DSpace at KIST

Browsing byAuthorLee, Unseok

Jump to:
All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
가 나 다 라 마 바 사 아 자 차 카 타 파 하
  • Sort by:
  • In order:
  • Results/Page
  • Authors/Record:

Showing results 1 to 7 of 7

Issue DateTitleAuthor(s)
2018-04-27An automated, high-throughput plant phenotyping system using machine learning based plant segmentation and image analysisLee, Unseok; Chang, Sungyul; Putra, Gian Anantrio; Kim, Hyoungseok; Kim, Dong Hwan
2022-08Application of 3D-volumetric analysis and hyperspectral imaging systems for investigation of heterosis and cytoplasmic effects in pepperChang, Sungyul; Lee, Unseok; Kim, Jin-Baek; Jo, Yeong Deuk
2024-03AraDQ: an automated digital phenotyping software for quantifying disease symptoms of flood-inoculated Arabidopsis seedlingsLee, Jae Hoon; Lee, Unseok; Yoo, Ji Hye; Lee, Taek Sung; Jung, Je Hyeong; Kim, Hyoung Seok
2024-07Development of a deep-learning phenotyping tool for analyzing image-based strawberry phenotypesNdikumana, Jean Nepo; Lee, Unseok; Yoo, Ji Hye; Yeboah, Samuel; Park, Soo Hyun; Lee, Taek Sung; Yeoung, Young Rog; Kim, Hyoung Seok
2019-06Image Analysis for Measuring Disease Symptom to Bacterial Soft Rot in PotatoLee, Unseok; Silva, Renato Rodrigues; Kim, Changsoo; Kim, Hyoungseok; Heo, Seong; Park, In Sung; Kim, Wook; Jansky, Shelley; Chung, Yong Suk
2021-09Lettuce Growth Pattern Analysis Using U-Net Pre-Trained with ArabidopsisChang, Sungyul; Lee, Unseok; Hong, Min Jeong; Jo, Yeong Deuk; Kim, Jin-Baek
2021-11-11Time-Series Growth Prediction Model Based on U-Net and Machine Learning in ArabidopsisChang, Sungyul; Lee, Unseok; Hong, Min Jeong; Jo, Yeong Deuk; Kim, Jin-Baek
1

BROWSE