Amdani, Rima Zuriah and Rahmawati, Laila and Zahra, Aryanis Mutia and Susanti, Novita Dwi and Hariadi, Hari and Listanti, Riana (2022) The Potency of Visible and Near-Infrared Reflectance Spectroscopy to Profiling and Classify the Common Rice Flour. In: 5th International Conference on Food and Agriculture, ICOFA 2022, 05 November 2022, Banyuwangi.
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Abstract
Visible and Near Infrared (Vis-NIR) is a rapid and non-destructive technology has a potential to profiling and classify the four rice flour (brown rice flour, white rice flour, red rice flour, and black rice flour) by means the wavelength 400-1000nm for measurement. Chemometrics analysis (PCA, PCA-DA, and PLS-DA) were used to preprocessing spectra. The wavelengths responsible for profiling and classifying the samples were found 410-450nm, 570-600nm, 660-680 nm, and 970-990nm in the PCA and PCA-DA model. The result showed that using Vis-NIR with the PCA, PCA-DA and PLS-DA model was able to be profiling with a recognition rate 98-100 was achieved. © Published under licence by IOP Publishing Ltd.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Cited by: 0; All Open Access, Gold Open Access |
Subjects: | S Agriculture > S Agriculture (General) |
Divisions: | Faculty of Agricultural Technology > Agricultural and Biosystems Engineering |
Depositing User: | Diah Ari Damayanti |
Date Deposited: | 26 Jun 2025 08:27 |
Last Modified: | 26 Jun 2025 08:27 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/19328 |