Plan the route. Prove the fit.
Evaluate manoeuvring space, tracking precision and mission time before a field trial.
Define the operation
Applied configuration. Ready for a repeatable mission.
Check the operating envelope
Challenge the mission
Demonstrate a blocked lane and an explicit operator restart.
At least two points. Crop and boundary checks remain active.
Return home reverses along the recorded trail. Obstacles remain active; no shortcut is assumed.
Which operating strategy meets your requirement?
Compare two turning methods at three speeds. The fastest mission is only useful if it meets the tracking and clearance limits.
Scenario assumptions, not a supplier quotation. The study starts fresh and excludes live interruptions.
Test mission time, row-time share, tracking error and clearance using the same field geometry and controller.
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| Strategy | Speed (m/s) | Time (min) | Row-time share (%) | Max error (cm) | Min clearance (m) | Cost / mission (€) | Assessment |
|---|
Row-time share is moving time on row segments divided by total mission time. It is not measured field efficiency or hectares treated.
Engineering basis & interpretationModel assumptions · equations · references
What the model calculates
Pure pursuit generates a curvature command from a point ahead on the route. Acceleration and heading-rate limits govern the integrated motion; the robot is never snapped to the centreline.
ωL,R = (v ∓ Ωb/2) / r
Headland screening uses turn radius plus the circular body envelope and margin. Crop and field clearance are checked against the oriented rectangular body during the mission.
What the results mean
This is a deterministic planning scenario with ideal rolling, flat terrain, known obstacles and surveyed position. The four-wheel rover is approximated as differential drive. Soil slip, GNSS error, perception uncertainty, terrain forces and implement performance are not modelled.
A passing scenario is a candidate for a controlled field trial. It is not a safety certification, a validated throughput forecast or a substitute for measured platform parameters. Pivot manoeuvres may disturb soil; that effect is not quantified here.
Research context
Coulter (1992) · Pure pursuit implementation ↗
Mier et al. (2025) · Agricultural headland planning ↗
These references explain the methods and operational context. Their field results are not used to calibrate this simulator.
Software notices
ADAPTIVE AGROTECH — FIELDPILOT 3D Third-party notices Three.js r128 and OrbitControls Source: https://github.com/mrdoob/three.js License: MIT MIT License Copyright 2010-2021 Three.js Authors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Original Adaptive AgroTech branding is preserved from the original supplied logo. All field and robot geometry is procedural. No remote dependencies are used.