OpenWeedLocator
Build your own precision weed detection system on a Raspberry Pi with off-the-shelf parts. Open source hardware and software, designed and tested in real field conditions.
The Open Ecosystem
A complete cycle of open innovation that centres farmers as the innovators, driving more efficient development across agtech.
Open Hardware
OWL devices capture images in the field. Built on Raspberry Pi with commodity parts anyone can source.
Open Software
Green-on-brown detection algorithms process images in real-time. Modifiable, forkable, improvable.
AI Models
Trained on diverse data, models improve detection accuracy. Deploy back to OWL devices for better field performance.
Open Data
Noktura stores and shares datasets with rich metadata. Regional diversity enables models that work everywhere.
How OpenWeedLocator Works
A three-stage pipeline for real-time weed detection.
Capture
A camera module captures real-time video of the ground as your equipment moves through the field. Works at typical spraying speeds.
Process
The Raspberry Pi runs green-detection algorithms to identify vegetation against the soil background. Processing happens in real-time.
Actuate
When weeds are detected, signals trigger spray nozzles or other actuators. Spot-spray only where needed, saving inputs.
Why Open Hardware?
Affordable
Commercial spot-sprayers cost tens of thousands. Build an OWL for a fraction of the price using off-the-shelf components.
Repairable
Standard components mean you can fix it yourself. No waiting for technicians or proprietary parts.
Hackable
Mount it on a tractor, robot, bicycle, or drone. Modify the code to suit your specific needs. The platform adapts to you.
Community-supported
Active forums, shared builds, and engineers who help each other succeed. You are not on your own.
Get Started
Everything you need to build your own OpenWeedLocator.
Complete the Circle with Noktura
Noktura is where the OWL community shares its agricultural imagery. Contribute photos from your fields and help build models that work in conditions like yours.