FIDMT-GhostNet: a lightweight density estimation model for wheat ear counting.

Yang B, Chen R, Gao Z, Zhi H

DOI: 10.3389/fpls.2024.1435042
Published: 2024
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2024.1435042,
  title = {FIDMT-GhostNet: a lightweight density estimation model for wheat ear counting.},
  author = {Yang B and Chen R and Gao Z and Zhi H},
  year = {2024},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2024.1435042},
  url = {https://doi.org/10.3389/fpls.2024.1435042}
}

RIS

TY  - JOUR
TI  - FIDMT-GhostNet: a lightweight density estimation model for wheat ear counting.
AU  - Yang B
AU  - Chen R
AU  - Gao Z
AU  - Zhi H
PY  - 2024
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2024.1435042
UR  - https://doi.org/10.3389/fpls.2024.1435042
ER  -

APA

B, Y., R, C., Z, G., & H, Z. (2024). FIDMT-GhostNet: a lightweight density estimation model for wheat ear counting.. Frontiers in plant science. https://doi.org/10.3389/fpls.2024.1435042

Source records

pubmed · retrieved 2026-09-26T10:08:27.400Z