Litcius/Paper detail

Machine learning approach for predicting Fusarium culmorum and F. proliferatum growth and mycotoxin production in treatments with ethylene-vinyl alcohol copolymer films containing pure components of essential oils

Andrea Tarazona, Eva M. Mateo, José V. Gómez, Rafael Gavara, Misericordia Jiménez, Fernando Mateo

2020International Journal of Food Microbiology33 citationsDOIOpen Access PDF

Topics & Concepts

ZearalenoneMycotoxinFood scienceWater activityFusarium culmorumMelonChemistryHorticultureFusariumBiologyWater contentGeotechnical engineeringEngineeringMycotoxins in Agriculture and FoodEssential Oils and Antimicrobial ActivityPlant Pathogens and Fungal Diseases
Machine learning approach for predicting Fusarium culmorum and F. proliferatum growth and mycotoxin production in treatments with ethylene-vinyl alcohol copolymer films containing pure components of essential oils | Litcius