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Classificação de Óleos e Margarinas Por Espectroscopia FTIR em Conjunto Com Aprendizado de Máquina by dayannaufgagronomia is a document available to read on EtoBox.
What is Classificação de Óleos e Margarinas Por Espectroscopia FTIR em Conjunto Com Aprendizado de Máquina about?
This study explores the use of ATR-FTIR spectroscopy combined with machine learning techniques to classify and identify various oils and margarines, including njangsa seed oil and its adulterants. The research demonstrates high accuracy in classifying pure oils and margarines, with KNN showing the best performance at 97%. Additionally, the study quantifies the degree of adulteration in these products, achieving R2 values ranging from 45% to 99% across different models.
- Author
- dayannaufgagronomia
- Language
- EN