Nondestructive classification of soft rot disease in napa cabbage using hyperspectral imaging analysis.

ABSTRACT: Identification of soft rot disease in napa cabbage, an essential ingredient of kimchi, is challenging at the industrial scale. Therefore, nondestructive imaging techniques are necessary. Here, we investigated the potential of hyperspectral imaging (HSI) processing in the near-infrared region (900-1700 nm) for classifying napa cabbage quality using nondestructive measurements. We determined the microbiological and physicochemical qualitative properties of napa cabbage for intercomparison of HSI information, extracted HSI characteristics from hyperspectral images to predict and classify freshness, and established a novel approach for classifying healthy and rotten napa cabbage. The second derivative Savitzky-Golay method for data preprocessing was implemented, followed by wavelength selectio

SUBMITTER: Song H 

PROVIDER: S-EPMC9424267 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature