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RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures
BACKGROUND: In recent years quantitative analysis of root growth has become increasingly important as a way to explore the influence of abiotic stress such as high temperature and drought on a plant's ability to take up water and nutrients. Segmentation and feature extraction of plant roots fro...
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| Publicado no: | Gigascience |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6839032/ https://ncbi.nlm.nih.gov/pubmed/31702012 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz123 |
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