Towards precision agriculture for assessing germination rates and density of rice seedling using hierarchical convolutional neural network on drone imagery

Sultan Almutairi, Eatedal Alabdulkreem, Nuha Alruwais, Hatim Dafaalla, Achraf Ben Miled, Haidar Almubarak, Nouf Atiahallah Alghanmi, Saad A. AlOwayyed

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DOI: 10.1038/s41598-026-37681-x
Published: 2026-05-23
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-37681-x,
  title = {Towards precision agriculture for assessing germination rates and density of rice seedling using hierarchical convolutional neural network on drone imagery},
  author = {Sultan Almutairi and Eatedal Alabdulkreem and Nuha Alruwais and Hatim Dafaalla and Achraf Ben Miled and Haidar Almubarak and Nouf Atiahallah Alghanmi and Saad A. AlOwayyed},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-37681-x},
  url = {https://doi.org/10.1038/s41598-026-37681-x}
}

RIS

TY  - JOUR
TI  - Towards precision agriculture for assessing germination rates and density of rice seedling using hierarchical convolutional neural network on drone imagery
AU  - Sultan Almutairi
AU  - Eatedal Alabdulkreem
AU  - Nuha Alruwais
AU  - Hatim Dafaalla
AU  - Achraf Ben Miled
AU  - Haidar Almubarak
AU  - Nouf Atiahallah Alghanmi
AU  - Saad A. AlOwayyed
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-37681-x
UR  - https://doi.org/10.1038/s41598-026-37681-x
ER  -

APA

Almutairi, S., Alabdulkreem, E., Alruwais, N., Dafaalla, H., Miled, A. B., Almubarak, H., Alghanmi, N. A., & AlOwayyed, S. A. (2026). Towards precision agriculture for assessing germination rates and density of rice seedling using hierarchical convolutional neural network on drone imagery. Scientific Reports. https://doi.org/10.1038/s41598-026-37681-x

Source records

crossref · retrieved 2026-09-25T22:06:28.322Z