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  Automated plant species identification—Trends and future directions

Wäldchen, J., Rzanny, M., Seeland, M., & Mäder, P. (2018). Automated plant species identification—Trends and future directions. PLoS Computational Biology, 14(4): e1005993. doi:10.1371/journal.pcbi.1005993.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-15AB-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-F5AA-D
Genre: Journal Article

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http://dx.doi.org/10.1371/journal.pcbi.1005993 (Publisher version)
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 Creators:
Wäldchen, Jana1, Author           
Rzanny, Michael1, Author           
Seeland, Marco, Author
Mäder, Patrick, Author
Affiliations:
1Flora Incognita, Dr. Jana Wäldchen, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3240484              

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 Dates: 2018-04-05
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC2833
DOI: 10.1371/journal.pcbi.1005993
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 14 (4) Sequence Number: e1005993 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1