Review on food quality assessment using machine learning and electronic nose system

• Published in: Biosensors and bioelectronics. X Vol. 14; p. 100365
• Main Authors: Anwar, Hassan, Anwar, Talha, Murtaza, Shamas
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2023; Elsevier
• Subjects: Adulteration; Food quality assessment; Machine learning; Sensors; Food quality assessment; Sensors; Adulteration; Machine learning

Quality evaluation in the food industry presents a significant challenge due to the necessity for high-cost equipment and extensive analysis to ensure that products reaching consumers are safe and of the highest quality. Existing technologies often require substantial resources, trained personnel, a...