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Physics-informed deep learning characterizes morphodynamics of Asian soybean rust disease.
Cavanagh, Henry; Mosbach, Andreas; Scalliet, Gabriel; Lind, Rob; Endres, Robert G.
Affiliation
  • Cavanagh H; Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London, SW7 2BU, UK.
  • Mosbach A; Syngenta Crop Protection AG, Schaffhauserstrasse 101, 4332, Stein, Switzerland.
  • Scalliet G; Syngenta Crop Protection AG, Schaffhauserstrasse 101, 4332, Stein, Switzerland.
  • Lind R; Syngenta International Research Centre, Jealott's Hill, Berkshire, RG42 6EY, UK.
  • Endres RG; Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London, SW7 2BU, UK. r.endres@imperial.ac.uk.
Nat Commun ; 12(1): 6424, 2021 11 05.
Article in En | MEDLINE | ID: mdl-34741028
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glycine max / Deep Learning Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2021 Type: Article Affiliation country: United kingdom
Fulltext
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glycine max / Deep Learning Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2021 Type: Article Affiliation country: United kingdom