Image-based automated recognition of 31 poaceae species: the most relevant perspectives

HIGHLIGHTS

  • who: Michael Rzanny from the Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany, Data-intensive Schiller University, Jena, Germany have published the research: Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives, in the Journal: (JOURNAL)
  • what: An important aspect of this study is to assess the predictive value of vegetative parts of Poaceae species which are present for longer time periods throughout the year. The aims of this study are fourfold: The authors evaluate six image perspectives regarding the information they convey for Poaceae species identification. The authors . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?