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Physics-informed deep learning characterizes morphodynamics of Asian soybean rust disease
oleh: Henry Cavanagh, Andreas Mosbach, Gabriel Scalliet, Rob Lind, Robert G. Endres
Format: | Article |
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Diterbitkan: | Nature Portfolio 2021-11-01 |
Deskripsi
Deep learning (DL) can be used to automatically extract complex features from dynamic systems. Here, the authors combine high-content imaging, DL and mechanistic models to extract and explain drug-induced morphological changes in the growth of the fungus responsible for Asian soybean rust.