Deep learning for multi-task plant phenotyping
Plant phenotyping has continued to pose a challenge to computer vision for many years. There is a particular demand to accurately quantify images of crops, and the natural variability and structure of these plants presents unique difficulties. Recently, machine learning approaches have shown impress...
Main Authors: | Pound, Michael P., Atkinson, Jonathan A., Wells, Darren M., Pridmore, Tony P., French, Andrew P. |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
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Online Access: | http://eprints.nottingham.ac.uk/47610/ http://eprints.nottingham.ac.uk/47610/ http://eprints.nottingham.ac.uk/47610/1/Pound_Deep_Learning_for_ICCV_2017_paper.pdf |
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