Rooted in agricultural data

How AgriSense works

AgriSense combines public soil, climate and harvest data to rank 13 crops for your Florida location. Deterministic calculations produce the suitability scores, and AI explains those results in plain language.

From data to guidance

  1. 01

    Agricultural Data

    Soil, weather and harvest records describe conditions at your Florida location.

  2. 02

    Suitability Scoring

    Python compares those conditions with crop requirements to calculate an explainable suitability score from 0 to 100.

  3. 03

    AI Interpretation

    Anthropic turns the calculated results into plain-language guidance. It never invents scores, yields or prices.

Data sources

Explore agricultural data providers

NASA POWER

Daily temperature, precipitation and solar data for local climate conditions.

Visit NASA POWER

The six factors

Each factor scores from 0 to 100. Missing factors are excluded and the remaining weights are normalized; climate factors are evaluated for each Florida growing window, and the best window wins. If soil pH, drainage, season temperature or frost risk scores below 25, the total is capped at 45.

View scoring factors and weights
Suitability factors, their default weights and what they measure
FactorWeightWhat it measures
Soil pH20%How closely soil acidity matches the crop’s preferred range.
Drainage15%How well the soil’s drainage class suits the crop.
Season temperature20%How temperatures during a Florida growing window match the crop’s needs.
Frost risk15%Freeze days during the growing window compared with the crop’s cold tolerance.
Rainfall10%Rainfall during the growing window compared with the crop’s water needs.
Local history20%Evidence that the crop has been grown in the county or elsewhere in Florida.

Coverage and missing measurements

AgriSense covers Florida and 13 crops. Public records describe regional conditions; they are not a substitute for testing your own soil.

Understand geographic coverage

Soil values describe survey map units, climate values describe a grid around your location, and harvest records may cover a county or the whole state. Check the report’s source details for the geographic level and reporting period.

Understand missing, estimated and saved data

Missing scoring factors are excluded and remaining weights are normalized. Read the data coverage summary and source details for missing factors, estimates and warnings. Saved demo responses are examples, not live measurements for your property. Missing yields or prices do not establish expected returns.

Limitations

  • Climate data uses a roughly 50 km grid, so conditions on an individual farm may differ.
  • Soil data represents map-unit averages and may miss variation within a field.
  • Some vegetables only have statewide data; local yield records may be unavailable.
  • Results provide general guidance only. Consult UF/IFAS Extension and assess your field before making planting decisions.