Automated Real-Time Identification of Medicinal Plants Species in Natural Environment Using Deep Learning Models-A Case Study from Borneo Region.

Malik OA, Ismail N, Hussein BR, Yahya U

Open source

DOI
10.3390/plants11151952
Published
2022 Jul 27
Container
Plants (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/plants11151952,
  title = {Automated Real-Time Identification of Medicinal Plants Species in Natural Environment Using Deep Learning Models-A Case Study from Borneo Region.},
  author = {Malik OA and Ismail N and Hussein BR and Yahya U},
  year = {2022},
  journal = {Plants (Basel, Switzerland)},
  doi = {10.3390/plants11151952},
  url = {https://doi.org/10.3390/plants11151952}
}

RIS

TY  - JOUR
TI  - Automated Real-Time Identification of Medicinal Plants Species in Natural Environment Using Deep Learning Models-A Case Study from Borneo Region.
AU  - Malik OA
AU  - Ismail N
AU  - Hussein BR
AU  - Yahya U
PY  - 2022
JO  - Plants (Basel, Switzerland)
DO  - 10.3390/plants11151952
UR  - https://doi.org/10.3390/plants11151952
ER  -

APA

OA, M., N, I., BR, H., & U, Y. (2022). Automated Real-Time Identification of Medicinal Plants Species in Natural Environment Using Deep Learning Models-A Case Study from Borneo Region.. Plants (Basel, Switzerland). https://doi.org/10.3390/plants11151952

Source records