Dr Daniel Leybourne

Research Fellow


Curriculum vitae



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

The University of Liverpool



PEZEGO: A precision agriculture system based on large language models and internet of things for pest management


Journal article


Z Yuan, K Liu, S Li, R Peng, D Leybourne, N Musa, P Yang
IEEE Internet of Things Journal, In Press


Cite

Cite

APA   Click to copy
Yuan, Z., Liu, K., Li, S., Peng, R., Leybourne, D., Musa, N., & Yang, P. PEZEGO: A precision agriculture system based on large language models and internet of things for pest management. IEEE Internet of Things Journal, In Press. https://doi.org/10.1109/JIOT.2025.3586374


Chicago/Turabian   Click to copy
Yuan, Z, K Liu, S Li, R Peng, D Leybourne, N Musa, and P Yang. “PEZEGO: A Precision Agriculture System Based on Large Language Models and Internet of Things for Pest Management.” IEEE Internet of Things Journal In Press (n.d.).


MLA   Click to copy
Yuan, Z., et al. “PEZEGO: A Precision Agriculture System Based on Large Language Models and Internet of Things for Pest Management.” IEEE Internet of Things Journal, vol. In Press, doi:10.1109/JIOT.2025.3586374.


BibTeX   Click to copy

@article{z-a,
  title = {PEZEGO: A precision agriculture system based on large language models and internet of things for pest management},
  journal = {IEEE Internet of Things Journal},
  volume = {In Press},
  doi = {10.1109/JIOT.2025.3586374},
  author = {Yuan, Z and Liu, K and Li, S and Peng, R and Leybourne, D and Musa, N and Yang, P}
}


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