ZamYOLO-maize: a YOLOv8n-based deep learning framework for automated detection and classification of maize leaf diseases in field conditions in Zambia.

Kalunga P, Kunda D, Zimba A.

Open source

DOI: 10.3389/frai.2026.1764283
Published: 2026-02-25
Container: Front Artif Intell
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1764283,
  title = {ZamYOLO-maize: a YOLOv8n-based deep learning framework for automated detection and classification of maize leaf diseases in field conditions in Zambia.},
  author = {Kalunga P and  Kunda D and  Zimba A.},
  year = {2026},
  journal = {Front Artif Intell},
  doi = {10.3389/frai.2026.1764283},
  url = {https://doi.org/10.3389/frai.2026.1764283}
}

RIS

TY  - JOUR
TI  - ZamYOLO-maize: a YOLOv8n-based deep learning framework for automated detection and classification of maize leaf diseases in field conditions in Zambia.
AU  - Kalunga P
AU  -  Kunda D
AU  -  Zimba A.
PY  - 2026
JO  - Front Artif Intell
DO  - 10.3389/frai.2026.1764283
UR  - https://doi.org/10.3389/frai.2026.1764283
ER  -

APA

P, K., D, K., & A., Z. (2026). ZamYOLO-maize: a YOLOv8n-based deep learning framework for automated detection and classification of maize leaf diseases in field conditions in Zambia.. Front Artif Intell. https://doi.org/10.3389/frai.2026.1764283

Source records

europe-pmc · retrieved 2026-09-26T05:19:20.166Z
doaj · retrieved 2026-09-26T05:19:20.155Z