Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

In plant phenotyping, it has become important to be able to measure many features on large image sets in order to aid genetic discovery. The size of the datasets, now often captured robotically, often precludes manual inspection, hence the motivation for finding a fully automated approach. Deep lear...

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Detalles Bibliográficos
Autores principales: Pound, Michael P., Atkinson, Jonathan A., Townsend, Alexandra J., Wilson, Michael H., Griffiths, Marcus, Jackson, Aaron S., Bulat, Adrian, Tzimiropoulos, Georgios, Wells, Darren M., Murchie, Erik H., Pridmore, Tony P., French, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632296/
https://www.ncbi.nlm.nih.gov/pubmed/29020747
http://dx.doi.org/10.1093/gigascience/gix083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632296/
https://www.ncbi.nlm.nih.gov/pubmed/29020747
http://dx.doi.org/10.1093/gigascience/gix083

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