Byeong-Hyo Cho

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

Development of Monitoring Robot System for Tomato Fruits in Hydroponic Greenhouses

Dasom Seo, Byeong-Hyo Cho, Kyoung-Chul Kim · Agronomy · 2021 · 67 citations · Full text

Convolutional Neural Network, Precision Agriculture, Engineering +25

Determination of banana quality indices during the ripening process at different temperatures using smartphone images and an artificial neural network

Byeong-Hyo Cho, Shigenobu Koseki · Scientia Horticulturae · 2021 · 52 citations

Precision Agriculture, Engineering, Banana Quality Indices +10

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

Determination of ‘Hass’ avocado ripeness during storage by a smartphone camera using artificial neural network and support vector regression

Byeong-Hyo Cho, Kento Koyama, Shigenobu Koseki · Journal of Food Measurement & Characterization · 2021 · 27 citations

Agricultural Economics, Smartphone Camera, Artificial Neural Network +6