AgriAIby FRSHOpen my fields
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How AgriAI works

AI that keeps an evidence trail.

Useful intelligence starts with knowing what a number actually represents. Here is how the current weather workspace handles your evidence.

01

Published evidence

We retrieve Canadian location records, observations and forecasts from ECCC’s City Page Weather feed. Each result retains its source link and publication time.

02

Keep the units

Temperature is shown in °C, wind in km/h and precipitation probability in percent. Missing values are unavailable, never treated as zero.

03

Separate now from next

Current observations, hourly forecasts and longer-range forecasts have distinct timestamps. Observations older than six hours are withheld; forecasts older than 18 hours are flagged.

04

Make the summary checkable

The evidence brief finds the minimum temperature and maximum precipitation probability and sustained wind across the displayed hourly window. It is a calculated summary, not a generative AI answer.

05

Record the field

Signed-in users can save field names, crops, acreage, nearby forecast locations and dated observations. These records are private to their account and can be exported or deleted.

06

Keep the limits visible

City and regional forecasts are context. They do not measure field soil moisture, identify crop disease, predict yield or establish a safe pesticide application window.

What is still in development?

Generative AI assistance, satellite field analysis, calibrated yield models, machinery connections and regional benchmarks are not live services. They require connected services and field validation before AgriAI will present their output as actionable intelligence.