FN Archimer Export Format PT J TI Machine learning techniques to characterize functional traits of plankton from image data BT AF Orenstein, Eric C. Ayata, Sakina‐Dorothée Maps, Frédéric Becker, Érica C. Benedetti, Fabio Biard, Tristan de Garidel‐Thoron, Thibault Ellen, Jeffrey S. Ferrario, Filippo Giering, Sarah L. C. Guy‐Haim, Tamar Hoebeke, Laura Iversen, Morten Hvitfeldt Kiørboe, Thomas Lalonde, Jean‐François Lana, Arancha Laviale, Martin Lombard, Fabien Lorimer, Tom Martini, Séverine Meyer, Albin Möller, Klas Ove Niehoff, Barbara Ohman, Mark D. Pradalier, Cédric ROMAGNAN, Jean-Baptiste Schröder, Simon‐Martin Sonnet, Virginie Sosik, Heidi M. Stemmann, Lars S. Stock, Michiel Terbiyik‐Kurt, Tuba Valcárcel‐Pérez, Nerea Vilgrain, Laure Wacquet, Guillaume Waite, Anya M. Irisson, Jean‐Olivier AS 1:1;2:1,2;3:3,4;4:5;5:6;6:7;7:8;8:9;9:3,4,10;10:11;11:12;12:13;13:14;14:15;15:16;16:17;17:18;18:1;19:19;20:20;21:18;22:21;23:14;24:9;25:22;26:23;27:24;28:25;29:26;30:1;31:13;32:27;33:28;34:1;35:29;36:30;37:1; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:PDG-RBE-HALGO-EMH;27:;28:;29:;30:;31:;32:;33:;34:;35:PDG-ODE-LITTORAL-LERBL;36:;37:; C1 Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche Villefranche‐sur‐Mer ,France Sorbonne Université, Laboratoire d'Océanographie et du Climat, Institut Pierre Simon Laplace (LOCEAN‐IPSL, SU/CNRS/IRD/MNHN) Paris ,France Département de Biologie Université Laval Québec, Canada Takuvik Joint International Laboratory Université Laval‐CNRS (UMI 3376), Québec‐Océan, Université Laval Québec ,Canada Universidade Federal de Santa Catarina (UFSC) Florianópolis Santa Catarina ,Brazil ETH Zürich Institute of Biogeochemistry and Pollutant Dynamics Zürich ,Switzerland Laboratoire d'Océanologie et de Géosciences Université du Littoral Côte d'Opale, Université de Lille, CNRS, UMR 8187 Wimereux ,France Aix‐Marseille Université, CNRS, IRD, Coll. de France, INRAE, CEREGE Aix en Provence, France Scripps Institution of Oceanography, University of California San Diego La Jolla California, USA Department of Fisheries and Oceans Maurice Lamontagne Institute Mont‐Joli Québec, Canada Ocean Biogeosciences National Oceanography Centre Southampton, UK National Institute of Oceanography, Israel Oceanographic and Limnological Research Haifa ,Israel KERMIT, Department of Data Analysis and Mathematical Modelling Ghent University Ghent ,Belgium Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Germany Centre for Ocean Life, DTU‐Aqua Technical University of Denmark Kongens Lyngby, Denmark Laboratoire de Vision et Systèmes Numériques Université Laval Québec City Québec ,Canada Institut Mediterrani d'Estudis Avançats (IMEDEA, UIB‐CSIC) Balearic Islands ,Spain Université de Lorraine, CNRS, LIEC Metz ,France Eawag Dübendorf, Switzerland Aix Marseille University, Université de Toulon, CNRS, IRD, MIO UM Marseille ,France Helmholtz‐Zentrum Hereon Institute of Carbon Cycle Geesthacht,Germany GeorgiaTech Lorraine CNRS IRL GT‐CNRS Metz ,France IFREMER, Centre Atlantique, Laboratoire Ecologie et Modèles pour l'Halieutique (EMH) Unité HALGO, UMR DECOD Nantes ,France Kiel University Kiel, Germany Graduate School of Oceanography University of Rhode Island Narragansett Rhode Island ,USA Woods Hole Oceanographic Institution Woods Hole Massachusetts ,USA Department of Basic Sciences Cukurova University, Faculty of Fisheries Adana ,Turkey Centro Oceanográfico de Málaga, IEO, CSIC Fuengirola, Spain IFREMER, Laboratoire Environnement Ressources Boulogne‐sur‐Mer ,France Ocean Frontier Institute, Dalhousie University Halifax Nova Scotia, Canada C2 UNIV SORBONNE, FRANCE UNIV SORBONNE, FRANCE UNIV LAVAL, CANADA QUEBEC OCEAN UNIV LAVAL, CANADA UNIV FED SANTA CATARINA, BRAZIL ETH ZURICH, SWITZERLAND UNIV LITTORAL COTE D'OPALE, FRANCE UNIV AIX MARSEILLE, FRANCE UNIV CALIF SAN DIEGO, USA MPO INST MAURICE LAMONTAGNE, CANADA NOC, UK IOLR, ISRAEL UNIV GHENT, BELGIUM INST A WEGENER, GERMANY UNIV TECH DENMARK (DTU AQUA), DENMARK UNIV LAVAL, CANADA IMEDEA, SPAIN UNIV LORRAINE, FRANCE EAWAG, SWITZERLAND UNIV AIX MARSEILLE, FRANCE HZG, GERMANY CNRS, FRANCE IFREMER, FRANCE UNIV KIEL, GERMANY UNIV RHODE ISLAND, USA WHOI, USA UNIV CUKUROVA, TURKEY IEO, SPAIN IFREMER, FRANCE UNIV DALHOUSIE, CANADA SI NANTES BOULOGNE SE PDG-RBE-HALGO-EMH PDG-ODE-LITTORAL-LERBL UM DECOD IN WOS Ifremer UPR WOS Ifremer UMR copubli-france copubli-europe copubli-univ-france copubli-int-hors-europe copubli-sud IF 4.5 TC 26 UR https://archimer.ifremer.fr/doc/00782/89435/94895.pdf https://archimer.ifremer.fr/doc/00782/89435/94896.docx LA English DT Article AB Plankton imaging systems supported by automated classification and analysis have improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of reliably tracking plankton populations with a suite of lab-based and in situ tools, collecting imaging data at unprecedentedly fine spatial and temporal scales. But these data have potential well beyond examining the abundances of different taxa; the individual images themselves contain a wealth of information on functional traits. Here, we outline traits that could be measured from image data, suggest machine learning and computer vision approaches to extract functional trait information from the images, and discuss promising avenues for novel studies. The approaches we discuss are data agnostic and are broadly applicable to imagery of other aquatic or terrestrial organisms. PY 2022 PD AUG SO Limnology And Oceanography SN 0024-3590 PU Wiley VL 67 IS 8 UT 000818960400001 BP 1647 EP 1669 DI 10.1002/lno.12101 ID 89435 ER EF