Classification of olive cultivars by machine learning based on olive oil chemical composition

• Published in: Food chemistry Vol. 429; p. 136793
• Main Authors: Skiada, Vasiliki, Katsaris, Panagiotis, Kambouris, Manousos E., Gkisakis, Vasileios, Manoussopoulos, Yiannis
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 15.12.2023
• Subjects: algorithms; artificial intelligence; Artificial intelligent models; Authenticity; Chemical composition; coasts; Cultivar classification; cultivar identification; cultivars; extra-virgin olive oil; food chemistry; Greece; Italy; Machine learning; Olive oil; olives; principal component analysis; traceability; Greece; Italy; Authenticity; Cultivar classification; Artificial intelligent models; Chemical composition; Olive oil; Machine learning

•Classification of olive cultivars by machine learning based on olive oil chemical composition.•Olive oil chemical characteristics of Greek and Italian cultivars were studied.•Exploratory data analysis was used to reveal discriminative patterns.•The XGBoost algorithm was used for olive cultivar and...