<?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="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/F1188828-7CFC-4C75-B5BA-9E16F6156F8F" ns1:id="F1188828-7CFC-4C75-B5BA-9E16F6156F8F"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BFE41CB6-4B8A-4082-B96B-3DFEFE793924" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BFE41CB6-4B8A-4082-B96B-3DFEFE793924" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2020-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/3C5A2B5A-2C3F-4F5D-B68A-CBE766F5A8E9" ns1:rel="FUND" ns1:start="2019-06-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">511509</ns2:identifier></ns2:identifiers><ns2:title>University College London and Hummingbird Technologies Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To improve the science, collection protocols, dataset quality and analysis behind the machine learning capabilities to achieve a +95% accuracy on the presymptomatic disease and weed detection algorithms to create commercially scalable products.</ns2:abstractText></ns2:project>