Dr Daniel Leybourne

Research Fellow


Curriculum vitae



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

The University of Liverpool



An effective farmer-centred mobile intelligence solution using lightweight deep learning for integrated wheat pest management


Journal article


Shunbao Li, Zhipeng Yuan, Ruoling Peng, Daniel Leybourne, Qing Xue, Yang Li, Po Yang
Journal of Industrial Information Integration, In Press, 2024


Cite

Cite

APA   Click to copy
Li, S., Yuan, Z., Peng, R., Leybourne, D., Xue, Q., Li, Y., & Yang, P. (2024). An effective farmer-centred mobile intelligence solution using lightweight deep learning for integrated wheat pest management. Journal of Industrial Information Integration, In Press. https://doi.org/10.1016/j.jii.2024.100705


Chicago/Turabian   Click to copy
Li, Shunbao, Zhipeng Yuan, Ruoling Peng, Daniel Leybourne, Qing Xue, Yang Li, and Po Yang. “An Effective Farmer-Centred Mobile Intelligence Solution Using Lightweight Deep Learning for Integrated Wheat Pest Management.” Journal of Industrial Information Integration In Press (2024).


MLA   Click to copy
Li, Shunbao, et al. “An Effective Farmer-Centred Mobile Intelligence Solution Using Lightweight Deep Learning for Integrated Wheat Pest Management.” Journal of Industrial Information Integration, vol. In Press, 2024, doi:10.1016/j.jii.2024.100705.


BibTeX   Click to copy

@article{shunbao2024a,
  title = {An effective farmer-centred mobile intelligence solution using lightweight deep learning for integrated wheat pest management},
  year = {2024},
  journal = {Journal of Industrial Information Integration},
  volume = {In Press},
  doi = {10.1016/j.jii.2024.100705},
  author = {Li, Shunbao and Yuan, Zhipeng and Peng, Ruoling and Leybourne, Daniel and Xue, Qing and Li, Yang and Yang, Po}
}


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