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

Khawja Imran Masud, Md Yasin Zihad, Mehedi Hasan Shuvo, Mst Raonik Jannat, Jia Uddin, Sahara Ali

Open source

DOI: 10.1371/journal.pone.0356383
Published: 2026-09-15
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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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 = {Khawja Imran Masud and Md Yasin Zihad and Mehedi Hasan Shuvo and Mst Raonik Jannat and Jia Uddin and Sahara Ali},
  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  - Khawja Imran Masud
AU  - Md Yasin Zihad
AU  - Mehedi Hasan Shuvo
AU  - Mst Raonik Jannat
AU  - Jia Uddin
AU  - Sahara Ali
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0356383
UR  - https://doi.org/10.1371/journal.pone.0356383
ER  -

APA

Masud, K. I., Zihad, M. Y., Shuvo, M. H., Jannat, M. R., Uddin, J., & Ali, S. (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

crossref · retrieved 2026-09-25T03:54:14.192Z