The Potency of Visible and Near-Infrared Reflectance Spectroscopy to Profiling and Classify the Common Rice Flour

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)
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

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