PROOF LAB · WORKING TECHNOLOGY
Don't take our word for it.
See GreenBeam work. See how it's tested. See the data behind its intelligence.
GREENBEAM IN ACTION
FIELD TESTS
WEED INTELLIGENCE
ENGINEERING
Four ways to see GreenBeam work.
Every proof category below contains real demonstrations, structured test records, annotated AI data, and engineering rationale — because a claim is only as good as the evidence behind it.
DEMONSTRATIONS
GreenBeam in Action
Real product demonstrations of AI weed recognition, precision targeting, autonomous mobility, obstacle avoidance, boundary behavior and docking. No CGI used as evidence on this page.
STRUCTURED TESTS
Field Tests
Structured tests with documented setup, video evidence and recorded results. Test categories span vision, plant discrimination, terrain, slope, RTK coverage, LiDAR obstacle avoidance, virtual boundaries, docking, weather response and precision targeting.
DATA · ANNOTATION · RECOGNITION
Weed Intelligence
Explore the visual data behind GreenBeam weed recognition. See source imagery, human annotation and GreenBeam model interpretation side by side. GreenBeam uses weed-recognition data available through Weed-AI, hosted by the University of Sydney.
[CUSTOM CODE — THREE-VIEW WEED INTELLIGENCE EXPLORER WILL EMBED HERE AS A PREVIEW TILE]
TECHNICAL RATIONALE
Engineering
Inside the decisions behind GreenBeam — why edge AI, why RTK and LiDAR together, why all-wheel drive with in-wheel motors, how plant recognition works, and how precision targeting is achieved. Technical depth written to be understood.
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