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Taek Sung Lee

Showing results (1-10 of 24) with videos related to

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Plant Phenomics (Washington, D.C.)|December 19, 2025
Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learningTae-Kyeong Noh, Min-Jung Yook, Taek-Sung Lee, et al.
Frontiers in Plant Science|November 8, 2024
NeRF-based 3D reconstruction pipeline for acquisition and analysis of tomato crop morphologyHong-Beom Choi, Jae-Kun Park, Soo Hyun Park, et al.
Plant Methods|June 17, 2022
Depth image conversion model based on CycleGAN for growing tomato truss identificationDae-Hyun Jung, Cheoul Young Kim, Taek Sung Lee, et al.
Optics Express|October 17, 2014
An equivalent configuration approach for the moiré patterns appearing due to the reflecting surface in display systemSeok-Joo Byun, Seok Yong Byun, Jangkyo Lee, et al.
Sensors (Basel, Switzerland)|April 3, 2020
Model Predictive Control via Output Feedback Neural Network for Improved Multi-Window Greenhouse Ventilation ControlDae-Hyun Jung, Hak-Jin Kim, Joon Yong Kim, et al.
Sensors (Basel, Switzerland)|December 14, 2011
Resolution enhancement in surface plasmon resonance sensor based on waveguide coupled mode by combining a bimetallic approachKyeong-Seok Lee, Ju Myeong Son, Dae-Yong Jeong, et al.
Food Chemistry|November 6, 2020
Production of low potassium kale with increased glucosinolate content from vertical farming as a novel dietary option for renal dysfunction patientsYang-Ju Son, Jai-Eok Park, Junho Kim, et al.
Plant Methods|March 17, 2024
AraDQ: an automated digital phenotyping software for quantifying disease symptoms of flood-inoculated Arabidopsis seedlingsJae Hoon Lee, Unseok Lee, Ji Hye Yoo, et al.
Optics Express|October 6, 2012
Fiber-optic waveguide coupled surface plasmon resonance sensorJae Heon Ahn, Tae Yeon Seong, Won Mok Kim, et al.
Frontiers in Plant Science|April 1, 2022
A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry LeavesDae-Hyun Jung, Jeong Do Kim, Ho-Youn Kim, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Plant Phenomics (Washington, D.C.)|December 19, 2025
Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learningTae-Kyeong Noh, Min-Jung Yook, Taek-Sung Lee, et al.
Frontiers in Plant Science|November 8, 2024
NeRF-based 3D reconstruction pipeline for acquisition and analysis of tomato crop morphologyHong-Beom Choi, Jae-Kun Park, Soo Hyun Park, et al.
Plant Methods|June 17, 2022
Depth image conversion model based on CycleGAN for growing tomato truss identificationDae-Hyun Jung, Cheoul Young Kim, Taek Sung Lee, et al.
Optics Express|October 17, 2014
An equivalent configuration approach for the moiré patterns appearing due to the reflecting surface in display systemSeok-Joo Byun, Seok Yong Byun, Jangkyo Lee, et al.
Sensors (Basel, Switzerland)|April 3, 2020
Model Predictive Control via Output Feedback Neural Network for Improved Multi-Window Greenhouse Ventilation ControlDae-Hyun Jung, Hak-Jin Kim, Joon Yong Kim, et al.
Sensors (Basel, Switzerland)|December 14, 2011
Resolution enhancement in surface plasmon resonance sensor based on waveguide coupled mode by combining a bimetallic approachKyeong-Seok Lee, Ju Myeong Son, Dae-Yong Jeong, et al.
Food Chemistry|November 6, 2020
Production of low potassium kale with increased glucosinolate content from vertical farming as a novel dietary option for renal dysfunction patientsYang-Ju Son, Jai-Eok Park, Junho Kim, et al.
Plant Methods|March 17, 2024
AraDQ: an automated digital phenotyping software for quantifying disease symptoms of flood-inoculated Arabidopsis seedlingsJae Hoon Lee, Unseok Lee, Ji Hye Yoo, et al.
Optics Express|October 6, 2012
Fiber-optic waveguide coupled surface plasmon resonance sensorJae Heon Ahn, Tae Yeon Seong, Won Mok Kim, et al.
Frontiers in Plant Science|April 1, 2022
A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry LeavesDae-Hyun Jung, Jeong Do Kim, Ho-Youn Kim, et al.
Pageof 3