Artificial intelligence application for classification and selection of fish gelatin packaging film produced with incorporation of palm oil and plant essential oils

Abstract The k-Nearest Neighbor (KNN) algorithm was used to classify and select biodegradable packaging produced from fish gelatine incorporated with palm oil clove oregano essential oils. All reinforced films are highly resistant attraction, an emphasis on a sample of value 53.18 MPa. Also, the addition oils increases elasticity thickness packages. packages have antioxidant antimicrobial properties inhibition zone for S. aureus 11.73 11.23 mm film oil, respectively. KNN proved be efficient classification selection packaging. results highlighted as best presenting highest values activity, tensile strength, elongation. Palm is interesting alternative applications in due its properties, abundance, low cost. Packaging made gelatin vegetable promising food applications.