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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Detalles Bibliográficos
Autores principales: Yasrab, Robail, Atkinson, Jonathan A, Wells, Darren M, French, Andrew P, Pridmore, Tony P, Pound, Michael P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research
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

Internet

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

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