Part of the OpenWeedLocator Ecosystem

Share Agricultural Images for Better Weed Detection

Upload field photos, add crop details, and contribute to open datasets that train smarter farming tools. Built by farmers and researchers for the agricultural community.

The Complete Open Ecosystem

From hardware in the field to AI in the cloud. Everything you need for precision weed management, openly available.

Open Hardware

DIY weed detection devices built on Raspberry Pi. Affordable, hackable, and designed for real farm conditions.

OpenWeedLocator

Open Software

Green-on-brown detection algorithms that run in real-time. Simple enough to modify, powerful enough for production.

View on GitHub

Open Data

Every photo tells a story. Capture date, location, crop type, growth stage - these details make your images useful for research and AI training.

Noktura Platform

AI Models

Train and deploy weed detection models. From simple green detection to advanced deep learning, tuned for your conditions.

Coming Soon

Full circle: Farmers capture images in the field, share data on Noktura, researchers train better models, those models improve OWL devices, and farmers benefit from more accurate detection. Everyone wins.

1
Public Datasets
273
Total Images
1
Crop Types
0
Regions

Why Upload Your Images?

Your field photos are more valuable than you think

Train Better AI

Help train weed detection models that actually work in your conditions

Organize Your Data

Keep your field documentation organized with searchable dates, locations, and crop info

Share with Teams

Collaborate privately with research partners before publishing

Access Open Datasets

Download community datasets from different regions and crop types

Why Locally-Driven Technology?

Agriculture is local. Weeds, crops, and conditions vary by region. Technology that works everywhere needs data from everywhere.

Fits Every Niche

From broadacre wheat to specialty vegetables, from dry Australian plains to wet European fields. Local data trains models that work in your conditions.

Farmer-Friendly

Technology should adapt to farmers, not the other way around. Simple interfaces, practical defaults, and designs tested in real field conditions with sun glare and dirty hands.

Community-Owned

No vendor lock-in. No subscription traps. Open source means the community controls the technology, and improvements benefit everyone.

Join the Community

Whether you farm, research, or tinker, there's a place for you

For Farmers

Build your own weed spotter for a fraction of commercial costs. Share imagery from your fields to improve detection for your specific weeds. Get technology that works for your operation.

  • DIY OWL hardware kits
  • Easy image upload & sharing

For Researchers

Access diverse datasets with standardized AgContext metadata. Validate models against real-world conditions. Publish reproducible research with citable datasets.

  • Rich metadata (BBCH, weather, soil)
  • Bulk download with provenance

For Teams

Collaborate on data collection across institutions. Share privately within your group before publishing. Manage access and track contributions.

  • Group management & sharing
  • Download tracking & quotas

Ready to get started?

Join the global community building open agricultural technology. Whether you want to build hardware, share data, or train models - start here.