How TC-GEO, TC-SC, and TC-BAS data from six major equipment brands feeds AI-driven prescription accuracy and yield prediction.
ISOBUS is the standard that lets tractors, sprayers, and planters from different manufacturers talk to a common terminal, but the data those machines generate (TC-GEO geo-referenced task data, TC-SC section control, TC-BAS basic tractor data) is frequently siloed by brand, format, and export tooling.
We build ingestion pipelines that normalise ISOBUS data across the major equipment brands into a single spatial schema, so a prescription map generated from one manufacturer's planter data can be cross-referenced against another manufacturer's yield monitor without a manual export-and-reformat step.
Once the data is unified, it becomes an input to prescription-accuracy modelling and yield prediction: the machine already recorded exactly where it applied inputs and at what rate, which is a far more reliable ground truth than a generic zone map.
The result is field intelligence that reflects what actually happened in the field, not just what the plan said should happen.
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