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As good as human experts in detecting plant roots in minirhizotron images but efficient and reproducible: the convolutional neural network “RootDetector”

Crossref DOI link: https://doi.org/10.1038/s41598-023-28400-x

Published Online: 2023-01-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Peters, Bo

Blume-Werry, Gesche

Gillert, Alexander

Schwieger, Sarah

von Lukas, Uwe Freiherr

Kreyling, Juergen
Funding

Funding for this research was provided by:

European Social Fund (ESF/14-BM-A55-0013/19, ESF/14-BM-A55-0013/19, ESF/14-BM-A55-0015/19, ESF/14-BM-A55-0035/16, ESF/14-BM-A55-0015/19, ESF/14-BM-A55-0013/19)

Ministerium für Bildung, Wissenschaft und Kultur Mecklenburg-Vorpommern

Universität Greifswald
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Text and Data Mining valid from 2023-01-25

Version of Record valid from 2023-01-25
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Article History

Received: 9 March 2022

Accepted: 18 January 2023

First Online: 25 January 2023

Competing interests

: The authors declare no competing interests.

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