Kento Koyama

Predicting sensory evaluation of spinach freshness using machine learning model and digital images

Kento Koyama, Marin Tanaka, Byeong-Hyo Cho et al. · PLoS ONE · 2021 · 69 citations · Full text

Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database

Satoko Hiura, Shige Koseki, Kento Koyama · Scientific Reports · 2021 · 58 citations · Full text

Determination of “Hass” Avocado Ripeness During Storage Based on Smartphone Image and Machine Learning Model

Byeong-Hyo Cho, Kento Koyama, Edenio Olivares Díaz et al. · Food and Bioprocess Technology · 2020 · 38 citations

Shelf Life, Machine Learning Model, Agricultural Economics +7

Do bacterial cell numbers follow a theoretical Poisson distribution? Comparison of experimentally obtained numbers of single cells with random number generation via computer simulation

Kento Koyama, Hidekazu Hokunan, Mayumi Hasegawa et al. · Food Microbiology · 2016 · 33 citations

Biology, Random Number Generation, Bacteriology +7

Non-destructive quality classification of rice taste properties based on near-infrared spectroscopy and machine learning algorithms

Edenio Olivares Díaz, Haruka Iino, Kento Koyama et al. · Food Chemistry · 2023 · 32 citations

Rice Taste Properties, Flavoromics, Data Science +9