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

GrassVision - 自动对禾本科作物中的阔叶杂草施用除草剂

• 批准号: 132339
• 金额: $ 7.3万
• 依托单位: SOILESSENTIALS LIMITED
• 依托单位国家: 英国
• 项目类别: BEIS-Funded Programmes
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=132339
• 关键词: GrassVision; Automated; application; herbicides; broad

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 %.

GrassVision将利用成像和精准农业技术开发一种新型的喷雾装置，用于精确施用除草剂到禾本科作物中的阔叶杂草。GrassVision联盟由成像专家（机器视觉中心，UWE），数据分析专家（Aralia有限公司）和精准农业专家（SoilEssentials有限公司）。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。主要的重点将是使用新的3D机器视觉技术来检测杂草。最初，该项目将使用现成的机器在每棵杂草周围的目标区域喷洒，估计目标是减少除草剂使用量约75%。然后，该项目将通过改进围栏本身来确定精确度的限制。使用这种方法，我们希望实现每根杂草5x5cm喷洒面积的理想目标，从而使除草剂的使用量减少90%以上。