Attention-driven YOLOv11n-DeiT model for enhanced detection of tomato leaf diseases.

Alsakar YM, Sakr NA, Elmogy M

DOI: 10.1038/s41598-026-64897-8
Published: 2026 Aug 9
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-64897-8,
  title = {Attention-driven YOLOv11n-DeiT model for enhanced detection of tomato leaf diseases.},
  author = {Alsakar YM and Sakr NA and Elmogy M},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-64897-8},
  url = {https://doi.org/10.1038/s41598-026-64897-8}
}

RIS

TY  - JOUR
TI  - Attention-driven YOLOv11n-DeiT model for enhanced detection of tomato leaf diseases.
AU  - Alsakar YM
AU  - Sakr NA
AU  - Elmogy M
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-64897-8
UR  - https://doi.org/10.1038/s41598-026-64897-8
ER  -

APA

YM, A., NA, S., & M, E. (2026). Attention-driven YOLOv11n-DeiT model for enhanced detection of tomato leaf diseases.. Scientific reports. https://doi.org/10.1038/s41598-026-64897-8

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pubmed · retrieved 2026-09-25T13:54:45.971Z