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: Pathogenic fungi and bacteria such as Pectobacterium atrosepticum , Clavibacter michiganensis subsp. sepedonicus , Verticillium albo-atrum , and Rhizoctonia solani were the major microorganism which causes diseases in seed potato during postharvest process. Current detection method for disease-infected seed potato relies on human inspection, which is subjective, inaccurate and labor-intensive method. In this study, a reflectance spectroscopy was used to classify sound and disease- infected seed potatoes with the spectral range from 400 to 1100 nm. Partial least square discriminant analysis (PLS-DA) with various preprocessing methods was used to investigate the feasibility of classification between sound and disease- infected seed potatoes. The classification accuracy was above 97 % for discriminating disease seed potatoes from sound ones. The results show that Vis / NIR reflectance method has good potential for non-destructive sorting for disease- infected seed potatoes. Key words

Development of non-destructive measurement method for discriminating disease-infected seed potato using visible/near-Infrared reflectance technique