Deep learning for multi-task plant phenotyping

Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017

Volumn 2018-January, Issue , 2017, Pages 2055-2063

  Pound, Michael P ^a   Atkinson, Jonathan A ^a   Wells, Darren M ^a   Pridmore, Tony P ^a   French, Andrew P ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CROPS; LARGE DATASET;

DEEP ARCHITECTURES; LARGE DATASETS; LEARNING APPROACH; MACHINE LEARNING APPROACHES; NATURAL VARIABILITY; PHENOTYPING; PLANT PHENOTYPING;

DEEP LEARNING;

EID: 85046259156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2017.241     Document Type: Conference Paper

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