An unique model for weed and paddy detection using regional convolutional neural networks

M. Vaidhehi, C. Malathy

DOI: 10.1080/09064710.2021.2011395
Published: 12
Container: Acta Agriculturae Scandinavica. Section B, Soil and Plant Science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1080/09064710.2021.2011395,
  title = {An unique model for weed and paddy detection using regional convolutional neural networks},
  author = {M. Vaidhehi and C. Malathy},
  year = {2022},
  journal = {Acta Agriculturae Scandinavica. Section B, Soil and Plant Science},
  doi = {10.1080/09064710.2021.2011395},
  url = {https://doi.org/10.1080/09064710.2021.2011395}
}

RIS

TY  - JOUR
TI  - An unique model for weed and paddy detection using regional convolutional neural networks
AU  - M. Vaidhehi
AU  - C. Malathy
PY  - 2022
JO  - Acta Agriculturae Scandinavica. Section B, Soil and Plant Science
DO  - 10.1080/09064710.2021.2011395
UR  - https://doi.org/10.1080/09064710.2021.2011395
ER  -

APA

Vaidhehi, M., & Malathy, C. (2022). An unique model for weed and paddy detection using regional convolutional neural networks. Acta Agriculturae Scandinavica. Section B, Soil and Plant Science. https://doi.org/10.1080/09064710.2021.2011395

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doaj · retrieved 2026-09-25T23:08:58.160Z