IVL Swedish Environmental Research Institute

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Klassificering av ostronyngel med hjälp av artificiell intelligens
IVL Swedish Environmental Research Institute.
IVL Swedish Environmental Research Institute.
IVL Swedish Environmental Research Institute.
IVL Swedish Environmental Research Institute.
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2020 (Swedish)Report (Other academic)
Abstract [sv]

IVL har i ett samarbete mellan projekt finansierade av Jordbruksverket, Interreg (MarGenII) och H2020 (AquaVitae) utvecklat ett bildidentifieringsprogram som kan särskilja yngel av de inhemska platta ostronen i Sverige från de invasiva stillahavsostronen. Över 98 procent av bilderna klassificeras korrekt, visar projektets slutrapport

Place, publisher, year, edition, pages
IVL Svenska Miljöinstitutet, 2020.
Series
C report ; C509
Keywords [sv]
Ostron, AI
Identifiers
URN: urn:nbn:se:ivl:diva-73Local ID: 213033ISBN: 978-91-7883-167-8 OAI: oai:DiVA.org:ivl-73DiVA, id: diva2:1549492
Available from: 2021-05-05 Created: 2021-05-05Bibliographically approved

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Wilhelmsson, JensStrand, ÅsaWrange, Anna-LisaHunter, KarlJohansson, Torbjörn
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf