An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis

por Lee, Unseok, Chang, Sungyul, Putra, Gian Anantrio, Kim, Hyoungseok, Kim, Dong Hwan
Publicado 2018

High-Throughput Phenotyping (HTP) Data Reveal Dosage Effect at Growth Stages in Arabidopsis thaliana Irradiated by Gamma Rays

por Chang, Sungyul, Lee, Unseok, Hong, Min Jeong, Jo, Yeong Deuk, Kim, Jin-Baek
Publicado 2020

Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis

por Chang, Sungyul, Lee, Unseok, Hong, Min Jeong, Jo, Yeong Deuk, Kim, Jin-Baek
Publicado 2021

Comparative Mapping of the Wild Perennial Glycine latifolia and Soybean (G. max) Reveals Extensive Chromosome Rearrangements in the Genus Glycine

por Chang, Sungyul, Thurber, Carrie S., Brown, Patrick J., Hartman, Glen L., Lambert, Kris N., Domier, Leslie L.
Publicado 2014

Implication of high variance in germplasm characteristics

por Yu, Ju-Kyung, Chang, Sungyul, Han, Gyung Deok, Kim, Seong-Hoon, Ahn, Jinhyun, Park, Jieun, Kim, Yoonha, Kim, Jaeyoung, Chung, Yong Suk
Publicado 2023