Condition Monitoring · AGRICULTURE
Irrigate to the soil, not to the schedule.
Fixed-interval irrigation either over-waters healthy fields or under-waters stressed ones — and water is rarely the cheap, abundant input it used to be. The XMPro AO Platform fuses soil-moisture telemetry, weather forecasts and crop models to schedule irrigation by field condition, conserving water while protecting yield.
What's getting in the way today.
Irrigation decisions sit at the intersection of crop physiology, weather and water scarcity. Three pressures compound:
Over- and under-watering
Without continuous soil-moisture data, irrigation either wastes water on healthy fields or leaves stressed fields short — both hurt yield and operating cost.
Constrained water supply
Water allocation is increasingly contested. Defensible per-field use becomes a regulatory and operational requirement, not just a sustainability story.
Yield variance from inconsistent watering
Crop health and final yield track closely with watering precision — and inconsistency compounds across the growing season.
Precision Irrigation — how it works.
Continuous soil-moisture telemetry fused with weather and crop-model context, driving per-field irrigation schedules that protect yield without wasting water.
The platform integrates IoT soil-moisture and temperature sensors across fields with weather forecasts, satellite imagery and crop-stage models. A digital twin of each field gives a virtual representation that mirrors live conditions, and ML models analyse the combined data to predict optimal irrigation timing and quantity per field. Threshold breaches — soil moisture below crop-specific intervention levels — trigger ranked recommendations with watering quantity, urgency and equipment assignment attached. Operators see colour-coded field health (optimal, moderate, low moisture) with drill-down into individual fields, and the platform supports automated irrigation control where the infrastructure allows it.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Water used where it matters
Per-field scheduling stops the waste of blanket irrigation while ensuring stressed fields get watered when they need it.
Defensible allocation
Continuous per-field telemetry turns water use into auditable data — useful for both regulators and internal sustainability reporting.
Lower yield variance
Consistent moisture management across the field reduces the within-season variability that erodes final harvest.
Built for these industries.
Other solutions you might explore.
Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
