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Interpretable machine learning-accelerated seed treatment using nanomaterials for environmental stress alleviation.
Yu, Hengjie; Luo, Dan; Li, Sam Fong Yau; Qu, Maozhen; Liu, Da; He, Yingchao; Cheng, Fang.
  • Yu H; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. fcheng@zju.edu.cn.
  • Luo D; Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou 310058, China.
  • Li SFY; Department of Biological and Environmental Engineering, Cornell University, Ithaca, New York 14853, USA.
  • Qu M; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore.
  • Liu D; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. fcheng@zju.edu.cn.
  • He Y; Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou 310058, China.
  • Cheng F; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. fcheng@zju.edu.cn.
Nanoscale ; 15(32): 13437-13449, 2023 Aug 17.
Article en En | MEDLINE | ID: mdl-37548042
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nanoestructuras / Nanopartículas Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nanoestructuras / Nanopartículas Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article