| Automatic Pest Counting from Pheromone Trap Images Using Deep Learning Object Detectors for Matsucoccus thunbergianae Monitoring SJ Hong, I Nam, SY Kim, E Kim, CH Lee, S Ahn, IK Park, G Kim Insects 12 (4), 342, 2021 | 63 | 2021 |
| Moth detection from pheromone trap images using deep learning object detectors SJ Hong, SY Kim, E Kim, CH Lee, JS Lee, DS Lee, J Bang, G Kim Agriculture 10 (5), 170, 2020 | 56 | 2020 |
| Application of ensemble neural-network method to integrated sugar content prediction model for citrus fruit using Vis/NIR spectroscopy. SY Kim, SJ Hong, E Kim, CH Lee, G Kim Journal of Food Engineering 338, 111254, 2023 | 37 | 2023 |
| Nondestructive prediction of pepper seed viability using single and fusion information of hyperspectral and X-ray images SJ Hong, S Park, A Lee, SY Kim, E Kim, CH Lee, G Kim Sensors and Actuators A: Physical 350, 114151, 2023 | 22 | 2023 |
| Neural network based prediction of soluble solids concentrationin oriental melon using VIS/NIR spectroscopy SY Kim, SJ Hong, EC Kim, CH Lee, G Kim Applied Engineering in Agriculture 37 (4), 653-663, 2021 | 20 | 2021 |
| Calibration and image processing of aerial thermal image for UAV application in crop water stress estimation Y Han, BA Tarakey, SJ Hong, SY Kim, E Kim, CH Lee, G Kim Journal of Sensors 2021 (1), 5537795, 2021 | 19 | 2021 |
| Application of amodal segmentation on cucumber segmentation and occlusion recovery S Kim, SJ Hong, J Ryu, E Kim, CH Lee, G Kim Computers and Electronics in Agriculture 210, 107847, 2023 | 18 | 2023 |
| CNN-based object detection and growth estimation of plum fruit (Prunus mume) using RGB and depth imaging techniques EC Kim, SJ Hong, SY Kim, CH Lee, S Kim, HJ Kim, G Kim Scientific Reports 12 (1), 20796, 2022 | 17 | 2022 |
| Design, fabrication, and performance evaluation of portable and large-area blackbody system JY Bae, W Choi, SJ Hong, S Kim, E Kim, CH Lee, Y Han, H Hur, KS Lee, ... Sensors 20 (20), 5836, 2020 | 13 | 2020 |
| Nondestructive freshness evaluation of mackerel fish using Vis/NIR hyperspectral imaging and multivariate analysis J Ryu, SJ Hong, S Park, E Kim, CH Lee, S Kim, A Ismail, CS Lee, DH Kim, ... Journal of Food Engineering 377, 112086, 2024 | 7 | 2024 |
| Time-series prediction of onion quality changes in cold storage based on long short-term memory networks SY Kim, S Park, SJ Hong, E Kim, NI Nurhisna, J Park, G Kim Postharvest Biology and Technology 213, 112927, 2024 | 6 | 2024 |
| Nondestructive prediction of rice seed viability using spectral and spatial information modeling of visible–near infrared hyperspectral images SJ Hong, T Yang, SY Kim, EC Kim, CH Lee, NI Nurhisna, S Kim, SW Roh, ... Journal of the ASABE 65 (5), 997-1006, 2022 | 6 | 2022 |
| X-ray Imaging Assessment of Internal Seed Morphology as a Nondestructive Viability Prediction for Triploid Watermelon Seeds SJ Hong, A Lee, SY Kim, EC Kim, J Ryu, DY Kim, G Kim Journal of the ASABE 66 (5), 1099-1108, 2023 | 1 | 2023 |
| Quality Estimation of Net Packaged Onions during Storage Periods using Machine Learning Techniques N Nandita Irsaulul, H Suk-Ju, R Seungwoo KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY 28 (3), 237-244, 2022 | 1 | 2022 |
| 시설채소 수직재배 시스템을 위한 농업로봇 적용기술 김성제， 김상연， 김응찬， 이창협， 김기석 한국원예학회 학술발표요지, 41-41, 2024 | | 2024 |
| 고추 선별을 위한 인공지능 로봇 기술의 적용 김규민， 김상연， 이창협， 김성제， 김민현， 황석하， 김기석 한국농업기계학회 학술발표논문집 29 (2), 252-252, 2024 | | 2024 |
| 적외선 기술을 이용한 벼 유수 검출 황석하， 이창협， 장하린， 이수빈， 김민현， 고영준， 김기석 한국농업기계학회 학술발표논문집 29 (2), 85-85, 2024 | | 2024 |
| 콩 작물의 비생물적 스트레스 진단을 위한 적외선 열화상 기술의 적용 노승우， 김응찬， 이창협， 김성제， 백민규， 성동현， 김기석 한국농업기계학회 학술발표논문집 29 (2), 40-40, 2024 | | 2024 |
| Non-destructive Evaluation of Microbial Quality of Beef (M. Longissimus Thoracis Muscle) using Visible/NIR Hyperspectral Imaging and Machine Learning Methods S Park, SJ Hong, CH Lee, EC Kim, SY Kim, C Jo, G Kim Journal of Animal Science and Technology, 2024 | | 2024 |
| 사과 내부 결함 검출을 위한 근적외선 영상처리 기술 개발 기초 연구 이창협， 노승우， 김대영 한국농업기계학회 학술발표논문집 28 (2), 293-293, 2023 | | 2023 |
Suk-Ju HongDept. Smart Bio-industrial Mechanical Engineering, Kyungpook Natl. Univ.Email verificata su knu.ac.kr
