OpenWeedLocator
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geezacoleman
An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
a cropping factor (i.e. % of frame size) should be added as default with numpy array slicing so users can set areas to ignore. Particularly relevant for use under hooded...
The Google Coral is a low cost TPU that plugs into the USB on the Pi. It would be a simple way to add green-on-green detection without the need to...
Improve cross compatibility with the fairly widely accepted standard for ag robotics. I'm very unfamiliar with ROS (though really should be better!), so this is a good project if someone...
instead of activating individual nozzles and requiring many solenoids, adapt the code so the weeds are detected over a single channel. This could be linked to solenoid on a section...
Based on discussions with @williamtsalter and some recent [Raspberry Pi announcements](https://www.raspberrypi.com/documentation/accessories/camera.html), it looks like they will phase out support for the `picamera` module in favour of the open-source `libcamera`. Seems...
Ensure any new algorithms used are working correctly and provide users with more detailed error messages if something is broken on startup. Would need to check: * current working directory...
Found some cheap [Pololu MOSFET](https://www.pololu.com/product/2810) switches that can handle PWM/digital inputs signals and much faster rates of switching than physical relays. Lighter and smaller form factor than the current relay...
Suggestion from Todd Matthews via Twitter to include FP9 GPS for turn compensation. Fairly low cost parts: https://www.sparkfun.com/products/16475 Would require the addition of GPS comms/data retrieval class/functions and inclusion into...
Currently for a multi-OWL system every unit is entirely independent. Communication between OWLs for easy updates/monitoring from a central location and powering on/off would be a considerable improvement. Requires: *...
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An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.