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

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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Bibliographic Details
Main Authors: 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.
Format: Article
Published: Oxford University Press 2017
Subjects:
Phenotyping; Deep learning; Root; Shoot; QTL; Image analysis
Online Access:https://eprints.nottingham.ac.uk/47289/

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