Principle Component Analysis for Classification of the Quality of Aromatic Rice

This research introduces an instrument for performing quality control on aromatic rice by utilizing feature extraction of Principle Component Analysis (PCA) method. Our proposed system (DNose v0.2) uses the principle of electronic nose or enose. Enose is a detector instrument that work based on clas...

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Veröffentlicht in:	arXiv.org 2020-09
Hauptverfasser:	Kartikadarma, Etika, Wijayanti, Sari, Wulandari, Sari Ayu, Fauzi Adi Rafrastara
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Control equipment Electronic noses Feature extraction Gas sensors Principal components analysis Quality control Smell
Online-Zugang:	Volltext
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