Dr Daniel Leybourne

Research Fellow


Curriculum vitae



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

The University of Liverpool



Can artificial intelligence be integrated into pest monitoring schemes to help achieve sustainable agriculture? An entomological, management and computational perspective


Journal article


DJ Leybourne, N Musa, P Yang
Agricultural and Forest Entomology, In Press, 2024


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Cite

Cite

APA   Click to copy
Leybourne, D. J., Musa, N., & Yang, P. (2024). Can artificial intelligence be integrated into pest monitoring schemes to help achieve sustainable agriculture? An entomological, management and computational perspective. Agricultural and Forest Entomology, In Press. https://doi.org/10.1111/afe.12630


Chicago/Turabian   Click to copy
Leybourne, DJ, N Musa, and P Yang. “Can Artificial Intelligence Be Integrated into Pest Monitoring Schemes to Help Achieve Sustainable Agriculture? An Entomological, Management and Computational Perspective.” Agricultural and Forest Entomology In Press (2024).


MLA   Click to copy
Leybourne, D. J., et al. “Can Artificial Intelligence Be Integrated into Pest Monitoring Schemes to Help Achieve Sustainable Agriculture? An Entomological, Management and Computational Perspective.” Agricultural and Forest Entomology, vol. In Press, 2024, doi:10.1111/afe.12630.


BibTeX   Click to copy

@article{leybourne2024a,
  title = {Can artificial intelligence be integrated into pest monitoring schemes to help achieve sustainable agriculture? An entomological, management and computational perspective},
  year = {2024},
  journal = {Agricultural and Forest Entomology},
  volume = {In Press},
  doi = {10.1111/afe.12630},
  author = {Leybourne, DJ and Musa, N and Yang, P}
}


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