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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Effects of within-season temporal aggregation of weather variables on performance and interpretability in rice yield machine learning models

  • Noh-Hyun Lee
  • Wonjae Jeong
  • Hyeon-Ji Yang
  • Hana Cho
  • Hyeon-Yeong Ju
  • Toshichika Iizumi
  • Kwang-Hyung Kim
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{lee2026effects,
  title = {{Effects of within-season temporal aggregation of weather variables on performance and interpretability in rice yield machine learning models}},
  author = {Noh-Hyun Lee and Wonjae Jeong and Hyeon-Ji Yang and Hana Cho and Hyeon-Yeong Ju and Toshichika Iizumi and Kwang-Hyung Kim},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75646-2},
  url = {https://www.nature.com/articles/s41598-026-75646-2},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Effects of within-season temporal aggregation of weather variables on performance and interpretability in rice yield machine learning models
AU  - Noh-Hyun Lee
AU  - Wonjae Jeong
AU  - Hyeon-Ji Yang
AU  - Hana Cho
AU  - Hyeon-Yeong Ju
AU  - Toshichika Iizumi
AU  - Kwang-Hyung Kim
PY  - 2026
DA  - 2026/10/13
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75646-2
UR  - https://www.nature.com/articles/s41598-026-75646-2
SN  - 2045-2322
ER  -