BeefTwin
An AI digital twin for beef farming
Research projectSchool: Nottingham Business SchoolResearch centre: CBIT
Key facts
- Funder
- UKRI Cross-Research Council Responsive Mode, Round 1
- Value
- £1.2m
- Period
- February 2025 – January 2027
- CBIT role
- Project Lead (NBS-led)
- Status
- Active
Source: CBIT figures registry v1.8 (1 October 2026). Figures and sources →
About the project
BeefTwin is an AI digital twin for beef farming. It is funded by UKRI’s Cross-Research Council Responsive Mode and led by Nottingham Business School.
Contact
For enquiries about BeefTwin, email cbit@ntu.ac.uk.
Aims
- Reduce greenhouse-gas emissions per kilogram of protein
- Improve productivity and quality
- Improve animal welfare
- Train smarter farmers
BeefTwin in our talks
Keynotes and masterclasses
A masterclass took postgraduate agriculture students inside a live UKRI research project
In March 2026 Professor Xiao Ma and a CBIT team walked students on NTU’s MSc Smart Agriculture through BeefTwin.
Related projects
Professor Xiao Ma, CBIT’s Director: BeefTwin £1.2m (Project Lead, Round 1) and EASE £1.2m (Project Co-Lead, Round 2) — the only UK researcher to have won awards in both rounds of UKRI's Cross-Research Council Responsive Mode. EASE is co-led with Dr Iryna Kuksa, NTU School of Art & Design.
Source: CBIT figures registry v1.8 (1 October 2026). Figures and sources →
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