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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839032/ https://www.ncbi.nlm.nih.gov/pubmed/31702012 http://dx.doi.org/10.1093/gigascience/giz123 |