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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Resilience assessment and prediction of fresh agricultural product supply chains using variable fuzzy recognition and machine learning

  • Shangbing Gao
  • Anming Bai
  • Xinguo Sun
  • Anbang Peng
  • Shilan Li
  • Wei Zhao
  • Shuaifei Ma
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{gao2026resilience,
  title = {{Resilience assessment and prediction of fresh agricultural product supply chains using variable fuzzy recognition and machine learning}},
  author = {Shangbing Gao and Anming Bai and Xinguo Sun and Anbang Peng and Shilan Li and Wei Zhao and Shuaifei Ma},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75146-3},
  url = {https://www.nature.com/articles/s41598-026-75146-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Resilience assessment and prediction of fresh agricultural product supply chains using variable fuzzy recognition and machine learning
AU  - Shangbing Gao
AU  - Anming Bai
AU  - Xinguo Sun
AU  - Anbang Peng
AU  - Shilan Li
AU  - Wei Zhao
AU  - Shuaifei Ma
PY  - 2026
DA  - 2026/10/18
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75146-3
UR  - https://www.nature.com/articles/s41598-026-75146-3
SN  - 2045-2322
ER  -