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Machine learning methods for automatic segmentation of imag..:
Okyere, Frank Gyan
;
Cudjoe, Daniel M
;
Sadeghi-Tehran, Pouria
...
Okyere FG, Cudjoe D, Sadeghi-Tehran P,et al., (2023) Machine learning methods for automatic segmentation of images of field-and glasshouse-based plants for high-throughput phenotyping. Plants, Volume 12, Issue 10, May 2023, Article number 2035. , 2023
Link:
https://doi.org/10.3390/plants12102035
RT Journal T1
Machine learning methods for automatic segmentation of images of field-and glasshouse-based plants for high-throughput phenotyping
UL https://suche.suub.uni-bremen.de/peid=base-ftcranfield:oai:dspace.lib.cranfield.ac.uk:1826_19876&Exemplar=1&LAN=DE A1 Okyere, Frank Gyan A1 Cudjoe, Daniel M A1 Sadeghi-Tehran, Pouria A1 Virlet, Nicolas A1 Riche, Andrew B A1 Castle, March A1 Greche, Latifa A1 Mohare, Fady A1 Simms, Daniel M A1 Mhada, Manal A1 Hawkesford, Malcolm John PB MDPI YR 2023 K1 feature extraction K1 imaging K1 machine learning K1 phenotyping K1 segmentation JF Okyere FG, Cudjoe D, Sadeghi-Tehran P,et al., (2023) Machine learning methods for automatic segmentation of images of field-and glasshouse-based plants for high-throughput phenotyping. Plants, Volume 12, Issue 10, May 2023, Article number 2035 LK http://dx.doi.org/https://doi.org/10.3390/plants12102035 DO https://doi.org/10.3390/plants12102035 SF ELIB - SuUB Bremen
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