<?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="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/925FFB86-62AB-42E3-8D25-BE7FD69E88F9" ns1:id="925FFB86-62AB-42E3-8D25-BE7FD69E88F9"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/70DE3B80-2CE6-47C5-940D-466B40530B05" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C84AA537-B8AA-4DA7-AF50-B7ECA490F2DE" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C84AA537-B8AA-4DA7-AF50-B7ECA490F2DE" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-02-28T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/753A21B8-80EF-45AD-A62E-F00B52EDF23A" ns1:rel="FUND" ns1:start="2023-03-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10025495</ns2:identifier></ns2:identifiers><ns2:title>Loughborough University and MoA Technology Limited KTP 21_22 R4</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop an automated Artificial Intelligence weed and growth inspector for the generation of safe and effective herbicides.</ns2:abstractText></ns2:project>