<?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/AD477628-05FD-4AB5-AAEA-102B1D24A0A7" ns1:id="AD477628-05FD-4AB5-AAEA-102B1D24A0A7"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/FCF033A0-8CE7-4749-8F4F-D5884884EB69" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A87EFB20-4333-47AC-981F-E0D1B7EA52F7" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A87EFB20-4333-47AC-981F-E0D1B7EA52F7" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/EFDE32D1-B780-4744-BB27-75AA65E556D9" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/146B46A3-8E3C-454D-ACFC-D8D293491258" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/68D70349-61D6-4927-9A5D-715C49E060B8" ns1:rel="FUND" ns1:start="2024-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10096696</ns2:identifier></ns2:identifiers><ns2:title>Opti-Beef – Commercialisation Launch Readiness</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The OPTI-BEEF project, initiated in May 2019, was awarded substantial funding of &amp;pound;1.2m from UK Research and Innovation, through the Industrial Strategy Challenge Fund. This support was part of a broader initiative to bolster 'Productive and Sustainable Crop and Ruminant Agricultural Systems'.

Over its four-year duration, OPTI-BEEF aimed to create an enhanced decision support system that integrates on-farm whole-life performance monitoring with detailed carcass measurements from precision agriculture technology. This integration was designed for deployment both on-farm and in-abattoirs. The project successfully developed new on-farm technologies for individual animal monitoring, innovative parameter extraction algorithms for both live animal and carcass images, precise grading prediction models, and user-friendly on-farm and abattoir data platforms.

However, to transition to a commercially viable product, further refinements are essential. The project now focuses on real-time image processing to cater to abattoirs' needs and ensuring reliable linkage of cattle IDs to images captured within the fast/complex abattoir environment. Additionally, to achieve commercial licensing, there is a need to enhance the accuracy of grading models on a 15-point scale and devise a reliable method for assessing fat coverage/depth.

Key objectives include:

* Crafting a fully automated software integration solution for reliable image and UKID linkage.
* Developing an algorithm for accurate carcass fat coverage/depth prediction.
* Refining the image processing algorithm to account for real-time abattoir conditions.
* Creating a commercial-grade algorithm for predicting carcass conformation and fat classifications and carcass weight.
* Develop predictions of new carcass traits and explore their use within grading/pricing models.

By the project's conclusion, the goal is to have a robust abattoir imaging product ready for licensing by Defra. This product will be among the few licensed VIA options for UK abattoirs. It will synergise with the recently developed on-farm technology, offering the beef industry an invaluable integrated management tool. This tool aims to facilitate informed decision-making, leading to more animals meeting abattoir requirements, better input management by producers, reduced environmental impact, and increased returns on reared animals. The beef industry's ongoing need for an integrated decision-making platform is addressed by this advanced and innovative solution.</ns2:abstractText></ns2:project>