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
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.