TeaDiseaseNet: multi-scale self-attentive tea disease detection.

Sun Y, Wu F, Guo H, Li R, Yao J, Shen J

DOI: 10.3389/fpls.2023.1257212
Published: 2023
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2023.1257212,
  title = {TeaDiseaseNet: multi-scale self-attentive tea disease detection.},
  author = {Sun Y and Wu F and Guo H and Li R and Yao J and Shen J},
  year = {2023},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2023.1257212},
  url = {https://doi.org/10.3389/fpls.2023.1257212}
}

RIS

TY  - JOUR
TI  - TeaDiseaseNet: multi-scale self-attentive tea disease detection.
AU  - Sun Y
AU  - Wu F
AU  - Guo H
AU  - Li R
AU  - Yao J
AU  - Shen J
PY  - 2023
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2023.1257212
UR  - https://doi.org/10.3389/fpls.2023.1257212
ER  -

APA

Y, S., F, W., H, G., R, L., J, Y., & J, S. (2023). TeaDiseaseNet: multi-scale self-attentive tea disease detection.. Frontiers in plant science. https://doi.org/10.3389/fpls.2023.1257212

Source records

pubmed · retrieved 2026-09-25T10:06:07.424Z