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Research project

BeefTwin

An AI digital twin for beef farming

School: Nottingham Business School

Research centre: CBIT

A farmer in a hard hat uses a laptop to fly a drone over a herd of grazing cattle, with location markers above the animals

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.

Aims

  • Reduce greenhouse-gas emissions per kilogram of protein
  • Improve productivity and quality
  • Improve animal welfare
  • Train smarter farmers

Contact

For enquiries about BeefTwin, email cbit@ntu.ac.uk.

BeefTwin in our talks

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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