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pro vyhledávání: '"Gytis Bernotas"'
Autor:
Charles Veys, Fokion Chatziavgerinos, Ali AlSuwaidi, James Hibbert, Mark Hansen, Gytis Bernotas, Melvyn Smith, Hujun Yin, Stephen Rolfe, Bruce Grieve
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-12 (2019)
Abstract Background The use of spectral imaging within the plant phenotyping and breeding community has been increasing due its utility as a non-invasive diagnostic tool. However, there is a lack of imaging systems targeted specifically at plant scie
Externí odkaz:
https://doaj.org/article/183c839b84544884ae571ba2d7f84380
Autor:
Mark F. Hansen, Gytis Bernotas, Alistair J. McCormick, Lyndon N. Smith, Livia C T Scorza, Karen J. Halliday, Melvyn L. Smith, Hales Ian
Publikováno v:
GigaScience
Bernotas, G, Scorza, L C T, Hansen, M F, Hales, I J, Halliday, K J, Smith, L N, Smith, M L & McCormick, A 2019, ' A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth ', GigaScience, vol. 8, no. 5, giz056, pp. 1-15 . https://doi.org/10.1093/gigascience/giz056
Bernotas, G, Scorza, L C T, Hansen, M F, Hales, I J, Halliday, K J, Smith, L N, Smith, M L & McCormick, A 2019, ' A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth ', GigaScience, vol. 8, no. 5, giz056, pp. 1-15 . https://doi.org/10.1093/gigascience/giz056
© The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distr
Autor:
Mark F. Hansen, Stephen A. Rolfe, Bruce Grieve, James Hibbert, Hujun Yin, Charles Veys, Fokion Chatziavgerinos, Ali AlSuwaidi, Melvyn L. Smith, Gytis Bernotas
Publikováno v:
Plant Methods
Plant Methods, Vol 15, Iss 1, Pp 1-12 (2019)
Veys, C, Chatziavgerinos, F, Bin Ghaith Alsuwaidi, A R S A, Hibbert, J, Hansen, M, Bernotas, G, Smith, M, Yin, H, Rolfe, S & Grieve, B 2019, ' Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape ', Plant Methods, vol. 15, no. 40, 4, pp. 1-12 . https://doi.org/10.1186/s13007-019-0389-9
Plant Methods, Vol 15, Iss 1, Pp 1-12 (2019)
Veys, C, Chatziavgerinos, F, Bin Ghaith Alsuwaidi, A R S A, Hibbert, J, Hansen, M, Bernotas, G, Smith, M, Yin, H, Rolfe, S & Grieve, B 2019, ' Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape ', Plant Methods, vol. 15, no. 40, 4, pp. 1-12 . https://doi.org/10.1186/s13007-019-0389-9
Background: The use of spectral imaging within the plant phenotyping and breeding community has been increasing due its utility as a non-invasive diagnostic tool. However, there is a lack of imaging systems targeted specifically at plant science duti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688f76bf54265a8c3089a6ee88827544