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

GrassVision将利用成像和精准农业技术开发一种新型喷雾设备，用于精确地将除草剂应用于草类作物中的阔叶杂草。GrassVision财团由成像专家(UWE机器视觉中心)、数据分析专家(Aralia Ltd.)组成。和精准农业专家(SoilEssentials Ltd.)。可持续生产需要杂草控制方法，以减少除草剂的使用，以符合当前和未来的欧盟立法。主要的焦点将是使用新的3D机器视觉技术来检测杂草。最初，该项目将使用现成的机械在每一种杂草周围的目标区域喷洒，预计目标是减少约75%的草药使用量。然后，该项目将通过改进杂草本身来确定精确度的极限。使用这种方法，我们希望实现每个杂草5x5厘米的喷洒面积的理想目标，潜在地减少超过90%的除草剂使用。

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 %.