Conventional methods for detecting seed-borne fungi are laborious and time-consuming, requiring specialized analysts for characterization of pathogenic fungi on seed. Multispectral imaging (MSI) combined with machine vision was used as an alternative method to detect (Eidam) Sharif [ (Eidam)] in black oat seeds ( Schreb). The seeds were inoculated with () and then incubated for 24, 72 and 120 h.
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