GreenAid: a confidence-weighted ensemble deep learning system for real-time plant disease detection and management.

Talaat FM, Tawfik M, Tawfik M, Shaban WM.

Open source

DOI: 10.1038/s41598-026-57979-0
Published: 2026-06-21
Container: Sci Rep
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-57979-0,
  title = {GreenAid: a confidence-weighted ensemble deep learning system for real-time plant disease detection and management.},
  author = {Talaat FM and  Tawfik M and  Tawfik M and  Shaban WM.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-57979-0},
  url = {https://doi.org/10.1038/s41598-026-57979-0}
}

RIS

TY  - JOUR
TI  - GreenAid: a confidence-weighted ensemble deep learning system for real-time plant disease detection and management.
AU  - Talaat FM
AU  -  Tawfik M
AU  -  Tawfik M
AU  -  Shaban WM.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-57979-0
UR  - https://doi.org/10.1038/s41598-026-57979-0
ER  -

APA

FM, T., M, T., M, T., & WM., S. (2026). GreenAid: a confidence-weighted ensemble deep learning system for real-time plant disease detection and management.. Sci Rep. https://doi.org/10.1038/s41598-026-57979-0

Source records

europe-pmc · retrieved 2026-09-25T16:29:12.093Z
doaj · retrieved 2026-09-25T16:29:12.086Z