Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning

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Standard

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. / Gao, Junfeng; Westergaard, Jesper Cairo; Sundmark, Ea Høegh Riis; Bagge, Merethe; Liljeroth, Erland; Alexandersson, Erik.

I: Knowledge-Based Systems, Bind 214, 106723, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Gao, J, Westergaard, JC, Sundmark, EHR, Bagge, M, Liljeroth, E & Alexandersson, E 2021, 'Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning', Knowledge-Based Systems, bind 214, 106723. https://doi.org/10.1016/j.knosys.2020.106723

APA

Gao, J., Westergaard, J. C., Sundmark, E. H. R., Bagge, M., Liljeroth, E., & Alexandersson, E. (2021). Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214, [106723]. https://doi.org/10.1016/j.knosys.2020.106723

Vancouver

Gao J, Westergaard JC, Sundmark EHR, Bagge M, Liljeroth E, Alexandersson E. Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems. 2021;214. 106723. https://doi.org/10.1016/j.knosys.2020.106723

Author

Gao, Junfeng ; Westergaard, Jesper Cairo ; Sundmark, Ea Høegh Riis ; Bagge, Merethe ; Liljeroth, Erland ; Alexandersson, Erik. / Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. I: Knowledge-Based Systems. 2021 ; Bind 214.

Bibtex

@article{b3843713c19f42f9af629200c00e6395,
title = "Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning",
author = "Junfeng Gao and Westergaard, {Jesper Cairo} and Sundmark, {Ea H{\o}egh Riis} and Merethe Bagge and Erland Liljeroth and Erik Alexandersson",
year = "2021",
doi = "10.1016/j.knosys.2020.106723",
language = "English",
volume = "214",
journal = "Knowledge-Based Systems",
issn = "0950-7051",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning

AU - Gao, Junfeng

AU - Westergaard, Jesper Cairo

AU - Sundmark, Ea Høegh Riis

AU - Bagge, Merethe

AU - Liljeroth, Erland

AU - Alexandersson, Erik

PY - 2021

Y1 - 2021

U2 - 10.1016/j.knosys.2020.106723

DO - 10.1016/j.knosys.2020.106723

M3 - Journal article

VL - 214

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

SN - 0950-7051

M1 - 106723

ER -

ID: 255212115