Browsing byAuthorJung, Dae-Hyun

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Showing results 1 to 16 of 16

Issue DateTitleAuthor(s)
2022-09A Deep Learning Model to Predict Evapotranspiration and Relative Humidity for Moisture Control in Tomato GreenhousesJung, Dae-Hyun; Lee, Taek Sung; Kim, KangGeon; Park, Soo Hyun
2009-06A Magnetic Flux Guide for a SQUID MicroscopeKim, Shin-Hwan; Son, Jung-Young; Jung, Dae-Hyun; Kharkov, P. Pavlov; Park, Min-Chul
2020-06-24Application of a Spectroscopic Analysis-Based Portable Sensor for Phosphate Quantitation in Hydroponic SolutionsHan, HeeJo; Jung, Dae-Hyun; Kim, Hak-Jin; Lee, Taek Sung; Kim, Hyoung Seok; Kim, Ho-Youn; Park, Soo Hyun
2024-06Classification of Similarly Colored Medicinal Berries using Hyperspectral Images and Machine Learning ModelsKim, Min Chae; Yoon, Hyo In; Lee, Hyein; Park, So Jin; Yang, Jung Seok; Jung, Dae-Hyun; Park, Soo Hyun
2021-02Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise FilteringJung, Dae-Hyun; Kim, Na Yeon; Moon, Sang Ho; Jhin, Changho; Kim, Hak-Jin; Yang, Jung-Seok; Kim, Hyoung Seok; Lee, Taek Sung; Lee, Ju Young; Park, Soo Hyun
2022-06Depth image conversion model based on CycleGAN for growing tomato truss identificationJung, Dae-Hyun; Kim, Cheoul Young; Lee, Taek Sung; Park, Soo Hyun
2020-02Design Optimization of Proportional Plus Derivative Band Parameters Used in Greenhouse Ventilation by Response Surface MethodologyJung, Dae-Hyun; Kim, Hak-Jin; Kim, Joon Yong; Lee, Taek-Sung; Park, Soo Hyun
2023-06Development of a classification model for Cynanchum wilfordii and Cynanchum auriculatum using convolutional neural network and local interpretable model-agnostic explanation technologyJung, Dae-Hyun; Kim, Ho-Youn; Won, Jae Hee; Park, Soo Hyun
2024-06Evaluating the Accuracy of Machine Learning Classification Models for Similar Herbal Medicine Using Hyperspectral ImagingPark, So Jin; Yoon, Hyo In; Lee, HyeIn; Kim, Min-Chae; Yang,; Jung, Dae-Hyun; Ahn, Ju Yeon; Park, Soo Hyun
2019-06-01Fusion of Spectroscopy and Cobalt Electrochemistry Data for Estimating Phosphate Concentration in Hydroponic SolutionJung, Dae-Hyun; Kim, Hak-Jin; Kim, Hyoung Seok; Choi, Jaeyoung; Kim, Jeong Do; Park, Soo Hyun
2020-03Model Predictive Control via Output Feedback Neural Network for Improved Multi-Window Greenhouse Ventilation ControlJung, Dae-Hyun; Kim, Hak-Jin; Kim, Joon Yong; Lee, Taek Sung; Park, Soo Hyun
2023-04Plant growth information measurement based on object detection and image fusion using a smart farm robotCho, Songhee; Kim, Taehyeong; Jung, Dae-Hyun; Park, Soo Hyun; Na, Yunseong; Ihn, Yong Seok; Kim, KangGeon
2023-08Predicting Models for Plant Metabolites Based on PLSR, AdaBoost, XGBoost, and LightGBM Algorithms Using Hyperspectral Imaging of Brassica junceaYoon, Hyo In; Lee, Hyein; Yang, Jung-Seok; Choi, Jae-Hyeong; Jung, Dae-Hyun; Park, Yun Ji; Park, Jai-Eok; Kim, Sang Min; Park, Soo Hyun
2020-06Time-serial analysis of deep neural network models for prediction of climatic conditions inside a greenhouseJung, Dae-Hyun; Kim, Hyoung Seok; Jhin, Changho; Kim, Hak-Jin; Park, Soo Hyun
2019-01Validation testing of an ion-specific sensing and control system for precision hydroponic macronutrient managementJung, Dae-Hyun; Kim, Hak-Jin; Cho, Woo-Jae; Park, Soo Hyun; Yang, Seung-Hwan
2021-04Water Nitrate Remote Monitoring System with Self-Diagnostic Function for Ion-Selective ElectrodesJung, Dae-Hyun; Kim, Hak-Jin; Kim, Joon Yong; Park, Soo Hyun; Cho, Woo Jae

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