Adaptive AgroTechAGRICULTURAL ROBOTICS
INTERACTIVE 3D LAB
AERIAL–GROUND COLLABORATION

Scout & Act.

Map from above. Approve each target. Act between the rows.

One drone. A coordinated ground fleet.Image review · Route-aware assignment · Lightweight manipulators
3D field workspace
Preparing your fieldBuilding the plants, scouting drone and robot fleet…
READY TO SCOUT

Start a drone survey. Robots wait for your approval.

Needs approval Approved Assigned SkippedDrag to orbit · Scroll to zoom · Click a robot or target
01 Drone survey02 Human approval03 Fleet dispatch04 Targeted action
Robots remain parked until approved targets are dispatched.00:00 sim
Row-aware navigation
⌁
DETECTED CANDIDATES0

Image and local position

✓
HUMAN APPROVED0

Only these enter the task queue

✳
TREATED WEEDS0

After local target confirmation

◇
NOT TREATED0

Rejected or not locally confirmed

YOUR DECISION COMES FIRST

Review the drone’s detections.

Inspect each image and position, select candidates, then approve or reject them.

Simulated RGB evidence · local coordinates in metres
0 selected
⌁The drone has not submitted any detections yet.

Start the survey to collect candidate images and positions.

No tasks can be dispatched without your approval.
DECISIONS & ACTIONS

Mission activity

The activity log will record scouting, approvals and robot actions.

WHY THIS COOPERATION MATTERS

The map guides. The robot verifies.

A high-resolution image provides candidate locations. Position uncertainty remains, so the ground robot checks the plant and refines its target before lowering the tool.

01Route distance includes the row ends. A nearby target across a crop row may take longer to reach.
02The wheels remain in the aisle. The arm reaches between crop plants.
03Lane reservations keep robots apart. A robot may wait even when another task exists.
DRONE DETECTION

Review candidate

Rendered RGB evidence for selected candidate

The image is a simulated close-up of the detected field position. Approval authorizes local verification and treatment only if the robot confirms the target.
SCOUT & ACT

One field. One coordinated mission.

  1. Choose your fleet: three or five compact robots, each with its own arm.
  2. Start the drone survey: it takes off, follows coverage strips, and submits candidate images and local positions.
  3. Review and approve: inspect individual detections or select a batch. Rejected candidates never enter the robot queue.
  4. Dispatch: approved tasks go to available robots according to feasible route distance through lanes and headlands.
  5. Watch closely: select a robot and use Robot close-up. It verifies the plant, extends its arm, treats, retracts, and proceeds to another target.

Some ambiguous detections are deliberately included. Even if approved, they may be skipped after the simulated ground check. Cameras and classifications use known synthetic scene data.

Drag to orbit, scroll to zoom. Space pauses/resumes; R resets; F changes exhibition view. Playback changes animation speed, not route decisions. Switching the fleet size is available before a survey.
MODEL NOTES

A practical workflow, simulated.

Perception: the field, images, candidate scores and ground verification results are synthetic. The application renders actual 3D plants for image review but does not run a trained detector, process live imagery or prove weed-species identification. Candidate locations include an illustrative uncertainty. Camera resolution alone does not determine geolocation accuracy.

Authorization: only explicitly approved targets enter the task queue. A simulated local check confirms the target before treatment. Rejected candidates remain untouched.

Coordination: tasks are assigned greedily using feasible row/headland route length and current robot availability. This is not a globally optimal fleet scheduler. Lane ownership and conservative headland reservations keep ground vehicles apart; a waiting robot is expected behavior.

Navigation: crop rows define protected strips. Robots drive forward or reverse in the aisles and change lanes through headlands. The model uses known geometry, planar motion and deterministic localization; it does not model wheel slip, terrain deformation, localization failure or real navigation sensors.

Manipulation: each illustrative lightweight arm uses analytic position inverse kinematics and a vertical tool. It approaches above the canopy before descending at a target between crop crowns. The treatment animation is not a validated destruction rate, full-mesh contact model, agronomic recommendation or hardware safety assessment.

Coordinates: local E/N values are metres in a demonstration field, not GPS coordinates. This standalone application has no hardware connection. It is suitable for explaining system roles and trade-offs, not commanding field equipment.

Third-party notices
ADAPTIVE AGROTECH — SCOUT & ACT
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
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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.

Adaptive AgroTech branding

The Adaptive AgroTech logo is the original user-supplied PNG, embedded without
alteration. It remains the property of its respective rights holder.
Source supplied by the user:
https://www.adaptiveagrotech.com/TaskEngineers/assets/images/AdaptiveAgroTechLogo.png

Scene assets

The field, plants, drone, compact rovers, lightweight manipulators and textures
are procedural demonstration assets authored for this application. They are
illustrative prototype designs and do not claim endorsement by a robot or
drone manufacturer. No commercial robot CAD assets are bundled in this demo.

The application is an independent educational simulation. It does not connect
to hardware or perform real-world weed detection or treatment.