<?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/3B3786C8-AE8D-4DAC-8602-D0B271F0B02A" ns1:id="3B3786C8-AE8D-4DAC-8602-D0B271F0B02A"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/3FDA3E4F-121A-48A1-B65E-8A2985004D56" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/1C06367A-404C-404D-8D85-A90E4F80CDCE" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/1C06367A-404C-404D-8D85-A90E4F80CDCE" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2014-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/B442F162-95A3-41EF-AF71-8EA4C4419B15" ns1:rel="FUND" ns1:start="2014-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">131692</ns2:identifier></ns2:identifiers><ns2:title>Integrated decision support for agricultural production</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>This project will build a demonstrator to support crop yield improvement by integrating and exploiting plant phenotyping and ‘omics data. This is a strategically important area of unmet need both in the UK and globally, where optimising the combination of inputs, treatments, doses &amp;amp; timings to apply to specific crop strains in a specific growing environment is a massively complex challenge. We will build a semantic knowledge graph of crop strains, traits (both genomic variant and from integrated non-destructive phenotyping technologies), yields, soil conditions and wider growing environment including remote sensing data. We will compile this knowledge model and deploy it as a demo tablet app with a simple decision support UI to allow non-IT specialist growers to identify specific combinations of treatments that enable them to optimise crop yields and minimise wastage of inputs.</ns2:abstractText></ns2:project>