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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Vydáno v:Gigascience
Hlavní autoři: 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.
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2017
Témata:
Research
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5632296/
https://ncbi.nlm.nih.gov/pubmed/29020747
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/gix083
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