<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-08-26T13:36:10Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/0B0A389D-714D-4020-9790-3913AC2744E4" ns1:id="0B0A389D-714D-4020-9790-3913AC2744E4"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/2F456155-4EED-46A3-9368-9525D82F3354" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4439F45F-B6EB-499D-BA38-6729E052EEED" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/54A4EBCC-7376-4E01-92E3-AB62DF0BDEBD" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6F40F84F-A941-47E6-99EC-8EAFB6F11292" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/362276FA-9E5A-44ED-B712-530B69176157" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4439F45F-B6EB-499D-BA38-6729E052EEED" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2017-09-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/DF71FFC9-7ACB-497A-836C-42899633E14C" ns1:rel="FUND" ns1:start="2014-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">101817</ns2:identifier></ns2:identifiers><ns2:title>Selective, autonomous weed control using sensors to direct microdroplets and lasers (Project Hyperweeding)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>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.</ns2:abstractText></ns2:project>