Connect the farm evidence behind every recommendation.
Lab results, field observations, management zones, activities and farm history rarely arrive in one place. SoilBeat turns them into structured farm data and history, so the context behind each decision stays available for analysis, recommendations and follow-up.
Stop rebuilding the story every time you need to make a decision.
A lab result only shows part of what is happening. The useful context may sit in another report, an observation from the field, a previous crop or an activity that happened weeks earlier. SoilBeat keeps that evidence connected to the farm, crop, zone and date it belongs to.
See more context
Bring measurements, observations, activities and farm history into the same record.
Spend less time organising data
Turn reports from different labs and formats into structured information you can work with.
Build on previous decisions
Keep evidence and follow-up available for the next agronomic question.
Turn lab reports into data you can compare and reuse.
Upload supported laboratory reports and turn the measurements inside them into structured data. Connect each result to the right farm, crop and management zone so every new report adds to the same agronomic history.
Connect samples and observations to farms and management zones.
Organise information around the farms and management zones where it actually happened. Connect samples, crops, observations and activities to the right part of the operation instead of keeping them as disconnected records.
Capture what the laboratory report cannot see.
Capture pests, diseases, crop symptoms, soil conditions and sampling observations in the field. Photos, videos and notes stay connected to the farm record. Agronomists can review scout reports and make edits before using the evidence in recommendations.
Keep what happened available for the next decision.
Measurements become more useful when you can see what happened before and afterwards. Keep activities, observations, documents and previous results connected over time so each new decision starts with more context.
Structured context makes the rest of SoilBeat more useful.
Compare results and track trends
Compare measurements, trends, zones and field events.
AI for agronomy
Investigate questions across the information already connected to the farm.
Recommendations and fertiliser plans
Use connected evidence to build formula-based prescriptions, multizone plans and customised advisor recommendations.
Field activities and follow-up
Keep what was recommended connected to what was actually done.
Build the record once. Keep using the context.
Start with your existing reports and farm information. SoilBeat turns them into connected farm data and history you can build on over time.