WEED INTELLIGENCE

See what GreenBeam sees.

GreenBeam uses computer vision and weed-recognition data to distinguish target weeds from grass, flowers, groundcover, and other non-target plants. Weed Intelligence shows the visual data, human annotation, regional context, and recognition workflow behind those decisions.

GREENBEAM WEED INTELLIGENCE · UNIVERSITY OF SYDNEY

From field image to machine understanding.

GreenBeam uses real plant imagery and structured annotations to develop weed-recognition intelligence. This explorer follows the University of Sydney's Broadleaf Weeds in Common Couch dataset through three stages: source imagery, human annotation, and a GreenBeam recognition view.

OFFICIAL DATASET View University of Sydney source ↗
DATASET Broadleaf Weeds in Common Couch
CONTRIBUTOR Guy Coleman · University of Sydney
DATASET SIZE 78 images
ANNOTATIONS 567 bounding boxes
SELECTED SPECIES

Dandelion

Taraxacum officinale
75 IMAGES WITH SPECIES
533 BOXES
WEED-AI
UNIVERSITY OF SYDNEY SOURCE

Start with the real plant.

Real field images show how weeds vary in shape, scale, turf background, and outdoor conditions. This University of Sydney dataset contains top-down images of broadleaf weeds growing in common couch grass in Perth, Western Australia.

EXPLORE THE ORIGINAL IMAGES ↗
DATASET CITATION Guy Coleman (2022). “Broadleaf Weeds in Common Couch.” In Weed-AI.
LICENSE CC BY 4.0
VIEW OFFICIAL DATASET ↗
GREENBEAM RECOGNITION LIBRARY

Find a weed.
Explore the evidence.

Search a weed by common or scientific name to explore the imagery, geographic context, and recognition research GreenBeam brings together around that species.

GREENBEAM SPECIES VIEW

Dandelion

Taraxacum officinale
Asteraceae · Taraxacum
Not classified

Select a plant to see whether GreenBeam treats it as a target weed.

iNaturalist · field imagery GBIF · distribution records Weed-AI · recognition research
GreenBeam brings these evidence layers together into one species-intelligence view: what the weed looks like, where it has been recorded, and what recognition research exists for it.
— iNaturalist observations
— GBIF occurrence records
— Matched Weed-AI datasets

See the weed in the real world.

See where the species is recorded.

Distribution records add geographic context that helps GreenBeam understand where a species is relevant.

Leading record locations

A global view of where public biodiversity records for this species are concentrated.

Species identity

Dandelion · Taraxacum officinale

See the research behind recognition.

GreenBeam connects the selected species to matching Weed-AI research datasets, including dataset context, annotation type, and licensing.

TRACEABLE DATA SOURCES

iNaturalist · GBIF · Weed-AI / University of Sydney. GreenBeam keeps source attribution connected to the records organized into Weed Intelligence.

GREENBEAM LOCAL INTELLIGENCE

Your ZIP. Your weeds.
GreenBeam already knows them.

Weed species vary by geography. Enter your ZIP code and GreenBeam builds a regional weed profile with five species especially relevant to your area.

WEED INTELLIGENCE · GREENBEAM

The data behind the decision.

Back GreenBeam on Indiegogo to support the next stage of precision weed recognition and autonomous weed control.

Dataset attribution: Weed-AI, hosted by the University of Sydney. Human annotations are not GreenBeam AI predictions.