Average reduction in water applied per hectare once irrigation runs on measured root-zone demand instead of a fixed calendar.
Real outcomes. Measurable impact.
Precision agriculture has an evidence problem: most claims are averages borrowed from someone else's farm. AGRY OS measures against a baseline recorded on your own operation, using the same instrumentation that drives the recommendations.
Increase in yield potential when stress events are caught in days rather than discovered at harvest.
Improvement across water, fertilizer and energy per tonne produced — the inputs that dominate operating cost.
Model accuracy on recommendations that carry evidence; anything below the threshold is surfaced as uncertain, not hidden.
Reduction in time from an anomaly appearing in the field to a verified corrective action being completed.
Illustrative outcome targets shown for demonstration. Production metrics are calculated from authorized farm data and measured against an agreed baseline.
WHERE THE VALUE COMES FROM
Four mechanisms, not one magic number.
Water applied where it is needed
Uniform irrigation over-waters most of a farm to satisfy its driest block. Block-level moisture and verified valve control let each zone receive its own requirement, which is where the bulk of water savings come from.
Losses caught early
The cost of a pest or disease outbreak scales with how long it goes unseen. Continuous imagery and sensing shrink detection from weeks to days, converting what would be lost tonnage into harvested tonnage.
Inputs matched to soil reality
Fertilizer applied to a blanket schedule is simultaneously wasted in some blocks and insufficient in others. Closed-loop dosing against live EC and pH cuts spend while improving response.
Fewer wasted trips and hours
Crews spend a large share of their day travelling to check things. When the farm reports its own state, that time moves to work that changes an outcome.
HOW WE MEASURE
Every claim traces to farm data.
Baseline first
Before any optimisation begins, AGRY OS records how the farm currently behaves — water per hectare, energy per pump-hour, yield per block, input spend per crop. Nothing is claimed against an imagined starting point.
Measure continuously
The same flow meters, probes and operational records that drive recommendations also measure results. Outcomes are read from the instrumentation, never estimated from a model of itself.
Attribute honestly
A wet season improves yield on its own. Impact analytics separate the effect of an action from the effect of weather and season, so the number that survives is the one you can defend to a board or a lender.
WHAT WE DO NOT CLAIM
The limits, stated up front.
Credibility is worth more than a bigger percentage. Three things we will not tell you:
- That results transfer unchanged between farms. Soil, water rights, crop and climate dominate; a number earned in one estate is a hypothesis in another.
- That AI acts alone. Recommendations are advisory; a person with the right role authorises anything that moves water, chemistry or machinery.
- That every block improves. Some are already well managed, and the honest answer for them is "no change available" — which the reporting will say.
See what the numbers look like on your farm.
We start with a baseline assessment, not a pitch deck.