Irrigation & water management
Decide how much to irrigate with data: ETc, soil, weather, pumps.
What hurts today
Irrigation is decided by habit: 'we always irrigate 3 hours on Mondays'.
Pumps run off their best efficiency point and nobody notices.
Soil moisture sensors are installed but their data lives in a different app.
Pump electricity spend only shows when the monthly bill arrives.
What the module does
- Irrigation schedule per sector based on ETc, weather and soil rules.
- Live readings of soil moisture, pressure and flow sensors with alerts.
- Irrigation event logbook with hours, volumes and operator on duty.
- Water efficiency per sector: applied mm vs. crop demand.
- Electrical monitoring of pumps (kWh, hour-meter, BEP) with savings diagnostic.
- Water and energy footprint report for certifications and customer reports.
Why irrigation should be decided with data, not habit
Chile has carried over a decade of water deficit, and in zones like the Valparaíso Region it's water, not land, that caps production. Deciding irrigation by habit —"we always irrigate 3 hours on Mondays"— leaves 15 to 25% of water and energy savings on the table that can be captured with no impact on yield.
The problem isn't a lack of sensors —many farms already have them— but that the data lives scattered: moisture in one app, flow in another, electricity spend only when the bill arrives. Without a single view crossing crop demand, field readings and pump consumption, irrigation stays intuition with a spreadsheet.
The real problem (no marketing)
In most Chilean farms, water and energy are managed blind until something fails or the bill arrives. The breaking points repeat season after season:
The underlying cost is twofold: wasted water and over-paid energy, two line items that weigh on per-block costing and are rarely attributed to the right block. Without measuring water efficiency or electricity use per sector, irrigation is the most expensive black box on the farm.
How this module solves it
The module builds an irrigation schedule per sector from the crop's actual demand —evapotranspiration, or ETc, in millimeters per hectare— and contrasts it with live moisture, pressure and flow readings. ETc is computed from reference evapotranspiration and the crop coefficient:
ETc = ET0 × KcOn that basis, irrigation stops being a habit and becomes a per-sector decision:
Schedule per sector
The module proposes mm to apply per sector based on ETc, weather and soil rules, not the clock.
Live sensors
Moisture, pressure and flow enter the same view with alerts when a sector drops below threshold or a pump runs out of range.
Efficiency and pumps
It compares applied mm against demand and monitors kWh, hour-meter and BEP of each pump, with a savings diagnostic.
Regulated deficit irrigation stops being theory: you can apply less water in non-critical stages backed by data, and electricity use is allocated to the right block so cost per block reflects the real water and energy spend.
Integration with your current stack
Soil-moisture sensors already exist in many Chilean farms; the module doesn't ask you to replace them, but to bring their data into a single irrigation view. It connects to the platforms you already run:
Drop Control AgroMatch GlobalG.A.P. Power BIIrrigation shares block, sector and season as master data with the rest of the platform, so the plant nutrition & health program —especially fertigation— reads from the same source, not a separate spreadsheet.
From data to savings in one season
In water-constrained zones like the Valparaíso Region or Chile's near-north, the 15-25% water and energy savings don't appear at once: they build over the season, tuning sector by sector as the crop's demand shifts. The module makes that curve visible instead of leaving it to intuition.
Early in the season the crop coefficient (Kc) is low and ETc demand is too; irrigating as if at peak production is pure waste. The module adjusts the depth per sector by phenology, so you apply less when the crop asks for less. In non-critical stages, regulated deficit irrigation lets you cut water deliberately, backed by sensors, without hurting yield and even improving quality traits like soluble solids.
The other front is the water nobody measures: leaks, sectors over-irrigating from a miscalibrated valve, inherited schedules nobody revisited. Alerts for moisture below threshold and flow out of range surface those blind spots in hours, not when the block already shows water stress.
At season close, the water and energy footprint isn't an exercise for the audit: it's the record of which sectors captured the savings and which are pending for next time. That season-over-season comparison, allocated to the block, is what turns irrigation from an assumed fixed cost into a margin lever that actually moves.
There's a benefit beyond the electricity bill: in a country where water is a contested resource and usage rights are under pressure, irrigating efficiently is also a license to operate. Export customers ask for sustainability reports, certifications assess resource use, and an operation that can show applied mm per hectare matched to demand arrives at those conversations with evidence, not good intentions. The same data that lowers cost backs the water story in front of the market — and that knowledge stays in the system, not in the head of an irrigator who one day leaves.
Metrics you'll move
The module moves two metrics that hit the margin directly: applied mm per hectare versus ETc demand (water efficiency) and kWh per cubic meter pumped (energy efficiency). On top of them sits the 15-25% water and energy savings the operation can capture without touching yield.
Each indicator enables a decision:
| KPI | What it answers | Decision it unlocks |
|---|---|---|
| Applied mm vs. ETc | How much you irrigated vs. what the crop demanded | Which sectors to adjust to close the over-irrigation gap |
| kWh per m³ | How much energy it costs to move each cubic meter | Which pump to inspect or reschedule for running off-BEP |
| Moisture below threshold | Which sectors are at risk in the last 24 h | Where to prioritize irrigation before water stress |
That consumption, allocated per sector, stops being a blurry monthly total and enters as real cost in the right block.
AgentMind for this module
Sample questions you can ask and get answered in seconds.
- > How much did we irrigate block B3 this week vs. ETc demand?
- > Which pump is consuming the most kWh per m³ this season?
- > List the sectors with moisture below threshold in the last 24 hours.
Connect to your stack
What changes in your operation
15-25% water and energy savings with no impact on yield.