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

書誌詳細
第一著者:	Sabacan, Ethan Josiah T. (著者)
その他の著者:	Dumelod, Benelyn D. (adviser.)
フォーマット:	学位論文
言語:	英語
主題:	Chemometrics. Authentication. UV-Vis spectrometry. Philippine honey. Food adulteration. Machine learning. Honey adulteration. Discriminant model.
オンライン･アクセス:	Available for University of the Philippines Diliman via Digital Archives. Click here to access.