See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

Condition Monitoring · AGRICULTURE

Air quality, monitored as a farm-level operating signal.

Air pollutants quietly cut yield, acidify soil and expose farm workers to risk — and trigger compliance reporting whether the farm has measured anything or not. The XMPro AO Platform brings IoT-sensor telemetry, predictive analytics and compliance reporting under one operational picture so air quality becomes a managed signal, not a downstream surprise.

THE CHALLENGE

What's getting in the way today.

Agricultural operations are increasingly exposed to air-quality pressure across four fronts:

ISSUE 01 OPEN

Crop health and yield

Exposure to air pollutants suppresses photosynthesis and stresses crops — degrading both yield and quality long before the damage is obvious in the field.

ISSUE 02 OPEN

Environmental compliance

Air-quality reporting obligations are tightening, and the cost of non-compliance — financial and reputational — is rising.

ISSUE 03 OPEN

Soil degradation

Airborne pollutants drive soil acidification and nutrient imbalance, compounding crop pressure over multiple growing seasons.

ISSUE 04 OPEN

Worker safety

Farm workers in zones with poor air quality face health risks that go unmanaged without continuous monitoring.

THE SOLUTION

Air Quality Monitoring for Agriculture — how it works.

A continuous picture of air quality across the farm, fed by IoT sensors and tied to predictive analytics, customisable dashboards and automated compliance reporting.

Real-time data integration Predictive analytics Anomaly detection Operational dashboards Audit & governance

IoT sensors deployed across the farm feed continuous air-quality telemetry — pollutants, particulate levels, weather and soil conditions — into the platform. Predictive analytics models aggregate the streams and forecast air-quality issues before they reach crop, soil or worker. Customisable dashboards surface real-time state and predicted trends to farm managers, with threshold-driven alerts routed to the right responder. Compliance reporting is generated automatically from the same telemetry, so the evidence trail for regulators is a by-product of the operational picture rather than a separate exercise.

SEE IT IN YOUR ENVIRONMENT

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 CHANGES

What this looks like in operation.

Proactive crop protection

Pollutant trends are flagged before they suppress yield, so mitigation runs ahead of crop damage rather than after it.

Regulatory compliance

Automated reporting turns environmental compliance into a by-product of normal operations rather than a periodic project.

Healthier soil and workers

Continuous monitoring exposes soil-acidification and worker-exposure risks while they’re still recoverable.

DEPLOYED IN

Built for these industries.

PRODUCTION-PROVEN

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.

VERIFIED RESULT — OIL & GAS
$16M Saved every year
18% Reduction in field service trips
95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING
$10M Saved every year
30% Reduction in conveyor downtime
9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE
6 Sites with in-house adoption
1,000+ Assets monitored
35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable

SCOPE FOR YOUR SITE

Let’s scope this for your operation.

Talk to an XMPro engineer about your environment, your starting HAS level and the lever that matters most — or browse more solutions.