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Agriculture · Applications

Rugged telematics for agricultural machinery

Connected agricultural machinery
Sector
Agricultural machinery
Challenge
No margin for error during harvest windows
Products
Owasys owa5X, owa4X

The problem

Agriculture is undergoing a deep digital transformation. The ability to monitor equipment remotely has moved from an innovative advantage to a cornerstone of farm management.

Farming enterprises commit considerable capital to specialized machinery. Yet within the narrow, high-pressure windows of the growing season, there is virtually no room for error. A neglected warning sign — a subtle shift in hydraulic fluid viscosity, an irregular sensor reading on the planter — can trigger a total mechanical failure. These failures are more than a repair bill: they create “stagnant acreage”, where the inability to move quickly results in missing the optimal weather conditions.

Advanced telematics brings a dual benefit here: logistical clarity, with live data on engine run-times and field coverage that enables surgical scheduling and reduces idle time; and anticipatory servicing, by detecting early anomalies so that shop-based maintenance can be planned on the operator's own terms, rather than in the middle of a harvest breakdown.

Self-propelled sprayer at work

Three implementations

1. Connectivity unit for heavy machinery

One system integrator built a suite that uses the owa5X and owa4X as connectivity units between heavy agricultural machinery and the cloud. This open, Linux-based platform provides real-time monitoring of vital data — from fuel consumption to hydraulic pressure — to keep tractors and harvesters at peak efficiency during critical seasonal windows. The power of the owa5X and the versatility of the owa4X make it possible to deploy edge computing and over-the-air updates: immediate diagnostics and software management without leaving the field.

2. Precision agriculture platform

Another high-impact use case makes the owa5X the connectivity engine of a large precision agriculture platform. The gateway is integrated across a mixed fleet of tractors, combines and sprayers. Thanks to its 64-bit quad-core processor, the platform aggregates and processes high-resolution agronomic data directly on the machine: sub-meter guidance, seed placement analysis across mixed-brand fleets. The IP6K9K enclosure is decisive here, as it allows the unit to be factory-fitted or retrofitted onto machinery exposed to extreme conditions and high-pressure washdowns. With Global LTE Cat 4 and multi-CAN FD interfaces, the platform links the cab to the office and offers unified management — fuel efficiency, engine health, prescription mapping — through a single cloud interface.

Young plant in an agricultural field

3. Telematics controller and remote HMI

The third implementation uses the owa4X as an integrated telematics module, acting as a soft controller and human-machine interface host. What sets it apart here is its ability to offload the HMI: the gateway pushes real-time machine data to mobile devices over dual-band WiFi (2.4 and 5 GHz). The operator can step out of the cab and still follow process control or troubleshooting diagnostics on a tablet — the dashboard moves to wherever it is needed.

Beyond communication, this configuration leverages the built-in 9-axis inertial unit (accelerometer, gyroscope, magnetometer) and an optional lithium-ion backup battery. These are critical for safety: the unit detects and reports a collision or roll-over even if the vehicle's main power system fails. By combining IP67 ruggedness, Global LTE Cat 4, a modular Linux platform and 72-channel GNSS positioning, the gateway becomes a multifunctional tool that also handles over-the-air software distribution.

The result

Engineered with industrial-grade resilience (IP67 and IP6K9K), high processing power and versatile connectivity, the owa5X and owa4X platforms are suited to the demanding environments of modern agriculture — from the thick dust of a harvest to high-pressure steam cleaning. Choosing between the i.MX8 architecture of the owa5X and the proven Cortex A8 efficiency of the owa4X depends on data requirements and fleet size.

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