frfst-2022-979028 1..12

Data mining for prediction and interpretation of bacterial population behavior in food Junpei Hosoe 1†, Junya Sunagawa 2†, Shinji Nakaoka 2 , Shige Koseki 1 and Kento Koyama 1 * 1 Graduate School of Agricultural Science, Hokkaido University Kita-9, Sapporo, Japan, 2 Graduate School of Life Science, Hokkaido University Kita-10 Nishi-8, Sapporo, Japan Although bacterial population behavior has been investigated in a variety of foods in the past 40 years, it is difficult to obtain desired...

food science, processing, quality, color, shelf life
frfst-2022-979028 1..12