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Envisaging a global infrastructure to exploit the potential of digitised collections.
Groom, Quentin; Dillen, Mathias; Addink, Wouter; Ariño, Arturo H H; Bölling, Christian; Bonnet, Pierre; Cecchi, Lorenzo; Ellwood, Elizabeth R; Figueira, Rui; Gagnier, Pierre-Yves; Grace, Olwen M; Güntsch, Anton; Hardy, Helen; Huybrechts, Pieter; Hyam, Roger; Joly, Alexis A J; Kommineni, Vamsi Krishna; Larridon, Isabel; Livermore, Laurence; Lopes, Ricardo Jorge; Meeus, Sofie; Miller, Jeremy A; Milleville, Kenzo; Panda, Renato; Pignal, Marc; Poelen, Jorrit; Ristevski, Blagoj; Robertson, Tim; Rufino, Ana C; Santos, Joaquim; Schermer, Maarten; Scott, Ben; Seltmann, Katja Chantre; Teixeira, Heliana; Trekels, Maarten; Gaikwad, Jitendra.
Afiliação
  • Groom Q; Meise Botanic Garden, Meise, Belgium Meise Botanic Garden Meise Belgium.
  • Dillen M; Meise Botanic Garden, Meise, Belgium Meise Botanic Garden Meise Belgium.
  • Addink W; Naturalis Biodiversity Center, Leiden, Netherlands Naturalis Biodiversity Center Leiden Netherlands.
  • Ariño AHH; Distributed System of Scientific Collections - DiSSCo, Leiden, Netherlands Distributed System of Scientific Collections - DiSSCo Leiden Netherlands.
  • Bölling C; University of Navarra, Pamplona, Spain University of Navarra Pamplona Spain.
  • Bonnet P; Museum für Naturkunde Berlin, Berlin, Germany Museum für Naturkunde Berlin Berlin Germany.
  • Cecchi L; UMR AMAP, CIRAD, Montpellier, France UMR AMAP, CIRAD Montpellier France.
  • Ellwood ER; Sezione di Botanica Filippo Parlatore, Museo di Storia Naturale, Università di Firenze, Via G. La Pira 4, 50121 Firenze, Italy Sezione di Botanica Filippo Parlatore, Museo di Storia Naturale, Università di Firenze, Via G. La Pira 4 50121 Firenze Italy.
  • Figueira R; iDigBio, Gainesville, United States of America iDigBio Gainesville United States of America.
  • Gagnier PY; CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Vairão Portugal.
  • Grace OM; CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Instituto Superior de Agronomia, Universidade de Lisboa,
  • Güntsch A; Muséum national d'histoire naturelle, Paris, France Muséum national d'histoire naturelle Paris France.
  • Hardy H; Royal Botanic Garden Edinburgh, Edinburgh, United Kingdom Royal Botanic Garden Edinburgh Edinburgh United Kingdom.
  • Huybrechts P; Freie Universität Berlin, Botanic Garden and Botanical Museum Berlin, Berlin, Germany Freie Universität Berlin, Botanic Garden and Botanical Museum Berlin Berlin Germany.
  • Hyam R; Natural History Museum, London, United Kingdom Natural History Museum London United Kingdom.
  • Joly AAJ; Research Institute for Nature and Forest (INBO), Brussels, Belgium Research Institute for Nature and Forest (INBO) Brussels Belgium.
  • Kommineni VK; Royal Botanic Garden Edinburgh, Edinburgh, United Kingdom Royal Botanic Garden Edinburgh Edinburgh United Kingdom.
  • Larridon I; INRIA, Montpellier, France INRIA Montpellier France.
  • Livermore L; Friedrich Schiller University Jena, Jena, Germany Friedrich Schiller University Jena Jena Germany.
  • Lopes RJ; Max Planck Institute for Biogeochemistry, Jena, Germany Max Planck Institute for Biogeochemistry Jena Germany.
  • Meeus S; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany.
  • Miller JA; Royal Botanic Gardens, Kew, Richmond, England, United Kingdom Royal Botanic Gardens, Kew Richmond, England United Kingdom.
  • Milleville K; Ghent University, Gent, Belgium Ghent University Gent Belgium.
  • Panda R; The Natural History Museum, London, United Kingdom The Natural History Museum London United Kingdom.
  • Pignal M; CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Vairão, Portugal CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado Vairão Portugal.
  • Poelen J; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO Vairão Portugal.
  • Ristevski B; MHNC-UP, Natural History and Science Museum of the University of Porto, Porto, Portugal MHNC-UP, Natural History and Science Museum of the University of Porto Porto Portugal.
  • Robertson T; Meise Botanic Garden, Meise, Belgium Meise Botanic Garden Meise Belgium.
  • Rufino AC; Naturalis Biodiversity Center, Leiden, Netherlands Naturalis Biodiversity Center Leiden Netherlands.
  • Santos J; Plazi, Bern, Switzerland Plazi Bern Switzerland.
  • Schermer M; Ghent University, Ghent, Belgium Ghent University Ghent Belgium.
  • Scott B; Ci2, Polytechnic Institute of Tomar, Tomar, Portugal Ci2, Polytechnic Institute of Tomar Tomar Portugal.
  • Seltmann KC; Centre for Informatics and Systems of the University of Coimbra (CISUC), Coimbra, Portugal Centre for Informatics and Systems of the University of Coimbra (CISUC) Coimbra Portugal.
  • Teixeira H; MNHN, Paris, France, Metropolitan MNHN Paris France, Metropolitan.
  • Trekels M; Ronin Institute, Montclair, NJ, United States of America Ronin Institute Montclair, NJ United States of America.
  • Gaikwad J; Faculty of Information and Communication Technologies- Bitola, University "St. Kliment Ohridski", Bitola, Macedonia Faculty of Information and Communication Technologies- Bitola, University "St. Kliment Ohridski" Bitola Macedonia.
Biodivers Data J ; 11: e109439, 2023.
Article em En | MEDLINE | ID: mdl-38078294
ABSTRACT
Tens of millions of images from biological collections have become available online over the last two decades. In parallel, there has been a dramatic increase in the capabilities of image analysis technologies, especially those involving machine learning and computer vision. While image analysis has become mainstream in consumer applications, it is still used only on an artisanal basis in the biological collections community, largely because the image corpora are dispersed. Yet, there is massive untapped potential for novel applications and research if images of collection objects could be made accessible in a single corpus. In this paper, we make the case for infrastructure that could support image analysis of collection objects. We show that such infrastructure is entirely feasible and well worth investing in.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biodivers Data J Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biodivers Data J Ano de publicação: 2023 Tipo de documento: Article