agmeo is the decision layer. It fuses climavi ground-truth measurements with satellite imagery, soil data, weather forecasts and machine and farm-software records, then applies Liebig's Law of the Minimum zone by zone: which single factor is actually capping yield in this part of this field — water, nitrogen or something else — and what does correcting it return per acre.

Outputs are built to be acted on, not framed: variable-rate nitrogen and seeding prescriptions, irrigation scheduling and valve control, zone benchmarking against your own field history, and agronomic plus economic KPIs in dollars per acre.

Because every recommendation is checked against measured soil data, the model is corrected on your fields rather than on a regional average, and it improves each season.

For consultants and retailers agmeo runs multi-client: one platform, separate farm accounts, retained local agronomic knowledge. Grower data stays with the grower — no equipment-brand lock-in.