computorg / published-202204-deeplearning-occupancy-lynx

"Trade-of between deep learning for species identication...", by Olivier Gimenez et al

Home Page:http://computo.sfds.asso.fr/published-202204-deeplearning-occupancy-lynx/

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Trade-off between deep learning for species identification and inference about predator-prey co-occurrence

A Reproducible R workflow integrating models in computer vision and ecological statistic

  • Olivier Gimenez (CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France)
  • Maëlis Kervellec (CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France)
  • Jean-Baptiste Fanjul (Fédérations Départementales des Chasseurs du Jura, Arlay, France)
  • Anna Chaine (CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France)
  • Lucile Marescot (CBGP, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France)
  • Yoann Bollet (Fédération Départementale des Chasseurs de l’Ain, Bourg-en-Bresse, France)
  • Christophe Duchamp (Office Français de la Biodiversité, Unité Espèces à enjeux, Gap, France)

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DOI:10.57750/yfm2-5f45 review 1 review 2 SWH Creative Commons License ISSN 2824-7795

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"Trade-of between deep learning for species identication...", by Olivier Gimenez et al

http://computo.sfds.asso.fr/published-202204-deeplearning-occupancy-lynx/

License:Creative Commons Attribution 4.0 International


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