit before wilting.

confidence 84%Order irrigation
Field C · Maize211 ha
red edge −14 nm

Nitrogen dropping, the leaf still green. Rate +30 kg/ha on a 12 ha zone.

confidence 82%Build a task map
Field A · Winter wheat143 ha
spectral anomaly

The spectrum is anomalous where nitrogen and moisture are normal. Needs an on-site check.

confidence 71%Call a drone

Where our edge is

We see what your map doesn't

Your system shows a zone is weaker. Hyperspectral shows why, and often weeks earlier.

Your map · NDVI 0.65

Field B “normal”, no need to drive out

Agronomist+ · hyperspectral −14 nm

The red edge shifted: nitrogen has been dropping for 10 days, the leaf still green

Connects to your
  • ERP
  • GIS
  • machine terminal
  • drone
  • lab
  • Telegram

We don't change the system of record. We strengthen diagnostics and hand actions off to the tools you already use.

A cause, not an index

One weak zone, five diagnoses

How it reads

The red edge and chlorophyll drop before the leaf yellows.

Action

A nitrogen task map with a per-zone rate.

Your system vs Agronomist+

The question isn't layers, it's the diagnosis

What you needYour current oneAgronomist+
Separates nitrogen and moistureweaklycore
Sees unseeded hectaressometimescore
Task map by the zone's causeby indexcore
Builds a scouting routemanuallycore
Shows confidence and evidenceweaklycore

Put us alongside for 6-8 weeks

Keep your current system. We run AstraField over the same fields and dates and compare confirmed decisions. If we don't find what your system missed or confused, don't roll us out.

  1. 1-2Import boundaries, sync fields
  2. 3-5Parallel diagnostics, review of discrepancies
  3. 6-8Confirmed decisions and an honest verdict

Start an A/B benchmark See Start

Cause. Confirmation. Action.

One product turns a field's spectrum into a concrete step. Start with a free pilot on your own fields.