Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties

Apollo Ian C. David; Maria Leonora C. Guico

doi:10.1109/TENCON.2018.8650116

Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties

Apollo Ian C. David, Maria Leonora C. Guico

Department of Electronics, Computer, and Communications Engineering

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	689-694
Number of pages	6
ISBN (Electronic)	9781538654576
DOIs	https://doi.org/10.1109/TENCON.2018.8650116
State	Published - Jul 2 2018
Event	2018 IEEE Region 10 Conference, TENCON 2018 - Jeju, Korea, Republic of Duration: Oct 28 2018 → Oct 31 2018

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2018-October
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2018 IEEE Region 10 Conference, TENCON 2018
Country/Territory	Korea, Republic of
City	Jeju
Period	10/28/18 → 10/31/18

ASJC Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering

Keywords

AGRICULTURE
MACHINE LEARNING
PATTERN RECOGNITION
Panama DISEASE
SOIL PARAMETERS

Access to Document

10.1109/TENCON.2018.8650116

Cite this

David, A. I. C., & Guico, M. L. C. (2018). Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties. In Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference (pp. 689-694). Article 8650116 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2018.8650116

Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties. / David, Apollo Ian C.; Guico, Maria Leonora C.
Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 2018. p. 689-694 8650116 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

David, AIC & Guico, MLC 2018, Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties. in Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference., 8650116, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., pp. 689-694, 2018 IEEE Region 10 Conference, TENCON 2018, Jeju, Korea, Republic of, 10/28/18. https://doi.org/10.1109/TENCON.2018.8650116

David AIC, Guico MLC. Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties. In Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc. 2018. p. 689-694. 8650116. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2018.8650116

David, Apollo Ian C. ; Guico, Maria Leonora C. / Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties. Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 689-694 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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