Taylor Geospatial Engine and the core team of the Field Boundaries for Agriculture (fiboa) project are happy to share another technical update from Matthias Mohr and the Cloud-Native Geospatial Foundation on the continued development of open source tools to accelerate innovation in AI and computer vision models to extract field boundaries from earth observation imagery.
“In May, we discussed Field Boundaries for Agriculture (fiboa) and the fiboa ecosystem and mentioned that there is a new converter tool, which can take non-fiboa datasets and help you turn it into fiboa datasets. Back then we had 5 very similar datasets converted. In the meantime, we’ve converted additional datasets and improved the converter tool. Today, we’d like to give an update on the status and show how easy it is for you to make your field boundaries more useful by converting and providing them in a “standardized” format.
Seven people are currently working on creating more than 40 converters:
- ~20 converters are fully implemented and easily usable
- ~20 converters are currently in development and available in a draft version
How does it work that we can convert so many datasets so easily?”