A novel chlorophyll fluorescence-based approach for mowing area classification

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A novel chlorophyll fluorescence-based approach for mowing area classification. / Rottmann, Nils; Bruder, Ralf; Schweikard, Achim et al.
In: IEEE sensors journal, Vol. 21, No. 4, 9234496, 15.02.2021, p. 4500-4508.

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

Harvard

Rottmann, N, Bruder, R, Schweikard, A & Rückert, E 2021, 'A novel chlorophyll fluorescence-based approach for mowing area classification', IEEE sensors journal, vol. 21, no. 4, 9234496, pp. 4500-4508. https://doi.org/10.1109/JSEN.2020.3032722

APA

Rottmann, N., Bruder, R., Schweikard, A., & Rückert, E. (2021). A novel chlorophyll fluorescence-based approach for mowing area classification. IEEE sensors journal, 21(4), 4500-4508. Article 9234496. https://doi.org/10.1109/JSEN.2020.3032722

Vancouver

Rottmann N, Bruder R, Schweikard A, Rückert E. A novel chlorophyll fluorescence-based approach for mowing area classification. IEEE sensors journal. 2021 Feb 15;21(4):4500-4508. 9234496. doi: 10.1109/JSEN.2020.3032722

Author

Rottmann, Nils ; Bruder, Ralf ; Schweikard, Achim et al. / A novel chlorophyll fluorescence-based approach for mowing area classification. In: IEEE sensors journal. 2021 ; Vol. 21, No. 4. pp. 4500-4508.

Bibtex - Download

@article{5a0a70b2a60345ec9e7bda44bbb18980,
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",
note = "Publisher Copyright: {\textcopyright} 2001-2012 IEEE.",
year = "2021",
month = feb,
day = "15",
doi = "10.1109/JSEN.2020.3032722",
language = "English",
volume = "21",
pages = "4500--4508",
journal = "IEEE sensors journal",
issn = "1530-437X",
publisher = "Institute of Electrical and Electronics Engineers",
number = "4",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A novel chlorophyll fluorescence-based approach for mowing area classification

AU - Rottmann, Nils

AU - Bruder, Ralf

AU - Schweikard, Achim

AU - Rückert, Elmar

N1 - Publisher Copyright: © 2001-2012 IEEE.

PY - 2021/2/15

Y1 - 2021/2/15

KW - fluorescence

KW - Optical sensors

KW - service robots

UR - http://www.scopus.com/inward/record.url?scp=85099781672&partnerID=8YFLogxK

UR - https://cps.unileoben.ac.at/wp/IEEESensorsJournal2020Rottmann.pdf

U2 - 10.1109/JSEN.2020.3032722

DO - 10.1109/JSEN.2020.3032722

M3 - Article

AN - SCOPUS:85099781672

VL - 21

SP - 4500

EP - 4508

JO - IEEE sensors journal

JF - IEEE sensors journal

SN - 1530-437X

IS - 4

M1 - 9234496

ER -

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