AI powered agriculture equipment uses data from sensors in combination with programming to train a computer to make decisions based on millions of data-points.
For example, this solar-powered farming equipment was developed by the Universities of Guelph, Prince Edward Island and the Government of New Brunswick, and was first used to grow potatoes across Atlantic Canada. Researchers can re-train the robot to help different crops and locations, like soybeans in Ontario.
Computer Vision
The robot uses cameras to capture every angle of soil and plants. The robot uses AI to process millions of data points to differentiate crops from invasive species for farmers to remove.
Disease-Identification
Once invasive species are removed, the robot helps optimize crop growth by monitoring things like heat, soil nutrients, and water values. It uses these data-points to identify healthy plants, and potential diseases in a crop.
Geo-Tagging
Once the robot identifies an area that needs attention, it tags the plant’s location on a map, which farmers can use to locate the plant within 0.5 centimetres. This allows farmers to map and remove diseased plants once they’re identified by the robot.