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Time to automate identification

Author

Listed:
  • Norman MacLeod

    (Cromwell Road, London SW7 5BD, UK. n.macleod@nhm.ac.uk)

  • Mark Benfield

    (School of the Coast and Environment, Louisiana State University, Baton Rouge, Louisiana 70803, USA. mbenfie@lsu.edu)

  • Phil Culverhouse

    (Phil Culverhouse is at the Centre for Robotics and Neural Systems, University of Plymouth, Plymouth PL4 8AA. UK. pculverhouse@plymouth.ac.uk)

Abstract

Taxonomists should work with specialists in pattern recognition, machine learning and artificial intelligence, say Norman MacLeod, Mark Benfield and Phil Culverhouse — more accuracy and less drudgery will result.

Suggested Citation

  • Norman MacLeod & Mark Benfield & Phil Culverhouse, 2010. "Time to automate identification," Nature, Nature, vol. 467(7312), pages 154-155, September.
    • Handle: RePEc:nat:nature:v:467:y:2010:i:7312:d:10.1038_467154a
    DOI: 10.1038/467154a
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    Citations

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    Cited by:

    1. Alan Caio R Marques & Marcos M. Raimundo & Ellen Marianne B. Cavalheiro & Luis F. P. Salles & Christiano Lyra & Fernando J. Von Zuben, 2018. "Ant genera identification using an ensemble of convolutional neural networks," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-13, January.
    2. Vincenzo Viscosi & Andrea Cardini, 2011. "Leaf Morphology, Taxonomy and Geometric Morphometrics: A Simplified Protocol for Beginners," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-20, October.
    3. Kaichang Cheng & Xuemin Cheng & Yuqi Wang & Hongsheng Bi & Mark C Benfield, 2019. "Enhanced convolutional neural network for plankton identification and enumeration," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-17, July.

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