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49-006-001
Dinoflagellate Categorisation by Artificial Neural Network
DiCANN
Fourth Framework Programme
MAST 3
Laboratorio di Biologia Marina, Trieste
01/03/1999
31/08/2001
No
European waters
Coastal
Mediterranean Sea
The purpose of this project is to develop a new observation method for use in
future oceanographic biological survey. The demonstration will be a software
system capable of categorising marine biological species, genera and larger
groups. The project will also develop calibration techniques and standards for
a new class of marine observation method and for its impact on biological
survey, b) to develop training methods for marine scientists and technicians
in the use of this new methodology and to establish sites of competence
within the EU, c) to integrate the data obtained from this methodology into
establishing standard techniques for handling marine data suitable for
programmes such as EuroGOOS and d) to show that the system is robust
and reliable.
Culverhouse PF (2000) DiCANN: a machine vision solution to biological
specimen categorisation, Bartel K-G, Lecherf C, Catizzone M, Cornaert M,
Edwards A, Fragakis C, Levieil D, Martin P, Ollier G, d'Ozovville L and
th
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nd
Schrimpg W (eds.) in Proc. EurOcean 2000, 29 August-2 September 2000,
Hamburg, DE, isbn 92-894-1019-1, pp.239-241.
Culverhouse, P.F., V. Herry, B. Reguera, S. González-Gil, R. Williams, S.
Fonda, M. Cabrini, T. Parisini & R. Ellis (2001). Dinoflagellate Categorisation
by Artificial Neural Network (DiCANN). In: Harmful Algal Blooms. Hallegraeff,
G., Blackburn, S., Lewis, R. & Bolch, C. (eds.). Intergovernmental
Oceanographic Commission of UNESCO, pp. 195-198.
Global change, climate, biodiversity
Biological data; CATALOGUES - DIRECTORIES ETC.
http://www.dist.unige.it/dicann/
Laboratorio di Biologia Marina, Trieste
Reference Laboratory
Center for Intelligent Systems, University of Plymouth (UK) (Coordinator),
IEO Centro Oceanografico de Vigo (Spain), Laboratorio di Biologia Marina
(Italy), DIST Università di Genova (Italy)
Dr. Serena Fonda Umani
Laboratorio di Biologia Marina, Sorgenti di Aurisina, Strada Costeria 336
(Trieste), Italy
+39 040 2249870
+39-040-224989
labbioma@univ.trieste.it
A. Giorgetti, OGS, Italy (agiorgetti@ogs.trieste.it)
10/05/2005
10/05/2005
Collating-centre
Modify-date
OGS, Trieste, Italy
10/05/2005