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  Deep learning in plant phenological research: A systematic literature review

Katal, N., Rzanny, M., Mäder, P., & Wäldchen, J. (2022). Deep learning in plant phenological research: A systematic literature review. Frontiers in Plant Science, 13: 805738. doi:10.3389/fpls.2022.805738.

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https://doi.org/10.3389/fpls.2022.805738 (Publisher version)
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 Creators:
Katal, Negin1, Author           
Rzanny, Michael2, Author           
Mäder, Patrick, Author
Wäldchen, Jana2, Author           
Affiliations:
1Flora Incognita, Dr. Jana Wäldchen, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3240484              
2Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Dates: 2022-02-212022-03-07
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC3843
DOI: 10.3389/fpls.2022.805738
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Title: Frontiers in Plant Science
  Abbreviation : Front. Plant Sci.
Source Genre: Journal
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Publ. Info: Lausanne : Frontiers Media
Pages: - Volume / Issue: 13 Sequence Number: 805738 Start / End Page: - Identifier: ISSN: 1664-462X
CoNE: https://pure.mpg.de/cone/journals/resource/1664462X