J. Cutler, B. Li, B. Alhnaity, T. Partridge, M. Thompson, Q. Meng. AI for Sustainable Land Management and Greenhouse Gas Emission Forecasting: Advancing Climate Action. IEEE Conf. on Algorithms, Computing and Machine Learning (CACML 2025).   https://hdl.handle.net/2134/2838155   

B. Li, M. Thompson, T. Partridge, R. Xing, J. Cutler, B. Alhnaity, Q. Meng (2024). AI-powered Digital Twin for Sustainable Agriculture and Greenhouse Gas Reduction. IEEE 21st Int. Conf. on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, IEEE/HONET’24. ieeexplore.ieee.org/abstract/document/10822980 

B. Alhnaity, B. Li, T. Partridge, Q. Meng (2024). A Multi-head Self-attention LSTM Model for UK Methane Prediction. 5th Int. Conf. on Computers and Artificial Intelligence Technology, IEEE/CAIT’24. Best paper of the conference and best presentation.  

T. Partridge, B. Li, B. Alhnaity, Q. Meng (2024).  Utilizing Machine Learning to Understand and Predict Methane Emissions in Cattle Farming with Farm-Scale Environmental and Biological Variables. IEEE Int. Conf. on Computer Applications, IEEE/ICCA’24.

Xing, R, Li, B, Dora, S, Michael, W, Mathie, J (2024) Stacking ensemble machine learning modelling for milk yield prediction based on biological characteristics and feeding strategies. In Ganzha, M, Maciaszek, L, Paprzycki, M, Ślęzak, D (ed) Conference on Computer Science and Intelligence Systems (FedCSIS); annals-csis.org/Volume_39/drp/pdf/9318.pdf .

AI4Net Zero Webinar: AI-powered Digital Twins for Sustainable Agriculture https://www.youtube.com/watch?v=UEEOaTkEUUg

UK’s AI ‘twin’ will use big data to show the way to net zero