
Developing modern agricultural machinery requires more than laboratory testing. Engineering teams need reliable visibility into how machines perform in real working conditions across remote farms, varying climates, and long duty cycles.
The ODOS CAN-to-Cloud data platform enables agricultural equipment manufacturers to remotely monitor prototype machines, capture real-world CAN data, and accelerate field validation across distributed test fleets.
Installed directly on the machine CAN network, ODOS loggers capture high-resolution data from ECUs controlling engines, transmissions, hydraulics, sensors, and implements. This data is securely transmitted to the ODOS CloudSoft platform, where engineering teams can visualise, analyse, and diagnose machine behaviour remotely.
With ODOS, engineering teams gain real-time visibility into machines operating anywhere in the world.

Agricultural equipment manufacturers face several challenges when validating machines in the field:
Capturing reliable real-world machine data is critical to efficient product development.
ODOS provides a complete CAN-to-Cloud platform designed to capture, stream, and analyse machine data during development, testing, and validation.
ODOS loggers connect directly to machine CAN networks to capture data from engines, powertrains, hydraulic systems, sensors, and electronic control units. Using secure cellular connectivity, this data is streamed to the ODOS CloudSoft platform, enabling engineering teams to monitor machines remotely and analyse system behaviour in real time.
This allows engineering teams to understand how machines perform in real operating conditions without needing to be physically present at the test site.

ODOS solutions support multiple stages of agricultural machinery development:
Prototype Field Testing
Engineering teams deploy ODOS loggers on prototype tractors, harvesters, and implements to monitor machine behaviour during real-world field trials.
Durability and Reliability Testing
Operating hours, load conditions, and duty cycles can be captured to support accelerated durability testing and reliability validation.
Powertrain and Hydraulic System Validation
Detailed CAN data enables analysis of engine performance, hydraulic system behaviour, and ECU control strategies during demanding field operations.
Distributed Test Fleet Monitoring
Engineering teams can monitor multiple machines across different farms or test sites from a single cloud platform.
Remote Diagnostics and Issue Investigation
When issues arise during testing, engineers can remotely analyse machine data to identify root causes and determine corrective actions.
Leading agricultural machinery manufacturers already use ODOS to capture real-world machine data during development and field validation.
Agricultural machinery manufacturer KUHN Group deployed ODOS cloud-connected loggers across its test fleet to remotely monitor machine performance during field testing.
Within the first week of deployment, engineering teams identified a developing issue that allowed them to prevent an unnecessary test trip, saving valuable development time and cost.
👉 Read the KUHN Case Study to learn how ODOS supports agricultural machinery development.
ODOS enables agricultural equipment manufacturers to capture real-world machine data, accelerate development programmes, and improve machine reliability.
If you are developing the next generation of agricultural machinery and want better visibility into how your machines perform in the field, ODOS can help.

Across modern industrial vehicles and machines, engineering teams need reliable access to real-world data to validate designs, diagnose issues, and continuously improve performance.
ODOS provides a complete CAN-to-Cloud data platform that combines rugged vehicle data loggers, secure connectivity, and powerful cloud analytics in one integrated system. From prototype development and field validation to fleet monitoring and long-term performance analysis, ODOS enables engineering teams to capture the data that matters, wherever machines operate.
With ODOS, organisations gain real-time visibility into their machines, accelerate development cycles, reduce downtime, and make better engineering decisions based on real operational data.
Contact us today to discuss your project or visit our contact page to get in touch.