Article (Scientific journals)
RAPID : Research on Automated Plankton Identification
Benfield, M.C.; Grosjean, Philippe; Culverhouse, Ph. et al.
2007In Journal of Oceanography, 20 (2), p. 172-187
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Keywords :
[en] image analysis; [en] machine learning; [en] automatic identification; [en] plankton
Abstract :
[en] When Victor Hensen deployed the first true plankton1 net in 1887, he and his colleagues were attempting to answer three fundamental questions: What planktonic organisms are present in the ocean? How many of each type are present? How does the plankton's composition change over time? Although answering these questions has remained a central goal of oceanographers, the sophisticated tools available to enumerate planktonic organisms today offer capabilities that Hensen probably could never have imagined.
Disciplines :
Phytobiology (plant sciences, forestry, mycology...)
Mathematics
Author, co-author :
Benfield, M.C.
Grosjean, Philippe  ;  Université de Mons > Faculté des Sciences > Service d'Ecologie numérique
Culverhouse, Ph.
Irigoien, X.
Sieracki, M.E.
Lopez-Urrutia, A.
Dam, H.G.
Hu, Q.
Davis, C.S.
Hansen, A.
Pilskaln, C.H.
Riseman, E.
Schultz, H.
Utgoff, P.E.
Gorsky, G.
More authors (5 more) Less
Language :
English
Title :
RAPID : Research on Automated Plankton Identification
Publication date :
01 January 2007
Journal title :
Journal of Oceanography
ISSN :
0916-8370
Publisher :
Springer, Netherlands
Volume :
20
Issue :
2
Pages :
172-187
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
S807 - Ecologie numérique
Research institute :
R150 - Institut de Recherche sur les Systèmes Complexes
Commentary :
Lecture en ligne: https://darchive.mblwhoilibrary.org/bitstream/handle/1912/2776/20.2_benfield_et_al.pdf?sequence=1
Available on ORBi UMONS :
since 10 July 2010

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