Dr Daniel Leybourne

Research Fellow


Curriculum vitae



Evolution, Ecology and Behaviour. Institute of Infection, Veterinary and Ecological Sciences

The University of Liverpool



PestGPT: Leveraging Large Language Models and IoT for Timely and Customized Recommendation Generation in Sustainable Pest Management


Journal article


Zhipeng Yuan, Kang Liu, Ruoling Peng, Shunbao Li, Daniel Leybourne, Nasamu Musa, He Huang, Po Yang
IEEE Internet of Things Magazine, vol. 8, 2025, pp. 26-33


Cite

Cite

APA   Click to copy
Yuan, Z., Liu, K., Peng, R., Li, S., Leybourne, D., Musa, N., … Yang, P. (2025). PestGPT: Leveraging Large Language Models and IoT for Timely and Customized Recommendation Generation in Sustainable Pest Management. IEEE Internet of Things Magazine, 8, 26–33. https://doi.org/10.1109/IOTM.001.2400036}


Chicago/Turabian   Click to copy
Yuan, Zhipeng, Kang Liu, Ruoling Peng, Shunbao Li, Daniel Leybourne, Nasamu Musa, He Huang, and Po Yang. “PestGPT: Leveraging Large Language Models and IoT for Timely and Customized Recommendation Generation in Sustainable Pest Management.” IEEE Internet of Things Magazine 8 (2025): 26–33.


MLA   Click to copy
Yuan, Zhipeng, et al. “PestGPT: Leveraging Large Language Models and IoT for Timely and Customized Recommendation Generation in Sustainable Pest Management.” IEEE Internet of Things Magazine, vol. 8, 2025, pp. 26–33, doi:10.1109/IOTM.001.2400036}.


BibTeX   Click to copy

@article{yuan2025a,
  title = {PestGPT: Leveraging Large Language Models and IoT for Timely and Customized Recommendation Generation in Sustainable Pest Management},
  year = {2025},
  journal = {IEEE Internet of Things Magazine},
  pages = {26-33},
  volume = {8},
  doi = {10.1109/IOTM.001.2400036}},
  author = {Yuan, Zhipeng and Liu, Kang and Peng, Ruoling and Li, Shunbao and Leybourne, Daniel and Musa, Nasamu and Huang, He and Yang, Po}
}


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