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

杂草的控制变得越来越困难，因为除草剂抗性杂草和限制除草剂由于更高的监管要求。在谷物中，抗除草剂的黑草是一个严重的问题，目前还没有很好的解决办法，而在蔬菜等次要作物中，由于旧的除草剂已被注销，杂草控制现在也非常成问题。现在迫切需要研究控制杂草的替代形式，以使种植者能够种植有利可图的作物。一个由先正达、哈珀亚当斯大学、曼彻斯特大学和G’s Fresh组成的联盟已经组建起来，承担一个项目，将提供一个解决这些问题的系统。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定向微滴应用或低功率激光，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的所有杂草，并将为英国种植者提供杂草控制的阶段性变化和巨大的出口机会。

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.