A novel chlorophyll fluorescence-based approach for mowing area classification

Nils Rottmann; Ralf Bruder; Achim Schweikard; Elmar Rückert

doi:10.1109/JSEN.2020.3032722

A novel chlorophyll fluorescence-based approach for mowing area classification

Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rückert

Chair of Cyber Physical Systems (190)

Institute of Neurogenetics

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

Original language	English
Article number	9234496
Pages (from-to)	4500-4508
Number of pages	9
Journal	IEEE sensors journal
Volume	21
Issue number	4
DOIs	https://doi.org/10.1109/JSEN.2020.3032722
Publication status	Published - 15 Feb 2021

Bibliographical note

Publisher Copyright:
© 2001-2012 IEEE.

Keywords

fluorescence
Optical sensors
service robots

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10.1109/JSEN.2020.3032722

Cite this

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title = "A novel chlorophyll fluorescence-based approach for mowing area classification",

keywords = "fluorescence, Optical sensors, service robots",

author = "Nils Rottmann and Ralf Bruder and Achim Schweikard and Elmar R{\"u}ckert",

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day = "15",

doi = "10.1109/JSEN.2020.3032722",

language = "English",

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AU - Rottmann, Nils

AU - Bruder, Ralf

AU - Schweikard, Achim

AU - Rückert, Elmar

PY - 2021/2/15

Y1 - 2021/2/15

KW - fluorescence

KW - Optical sensors

KW - service robots

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M3 - Article

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SP - 4500

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JO - IEEE sensors journal

JF - IEEE sensors journal

IS - 4

M1 - 9234496

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A novel chlorophyll fluorescence-based approach for mowing area classification

Bibliographical note

Keywords

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Cite this