Digital functional phenomic descriptors featured from machine learning-driven image-based phenotyping improve the accuracy of classic descriptors: A case study on Arachis spp. and Phaseolus spp.
Date Issued
2023-08Language
enType
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Conejo Rodriguez, F.; Gonzalez Guzman, J.; Ramirez, G.J.; Urban, M.; Wenzl, P. (2023) Digital functional phenomic descriptors featured from machine learning-driven image-based phenotyping improve the accuracy of classic descriptors: A case study on Arachis spp. and Phaseolus spp. 17 sl.
Permanent link to cite or share this item: https://hdl.handle.net/10568/135933
CGIAR Author ORCID iDs
Juan José Gonzalez Guzmanhttps://orcid.org/0000-0002-7643-3430
Milan Oldřich Urbanhttps://orcid.org/0000-0002-3684-856X
Peter Wenzlhttps://orcid.org/0000-0003-4657-8468