GrassVision - Automated application of herbicides to broad-leaf weeds in grass crops

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GrassVision will use imaging and precision agriculture techniques to develop a novel spray apparatusfor precision application of herbicides to broad-leaf weeds in grass crops. The GrassVision consortiumconsists of imaging experts (Center for Machine Vision, UWE), data analysis experts (Aralia Ltd.) andprecision agriculture experts (SoilEssentials Ltd.). Sustainable production requires weed control methodsto reduce herbicide use to comply with current and future EU legislation. The primary focus will be todetect weeds using novel 3D machine vision techniques. Initially the project will use off-the-shelfmachinery to spray a targeted area around each weed, with an estimated aimed decrease in herbicideuse of around 75%.The project will then look to determine the limits of precision by refining the boomitself. Using this approach, we hope to achieve an ideal target of a 5x5cm spray area per-weed,providing potential reductions in herbicide use in excess of 90 %.