Development of a rapid and affordable machine learning-based screening technique for honey adulteration using UV-visible absorption spectr

Bibliographische Detailangaben
1. Verfasser:	Sabacan, Ethan Josiah T. (VerfasserIn)
Weitere Verfasser:	Dumelod, Benelyn D. (adviser.)
Format:	Abschlussarbeit
Sprache:	Englisch
Schlagworte:	Chemometrics. Authentication. UV-Vis spectrometry. Philippine honey. Food adulteration. Machine learning. Honey adulteration. Discriminant model.
Online-Zugang:	Available for University of the Philippines Diliman via Digital Archives. Click here to access.