IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT.

Masud KI, Zihad MY, Shuvo MH, Jannat MR, Uddin J, Ali S

DOI: 10.1371/journal.pone.0356383
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0356383,
  title = {IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT.},
  author = {Masud KI and Zihad MY and Shuvo MH and Jannat MR and Uddin J and Ali S},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0356383},
  url = {https://doi.org/10.1371/journal.pone.0356383}
}

RIS

TY  - JOUR
TI  - IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT.
AU  - Masud KI
AU  - Zihad MY
AU  - Shuvo MH
AU  - Jannat MR
AU  - Uddin J
AU  - Ali S
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0356383
UR  - https://doi.org/10.1371/journal.pone.0356383
ER  -

APA

KI, M., MY, Z., MH, S., MR, J., J, U., & S, A. (2026). IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT.. PloS one. https://doi.org/10.1371/journal.pone.0356383

Source records

pubmed · retrieved 2026-11-10T10:44:44.073Z