The WEEDINATOR uses advanced, super accurate GPS to navigate along farm tracks to the start of the beds of vegetables with an accuracy of about plus/minus 20 mm. Once on the bed, accuracy needs to be even greater - at least plus/minus 5 mm. 

Here, we can use object recognition cameras such as the Pixy2 which can perform 'on chip' line recognition without taxing our lowly Arduinos etc.

This test was done in ideal, cloudy conditions and eventually the lighting would need to be 100% controlled by extending the glass fibre body of the machine over the camera's field of view and using LEDs to illuminate the rope. Other improvements include changing the rope colour to white and moving the camera slightly closer to the rope.