Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641))

B.R. Hussein; O.A. Malik; W.-H. Ong; J.W.F. Slik

doi:10.1016/j.ecoinf.2023.102134

Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641))

B.R. Hussein
, O.A. Malik
, W.-H. Ong
, J.W.F. Slik

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

1 Citation (Scopus)

Original language	Undefined/Unknown
Journal	Ecological Informatics
DOIs	https://doi.org/10.1016/j.ecoinf.2023.102134
Publication status	Published - 2023

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10.1016/j.ecoinf.2023.102134

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Hussein, B. R., Malik, O. A., Ong, W.-H., & Slik, J. W. F. (2023). Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641)). Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2023.102134

Hussein, B.R. ; Malik, O.A. ; Ong, W.-H. et al. / Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641)). In: Ecological Informatics. 2023.

@article{1db0ab6991784ce4be992fc194a3844a,

title = "Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641))",

author = "B.R. Hussein and O.A. Malik and W.-H. Ong and J.W.F. Slik",

year = "2023",

doi = "10.1016/j.ecoinf.2023.102134",

language = "Undefined/Unknown",

journal = "Ecological Informatics",

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}

Hussein, BR, Malik, OA, Ong, W-H & Slik, JWF 2023, 'Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641))', Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2023.102134

Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641)). / Hussein, B.R.; Malik, O.A.; Ong, W.-H. et al.
In: Ecological Informatics, 2023.

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

TY - JOUR

T1 - Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641))

AU - Hussein, B.R.

AU - Malik, O.A.

AU - Ong, W.-H.

AU - Slik, J.W.F.

PY - 2023

Y1 - 2023

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U2 - 10.1016/j.ecoinf.2023.102134

DO - 10.1016/j.ecoinf.2023.102134

M3 - Article

SN - 1574-9541

JO - Ecological Informatics

JF - Ecological Informatics

ER -

Hussein BR, Malik OA, Ong WH, Slik JWF. Corrigendum to “Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review” [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641] (Ecological Informatics (2022) 69, (S1574954122000905), (10.1016/j.ecoinf.2022.101641)). Ecological Informatics. 2023. doi: 10.1016/j.ecoinf.2023.102134

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