<?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="2026-09-03T10:35:59Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/230E5094-C19C-4137-B1B6-49EF73628836" ns1:id="230E5094-C19C-4137-B1B6-49EF73628836"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/14EBA809-B764-4B8E-B942-F9F3D539E1A2" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/14EBA809-B764-4B8E-B942-F9F3D539E1A2" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C7A2A5EE-2239-45AD-9B2B-A17A74258B7F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E04097D1-7386-4BEC-AB80-85F0EEB80CB2" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9213669F-8830-4F99-91CE-74F1851F33C4" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2018-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/20838684-A548-461B-AF71-CD325A0F8511" ns1:rel="FUND" ns1:start="2013-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">101392</ns2:identifier></ns2:identifiers><ns2:title>Sub-Surface Produce Imager Utilising Microwave Technologies</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Every year a portion of harvested fruit and vegetables do not reach the supermarket shelves as a result of wastage created by rigorous quality control testing or through incorrect classification during the process. The problem stems from the inability for a tester to observe the internal status of a fresh product without resorting to cutting and destroying the item. This project will use innovative and safe technology from the security and medical imaging markets to create a bench top and factory installed imager capable of classifying fresh produce without the need for destructive testing. With the retail sales value of fruit and vegetables in the UK at &amp;pound;10.8 bn and 8 million tonnes of raw produce, even a fraction of percentage savings produce a significant impact.</ns2:abstractText></ns2:project>