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.
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evaluation, gene banks, machine learning, agronomic characters, phenotyping, imagery, classification, functional diversity