Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach

par Yildirim-Yalcin, Meral
Publié dans: Food science and technology international = Ciencia y tecnologia de los alimentos internacional (2025)

Comparison of modelling approaches for the prediction of kinetic growth parameters of Pseudomonas spp. in oyster mushroom (Pleurotus ostreatus)

par Tarlak, Fatih
Publié dans: Food science and technology international = Ciencia y tecnologia de los alimentos internacional (2023)

Development and validation of a one-step modelling approach for the determination of chicken meat shelf-life based on the growth kinetics of Pseudomonas spp

par Tarlak, Fatih
Publié dans: Food science and technology international = Ciencia y tecnologia de los alimentos internacional (2022)