<?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/94CCED13-093F-4BE4-BE4F-B812279E7B3D" ns1:id="94CCED13-093F-4BE4-BE4F-B812279E7B3D"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/C6739676-8EBE-4CB6-B383-6B370947C20E" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/3BF846E8-E54C-4D21-AFB9-B81CA58DF919" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/3BF846E8-E54C-4D21-AFB9-B81CA58DF919" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/451EAA46-1E2F-4C88-8DE5-F059C0D84B57" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/303F587A-241A-4D88-B74A-32792BB8FBEE" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2026-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/BFE4EE60-79CB-4E60-AAA1-545CC406DCAF" ns1:rel="FUND" ns1:start="2024-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10116569</ns2:identifier></ns2:identifiers><ns2:title>A-BioMe: Automated BIOdiversity MEtrics network enhances biodiversity surveillance</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The A-BioMe project is a collaborative industrial research project to extend the use of Agrisound automated insect monitoring system to give wider biodiversity, landscape and environment information. The envisaged product will be the first fully-automated acoustic landscape monitoring system - a maintenance-free device to be deployed in remote locations and uses bespoke audio analysis algorithms to automatically generate and report a range of biodiversity metrics. These metrics will be combined and contextualised as part of a wider surveillance network made accessible via Agrisound web-based platform supported by unique AI-driven environmental characterisation.</ns2:abstractText></ns2:project>