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- W2284650761 abstract "Near infrared (NIR) spectroscopy was used to classify normal and artificially aged nonviable corn (Zea mays L., cv. 'Suwon19') seeds. The spectra at 1100-2500 nm were scanned with normal and artificially aged single seeds and analyzed by principle component analysis (PCA). To discriminate normal seeds from artificially aged seeds, a calibration modeling set was developed with a discrimi- nant partial least square 2 (PLS 2) method. The calibration model derived from PLS 2 resulted in 100% classification accuracy of normal and artificially aged (aged) seeds from the raw, the 1 st and 2 nd derivative spectra. The prediction accuracy of the unknown normal seeds was 88, 100 and 97% from the raw, the 1 st and 2 nd derivative spectra, and that of the unknown aged seeds was 100% from all the raw, the 1 st and 2 nd derivative spectra, respectively. The results showed a possibility to separate corn seeds into viable and non-viable using NIR spectroscopy." @default.
- W2284650761 created "2016-06-24" @default.
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- W2284650761 date "2008-09-01" @default.
- W2284650761 modified "2023-09-22" @default.
- W2284650761 title "Nondestructive classification between normal and artificially aged corn (Zea mays L.) seeds using near infrared spectroscopy." @default.
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