Reproducing works of Calder. - Dongkyoo Lee; Hee-Jung Bae; Chang Tae Kim; Dong-Chun Lee; Dae-Hyun Jung; Nam-Kyung Lee; Kyoo-Ho Lee; Nakhoon Baek; Jong Won Lee; Kwan Woo Ryu; James K. Hahn (Comput. Animat. Virtual Worlds, 2001)

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)

Validation testing of an ion-specific sensing and control system for precision hydroponic macronutrient management. - Dae-Hyun Jung; Hak-Jin Kim; Woo-Jae Cho; Soo Hyun Park; Seung-Hwan Yang (Comput. Electron. Agric., 2019)

Hybrid Signal-Processing Method Based on Neural Network for Prediction of NO3, K, Ca, and Mg Ions in Hydroponic Solutions Using an Array of Ion-Selective Electrodes. - Woo-Jae Cho; Hak-Jin Kim; Dae-Hyun Jung; Hee-Jo Han; Young-Yeol Cho (Sensors, 2019)

Fusion of Spectroscopy and Cobalt Electrochemistry Data for Estimating Phosphate Concentration in Hydroponic Solution. - Dae-Hyun Jung; Hak-Jin Kim; Hyoung Seok Kim; Jaeyoung Choi; Jeong Do Kim; Soo Hyun Park (Sensors, 2019)

Time-serial analysis of deep neural network models for prediction of climatic conditions inside a greenhouse. - Dae-Hyun Jung; Hyoung Seok Kim; Changho Jhin; Hak-Jin Kim; Soo Hyun Park (Comput. Electron. Agric., 2020)

Application of a Spectroscopic Analysis-Based Portable Sensor for Phosphate Quantitation in Hydroponic Solutions. - Hee-Jo Han; Dae-Hyun Jung; Hak-Jin Kim; Taek Sung Lee; Hyoung Seok Kim; Ho-Youn Kim; Soo Hyun Park (J. Sensors, 2020)

Model Predictive Control via Output Feedback Neural Network for Improved Multi-Window Greenhouse Ventilation Control. - Dae-Hyun Jung; Hak-Jin Kim; Joon Yong Kim; Taek Sung Lee; Soo Hyun Park (Sensors, 2020)

Water Nitrate Remote Monitoring System with Self-Diagnostic Function for Ion-Selective Electrodes. - Dae-Hyun Jung; Hak-Jin Kim; Joon Yong Kim; Soo Hyun Park; Woo-Jae Cho (Sensors, 2021)

Simulator-Based Study of the Response Time and Defensive Behavior of Drivers in Unexpected Dangers at an Intersection. - Myeongkyu Lee; Sehan Kim; Dae-Hyun Jung; Hyojun Lee; Jihun Choi; Hyunseo Han; Ji Hyun Yang (AutomotiveUI (Adjunct Proceedings), 2022)

Plant growth information measurement based on object detection and image fusion using a smart farm robot. - Songhee Cho; Taehyeong Kim; Dae-Hyun Jung; Soo Hyun Park; Yunseong Na; Yong Seok Ihn; KangGeon Kim (Comput. Electron. Agric., 2023)

Airborne hyperspectral imaging for early diagnosis of kimchi cabbage downy mildew using 3D-ResNet and leaf segmentation. - Lukas Wiku Kuswidiyanto; Pingan Wang; Hyun-Ho Noh; Hee-Young Jung; Dae-Hyun Jung; Xiongzhe Han (Comput. Electron. Agric., 2023)

A hybrid CNN-Transformer model for identification of wheat varieties and growth stages using high-throughput phenotyping. - Yu-Jin Jeon; Min Jeong Hong; Chan Seop Ko; So Jin Park; Hyein Lee 009; Won-Gyeong Lee; Dae-Hyun Jung (Comput. Electron. Agric., 2025)