A comprehensive evaluation of lightweight deep learning models for tomato disease classification on edge computing environments.

Hoang TM, Bui VH, Nguyen VS, Doan DT, Dang HA, Pham AT.

Open source

DOI
10.1038/s41598-026-42439-6
Published
2026-03-05
Container
Sci Rep
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-42439-6,
  title = {A comprehensive evaluation of lightweight deep learning models for tomato disease classification on edge computing environments.},
  author = {Hoang TM and  Bui VH and  Nguyen VS and  Doan DT and  Dang HA and  Pham AT.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-42439-6},
  url = {https://doi.org/10.1038/s41598-026-42439-6}
}

RIS

TY  - JOUR
TI  - A comprehensive evaluation of lightweight deep learning models for tomato disease classification on edge computing environments.
AU  - Hoang TM
AU  -  Bui VH
AU  -  Nguyen VS
AU  -  Doan DT
AU  -  Dang HA
AU  -  Pham AT.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-42439-6
UR  - https://doi.org/10.1038/s41598-026-42439-6
ER  - 

APA

TM, H., VH, B., VS, N., DT, D., HA, D., & AT., P. (2026). A comprehensive evaluation of lightweight deep learning models for tomato disease classification on edge computing environments.. Sci Rep. https://doi.org/10.1038/s41598-026-42439-6

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