Accurate orange yield estimation using a novel dataset, fine-tuned deep learning models, and vision-LLM benchmarking.

Akram QUA, Ramzan Z, Ali W, Din I, Dilawar M, Trabelsi Z

Open source

DOI
10.1038/s41598-026-61064-x
Published
2026 Jul 10
Container
Scientific reports
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-026-61064-x,
  title = {Accurate orange yield estimation using a novel dataset, fine-tuned deep learning models, and vision-LLM benchmarking.},
  author = {Akram QUA and Ramzan Z and Ali W and Din I and Dilawar M and Trabelsi Z},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-61064-x},
  url = {https://doi.org/10.1038/s41598-026-61064-x}
}

RIS

TY  - JOUR
TI  - Accurate orange yield estimation using a novel dataset, fine-tuned deep learning models, and vision-LLM benchmarking.
AU  - Akram QUA
AU  - Ramzan Z
AU  - Ali W
AU  - Din I
AU  - Dilawar M
AU  - Trabelsi Z
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-61064-x
UR  - https://doi.org/10.1038/s41598-026-61064-x
ER  - 

APA

QUA, A., Z, R., W, A., I, D., M, D., & Z, T. (2026). Accurate orange yield estimation using a novel dataset, fine-tuned deep learning models, and vision-LLM benchmarking.. Scientific reports. https://doi.org/10.1038/s41598-026-61064-x

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