University of Oulu

Varaston inventointitarkkuuden parantaminen dronen ja irtotiheyden määrittämisen avulla

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Author: Viitala, Eeva-Stiina1
Organizations: 1University of Oulu, Faculty of Technology, Industrial Engineering and Management
Format: ebook
Version: published version
Access: restricted
  Theses with restricted access are only available for reading on the e-thesis workstations.
Pages: 105
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Language: Finnish
Published: Oulu : E.-S. Viitala, 2023
Publish Date: 2023-08-01
Thesis type: Master's thesis (tech)
Tutor: Majava, Jukka
Kauppila, Osmo
Reviewer: Majava, Jukka
Kauppila, Osmo
Copyright information: © Eeva-Stiina Viitala, 2023. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.