Taewon Moon

According to our database, Taewon Moon authored at least 4 papers between 2019 and 2022.

Collaborative distances:

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

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

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