Model the field.
Soil tests, yield history, and zones feed published agronomic models - MRTN for nitrogen and ISU P/K models for phosphorus and potassium.
FieldMatrix attaches per-input ROI to every recommendation, grounds it in published agronomic models, and hands you a spray window you can actually fly.
Corn, MRTN response curve, aerial-ready handoff
Apply zones 2 and 3, skip zone 1.
Marginal N clears breakeven on 62% of acres at current corn and input prices.
Agronomic model
Input economics
Application timing
Applicator handoff
They hand a grower a prettier map. But a map does not say whether the next 30 pounds of nitrogen will pay at today's corn price - and it does not say whether you can legally and effectively fly the job on Thursday.
FieldMatrix is built backward from there: start with the dollar return on each input, end with an application you can put in the air at the right moment.
Soil tests, yield history, and zones feed published agronomic models - MRTN for nitrogen and ISU P/K models for phosphorus and potassium.
Each recommendation carries its own ROI at current input and commodity prices, with the breakeven spelled out before you spread or spray.
A prescription becomes an application-ready job with a weather and inversion-checked spray window - ground rig or aerial.
The grower's data belongs to the grower. You are the trusted steward, not the harvester.
FieldMatrix connects field records, published agronomic models, input economics, and applicator handoff so every recommendation is both defensible and executable.
Source data
Field records, prices, soil tests, and zones
Operational output
Priced prescription plus job packet
Defensible recommendations you can walk through line by line.
Give growers the math instead of a generic recommendation.
Move from decision to application without rebuilding the job.
Fly good windows and skip risky calls.
Keep the recommendation and the application in the same workflow.
Protect the relationship that keeps the account.
Click a question and see the kind of answer an applicator needs before committing aircraft, chemistry, and daylight. Mock data only; no backend or API calls.
All answers are canned mock data from a local JSON file. This demo does not call a backend.
Win and keep accounts with recommendations you can defend at the kitchen table. Show the ROI, ground it in the models, and make the agronomy the reason a grower stays with you.
Stop guessing the window. Get jobs that arrive application-ready with a spray window already weather- and inversion-checked, so you fly more good acres and skip the bad calls.
The industry has spent a decade competing on data and dashboards. But growers do not buy data - they buy outcomes, and they remember who gave them a recommendation that made money and one they could trust.
FieldMatrix is sold dealer-first. You bring the grower relationships; we make the agronomy defensible and the applications flyable.
Book a dealer demo and we will run one of your fields through FieldMatrix - models, ROI, and a spray window - live.