Selective, autonomous weed control using sensors to direct microdroplets and lasers (Project Hyperweeding)

使用传感器引导微滴和激光进行选择性、自主的杂草控制（Project Hyperweed）

• 批准号: 101817
• 金额: $ 72.99万
• 依托单位: SYNGENTA LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=101817
• 关键词: Selective; autonomous; weed; control; using

Weed control is becoming increasingly difficult due to herbicide resistant weeds and restriction of herbicides due to higher regulatory demands. In cereals, herbicide resistant blackgrass is a severe problem with no good solution and weed control in minor crops, such as vegetables, is now extremely problematic as older herbicides have been de-registered. There is an urgent need to examine alternative forms of weed control to allow growers to grow crops profitably. A consortium consisting of Syngenta, Harper Adams University, the University of Manchester and G's Fresh has been assembled to undertake a project that will deliver a system which will address these issues. The planned system integrates sensors for real-time crop and weed detection, with targeted micro-droplet application of non-selective herbicides or use of low-power lasers, to create a new and sustainable weed eradication technique. The technology platform will be applicable to all weeds in all crop types and will provide a step change in weed control for UK growers and a large export opportunity.

由于除草剂抗性杂草和由于更高的监管要求而对除草剂的限制，杂草控制变得越来越困难。在谷类作物中，抗除草剂的黑种草是一个严重的问题，没有很好的解决方案，而蔬菜等次要作物的杂草控制现在非常成问题，因为较老的除草剂已被取消注册。迫切需要研究杂草控制的替代形式，以使种植者能够有利可图地种植作物。一个由先正达、哈珀亚当斯大学、曼彻斯特大学和G's Fresh组成的财团已经成立，以开展一个项目，该项目将提供一个解决这些问题的系统。该计划中的系统集成了用于实时作物和杂草检测的传感器，以及非选择性除草剂的靶向微滴应用或低功率激光的使用，以创造一种新的可持续的杂草根除技术。该技术平台将适用于所有作物类型中的所有杂草，并将为英国种植者提供杂草控制的一步变化和大量的出口机会。