Autonomous farm machinery — Lincolnshire, UK

The tractor that listens to its own implement.

AgTrac pairs steer-by-wire autonomy with real-time implement monitoring — so the machine responds to what's actually happening behind it, not just where it's driving.

Schematic showing RTK and sensor guidance at the top and implement signals on the left feeding the vehicle master, which issues control decisions at the bottom. RTK / SENSORS Position & obstacle data IMPLEMENT CAMERA Visual monitoring IMPLEMENT SENSORS Load & condition VEHICLE MASTER STEER-BY-WIRE Path correction SLOW / HALT On implement fault

Sense → decide → act — updated every control cycle

Overview

An autonomous tractor, built for real fieldwork — not just for show.

Fieldwork is essential, exhausting, and bound by daylight and driver fatigue. AgTrac changes that by automating the entire operation.

It steers precisely, manoeuvres safely around obstacles, and actively monitors the implement it pulls. It doesn't just drive — it manages the job flawlessly, day or night.

At a glance
GuidanceCentimetre-accurate GPS
SteeringFully autonomous
SafetyCertified sensor backstop
Top speed12 kph
Implement awarenessReal-time monitoring

Progress

Where the project stands today

Now
Detailed design
Steering, drivetrain, safety architecture and implement-monitoring system fully specified.
Next
Prototype build
Control system integration, bench validation, and platform assembly.
Then
Field trial
On-farm validation of guidance, safety case, and implement-fault response.
In development — currently pursuing collaborative R&D funding to move from design into prototype and field trial.
How it listens

The implement isn't just towed. It's part of the control loop.

Most autonomy stops at navigation — the vehicle knows where it is, not what it's doing. AgTrac closes that gap by feeding implement condition straight back into the same controller that steers the machine.

  • Tool wear & damage Load and pressure are monitored continuously across the implement — a sudden change flags wear or damage before it's noticed any other way.
  • Blockages Depth and load deviation is used to infer a blockage or fault, rather than waiting for a visible symptom in the finished work.
  • Application rate Where the implement applies seed, fertiliser, or spray, rate sensing checks actual output against target rate — flagging under- or over-application as it happens.
  • Vehicle response The vehicle master can slow, halt, or flag a pass for rework based on implement status — the same controller that handles steering handles this decision.

Collaborate

Interested in AgTrac?

The project is at the detailed design stage and moving toward prototype and field trial. We're actively talking to a small number of partners across three groups.

Farmers & growers

Host a field trial

Fewer passes, more consistent results, and less reliance on scarce skilled labour for the jobs that are hardest to staff. We're looking for land and operating conditions to validate against.

Research partners

Work on the hard problems

Safety-case development, ODD definition, and implement fault-detection are open technical questions — a real-world testbed for robotics and controls research.

Investors

Back the next stage

The technical foundation — drivetrain, steering, and safety architecture — is already specified. Funding is being sought to move from design into prototype and trial.

Get in touch

Whichever of the above fits you best, we'd like to hear from you.

info@agtrac.co.uk