Jung-Eek Son

According to our database, Jung-Eek Son authored at least 7 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Data-driven Prediction of Species-Specific Plant Responses to Spectral-Shifting Films from Leaf Phenotypic and Photosynthetic Traits.

Jun Hyeun Kang, Jung-Eek Son, Tae In Ahn

CoRR, November, 2025

2022

Non-Destructive Monitoring of Crop Fresh Weight and Leaf Area with a Simple Formula and a Convolutional Neural Network.

Taewon Moon, Dongpil Kim, Sungmin Kwon, Tae In Ahn, Jung-Eek Son

Sensors, 2022

2021

Accurate Imputation of Greenhouse Environment Data for Data Integrity Utilizing Two-Dimensional Convolutional Neural Networks.

Taewon Moon, Joon Woo Lee, Jung-Eek Son

Sensors, 2021

Knowledge transfer for adapting pre-trained deep neural models to predict different greenhouse environments based on a low quantity of data.

Taewon Moon, Jung-Eek Son

Comput. Electron. Agric., 2021

2020

Use of structurally-accurate 3D plant models for estimating light interception and photosynthesis of sweet pepper (<i>Capsicum annuum</i>) plants.

Dongpil Kim, Woo Hyun Kang, Inha Hwang, Jaewoo Kim, Jin Hyun Kim, Kyoung Sub Park, Jung-Eek Son

Comput. Electron. Agric., 2020

2019

Interpolation of greenhouse environment data using multilayer perceptron.

Taewon Moon, Seojung Hong, Ha Young Choi, Dae Ho Jung, Se Hong Chang, Jung-Eek Son

Comput. Electron. Agric., 2019

2018

On-site ion monitoring system for precision hydroponic nutrient management.

Woo-Jae Cho, Hak-Jin Kim, Dae-Hyun Jung, Dong-Wook Kim, Tae In Ahn, Jung-Eek Son

Comput. Electron. Agric., 2018