Multi-objective optimization of electromagnetic vibration parameters for corn seed phenotype prediction based on deep learning.

Zhang X, Wang Z, Yi K

DOI: 10.1038/s41598-025-20846-5
Published: 2025 Oct 22
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-20846-5,
  title = {Multi-objective optimization of electromagnetic vibration parameters for corn seed phenotype prediction based on deep learning.},
  author = {Zhang X and Wang Z and Yi K},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-20846-5},
  url = {https://doi.org/10.1038/s41598-025-20846-5}
}

RIS

TY  - JOUR
TI  - Multi-objective optimization of electromagnetic vibration parameters for corn seed phenotype prediction based on deep learning.
AU  - Zhang X
AU  - Wang Z
AU  - Yi K
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-20846-5
UR  - https://doi.org/10.1038/s41598-025-20846-5
ER  -

APA

X, Z., Z, W., & K, Y. (2025). Multi-objective optimization of electromagnetic vibration parameters for corn seed phenotype prediction based on deep learning.. Scientific reports. https://doi.org/10.1038/s41598-025-20846-5

Source records

pubmed · retrieved 2026-09-26T22:48:58.071Z