The mechanics of a modern tractor combine hydraulics, electronics, and advanced software. When a component fails during peak season, every hour of downtime impacts production. Augmented Reality (AR) overlays instructions, sensors, and digital twins onto the real machine so that the operator can resolve the issue in minutes, not hours.

Proven Benefits
The implementation of augmented reality solutions in agricultural maintenance has already shown tangible results. From reducing downtime to improving operator training, the data supports its effectiveness. This section presents concrete figures that demonstrate how AR optimizes processes, minimizes errors, and contributes to operational sustainability. Specifically:
- 40% reduction in downtime in operations already using AR to guide repairs.
- 50% fewer errors and 32% faster response when receiving remote assistance via smart glasses.
- Reduced travel for expert technicians, resulting in fuel and emissions savings.
- Improved knowledge retention: immersive training enhances learning by up to 60%.
Components of an AR Solution in the Field
An effective AR solution in the agricultural environment combines robust hardware, specialized software, and advanced connectivity. Each module serves a specific function that, when integrated, enables a guided, efficient, and real-time maintenance experience. Here are the key elements that make up this technological architecture:
Module | Function | Examples |
AR glasses or rugged tablet | Display 3D layers and enable hands-free operation | HoloLens 2, RealWear Navigator |
Digital twin | CAD model of the tractor with inspection points | Vuforia Studio, Unity Reflect |
IoT sensors | Send live telemetry and fault codes | CAN-BUS, NTRIP |
5G / LTE-M connectivity | Low latency for remote video | Private agricultural networks |
AR platform | Orchestrates workflows, integrates manuals and checklists | PTC Vuforia, TeamViewer Frontline |

Real-World Cases
Several leading companies have already embraced AR in their maintenance and technical support processes. This section compiles concrete examples of projects that have achieved significant improvements in intervention times, reduced travel, and showcased innovations at international trade fairs. These cases demonstrate the viability and impact of this technology.
Brand / Project | Use Case | Result |
AGCO + Google Glass | Harvester disassembly guidance | –30% inspection time |
John Deere Connected Support | AR + AI at CES 2025 for autonomous diagnostics | CES 2025 presentation |
Coca-Cola with German suppliers | Remote support on bottling lines | Fewer trips and stoppages |
Steps for an Agricultural SME
AR adoption is not limited to large corporations. Small and medium-sized farms can begin their digital transformation with concrete, scalable actions. This section proposes a practical roadmap to start with a pilot, measure results, and move toward full integration with existing systems.
- Inventory of machines and breakdown frequency
- Digitization of manuals in 3D or annotatable PDF
- Pilot with a critical machine and a set of smart glasses
- Success metrics: Mean Time to Repair (MTTR) and avoided travel
- Scaling: integration with your CMMS and IoT platform
DIGIS3 Support
To facilitate technological transition, initiatives like DIGIS3 offer comprehensive support to SMEs. This section outlines some of the resources available to help any agricultural business incorporate AR with confidence.
- Free digital maturity assessment
- Test before invest laboratory
- Basic and advanced training
- Funding advice
Contact info@digis3.eu to modernize your workshop and keep your machines running at full capacity.