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Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras.
Lorieul, Titouan; Pearson, Katelin D; Ellwood, Elizabeth R; Goëau, Hervé; Molino, Jean-Francois; Sweeney, Patrick W; Yost, Jennifer M; Sachs, Joel; Mata-Montero, Erick; Nelson, Gil; Soltis, Pamela S; Bonnet, Pierre; Joly, Alexis.
Afiliación
  • Lorieul T; University of Montpellier Montpellier CEDEX 5 France.
  • Pearson KD; Institut national de recherche en informatique et en automatique (INRIA) Sophia-Antipolis, ZENITH team, Laboratory of Informatics Robotics and Microelectronics-Joint Research Unit, 34095 Montpellier CEDEX 5 France.
  • Ellwood ER; Department of Biological Science Florida State University 319 Stadium Drive Tallahassee Florida 32306 USA.
  • Goëau H; La Brea Tar Pits and Museum Natural History Museum of Los Angeles County 5801 Wilshire Boulevard Los Angeles California 90036 USA.
  • Molino JF; AMAP Université de Montpellier CIRAD, CNRS, INRA, IRD Montpellier France.
  • Sweeney PW; CIRAD, UMR AMAP Montpellier France.
  • Yost JM; AMAP Université de Montpellier CIRAD, CNRS, INRA, IRD Montpellier France.
  • Sachs J; Division of Botany Peabody Museum of Natural History Yale University P.O. Box 208118 New Haven Connecticut 06520 USA.
  • Mata-Montero E; Department of Biological Sciences California Polytechnic State University 1 Grand Avenue San Luis Obispo California 93407 USA.
  • Nelson G; Agriculture and Agri-Food Canada Ottawa Canada.
  • Soltis PS; School of Computing Costa Rica Institute of Technology Cartago Costa Rica.
  • Bonnet P; iDigBio Florida State University Tallahassee Florida 32306 USA.
  • Joly A; Florida Museum of Natural History University of Florida Gainesville Florida 32611 USA.
Appl Plant Sci ; 7(3): e01233, 2019 Mar.
Article en En | MEDLINE | ID: mdl-30937225
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2019 Tipo del documento: Article