Review: Application of Artificial Intelligence in Phenomics. - Shona Nabwire; Hyun-Kwon Suh; Moon S. Kim 001; In-Suck Baek; Byoung-Kwan Cho (Sensors, 2021)

High-Throughput Phenotyping Approach for the Evaluation of Heat Stress in Korean Ginseng (Panax ginseng Meyer) Using a Hyperspectral Reflectance Image. - Eunsoo Park; Yun-Soo Kim; Mohammad Kamran Omari; Hyun-Kwon Suh; Mohammad Akbar Faqeerzada; Moon S. Kim 001; In-Suck Baek; Byoung-Kwan Cho (Sensors, 2021)

Nondestructive discrimination of seedless from seeded watermelon seeds by using multivariate and deep learning image analysis. - Perez Mukasa; Collins Wakholi; Mohammad Akbar Faqeerzada; Hanim Z. Amanah; Hangi Kim; Rahul Joshi; Hyun-Kwon Suh; Geonwoo Kim; Hoonsoo Lee; Moon S. Kim 001; In-Suck Baek; Byoung-Kwan Cho (Comput. Electron. Agric., 2022)

Yield Monitoring Service with Time Series Representation of Growth from Crop Images. - Seungtaek Oh; Sung Kyeom Kim; Jaewon Moon; Seungwook Choi; Soonho Lee; Seungwoo Kum; Hyun-Kwon Suh (ICTC, 2023)

Novel method for crop growth tracking with deep learning model on an Edge Rail Camera. - Seungwoo Kum; Jaewon Moon; Seungtaek Oh; Hyun-Kwon Suh; Hyeonji Park; Ha Seon Sim; Jung Su Jo; Sung Kyeom Kim; Seungwook Choi; Francisco Andres Pérez (Comput. Electron. Agric., 2025)