Modelling bark thickness for Scots pine (Pinus sylvestris L.) and common oak (Quercus robur L.) with recurrent neural networks

• Dominika Cywicka ,

  Roles Conceptualization, Methodology, Writing – original draft

  * E-mail: dominika.cywicka@pk.edu.pl

  Affiliation Faculty of Computer Science and Telecommunications, Cracow University of Technology, Cracow, Poland

  https://orcid.org/0000-0001-7375-3693

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• Agnieszka Jakóbik,

  Roles Conceptualization, Formal analysis, Writing – original draft

  Affiliation Faculty of Computer Science and Telecommunications, Cracow University of Technology, Cracow, Poland

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• Jarosław Socha,

  Roles Project administration, Writing – review & editing

  Affiliation Department of Forest Resources Management, Faculty of Forestry, the University of Agriculture in Krakow, Cracow, Poland

  https://orcid.org/0000-0002-9568-5764

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• Daryna Pasichnyk,

  Roles Data curation, Project administration

  Affiliation Department of Forest Resources Management, Faculty of Forestry, the University of Agriculture in Krakow, Cracow, Poland

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• Adrian Widlak

  Roles Visualization, Writing – review & editing

  Affiliation Faculty of Computer Science and Telecommunications, Cracow University of Technology, Cracow, Poland

  https://orcid.org/0000-0001-9256-0061

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