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ARS Home Southeast Area Athens, Georgia U.S. National Poultry Research Center Quality and Safety Assessment Research Unit People & Locations







Tae-Sung  Shin

                                                                (PhD)
                        Quality and Safety Assessment Research Unit

                        




                        
                        Information Technology Specialist
                        Phone: (706) 546-3503
                        
                        
                        Fax: (706) 546-1031(Employee information on this page comes from the REE Directory. Please contact your front office staff to update the REE Directory.)
                            **Publications**
                                                (Clicking on the reprint icon
                                                    Reprint Icon
                                                    will take you to the publication reprint.)Coupling hyperspectral imaging with machine learning algorithms for detecting polyethylene (PE) and polyamide (PA) in soils
                                                        

- (Peer Reviewed Journal)Huan, C., Shin, T., Park, B., Ro, K.S., Jeong, C., Jeon, H., Tan, P. 2024. Coupling hyperspectral imaging with machine learning algorithms for detecting microplastics in soils. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2024.134346.Classification between live and dead foodborne bacteria with hyperspectral microscope imagery and machine learning
                                                        

- (Peer Reviewed Journal)Park, B., Shin, T., Wang, B., Mcdonogh, B., Fong, A. 2023. Classification between live and dead foodborne bacteria with hyperspectral microscope imagery and machine learning. Journal of Microbiological Methods. https://doi.org/10.1016/j.mimet.2023.106739.Automated segmentation of foodborne bacteria from chicken rinse with hyperspectral microscope imaging and deep learning methods
                                                        

- (Peer Reviewed Journal)Park, B., Shin, T., Kang, R., Fong, A., Mcdonogh, B., Yoon, S.C. 2023. Automated segmentation of foodborne bacteria from chicken rinse with hyperspectral microscope imaging and deep learning methods. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2023.107802.Improving blueberry firmness classification with spectral and textural features of microstructures using hyperspectral microscope imaging and deep learning
                                                        

- (Peer Reviewed Journal)Park, B., Shin, T., Cho, J., Lim, J., Park, K. 2022. Improving blueberry firmness classification with spectral and textural features of microstructures using hyperspectral microscope imaging and deep learning. Postharvest Biology and Technology. https://doi.org/10.1016/j.postharvbio.2022.112154.Characterizing hyperspectral microscope imagery for classification of blueberry firmness with deep learning methods
                                                        

- (Peer Reviewed Journal)Park, B., Shin, T., Cho, J., Lim, J., Park, K. 2021. Characterizing hyperspectral microscope imagery for classification of blueberry firmness with deep learning methods. Agronomy Journal. https://doi.org/10.3390/agronomy12010085.Development of Online Egg Grading Information Management System with Data Warehouse Technique

- (Peer Reviewed Journal)Yoon, S.C., Shin, T., Lawrence, K.C., Jones, D.R. 2020. Development of Online Egg Grading Information Management System with Data Warehouse Technique. Applied Engineering in Agriculture. 36(4), pp.589-604..Hyperspectral image recovery using a color camera for detecting colonies of foodborne pathogens on agar plate
                                                        

- (Peer Reviewed Journal)Yoon, S.C., Shin, T., Heitschmidt, G.W., Lawrence, K.C., Park, B., Gamble, G.R. 2019. Hyperspectral image recovery using a color camera for detecting colonies of foodborne pathogens on agar plate. Journal of Biosystems Engineering. https://doi.org/10.1007/s42853-019-00024-y.Hyperspectral imaging using RGB color for foodborne pathogen detection

- (Peer Reviewed Journal)Yoon, S.C., Shin, T., Lawrence, K.C., Heitschmidt, G.W., Park, B., Gamble, G.R. 2015. Hyperspectral imaging using RGB color for foodborne pathogen detection. Journal of Electronic Imaging. 24(4):043008.Hyperspectral imaging using a color camera and its application for pathogen detection
                                                        

- (Proceedings)Yoon, S.C., Shin, T., Heitschmidt, G.W., Lawrence, K.C., Park, B., Gamble, G.R. 2015. Hyperspectral imaging using a color camera and its application for pathogen detection. Proceedings for Electronic Imaging Meeting. https://doi.org/10.1117/12.2083137.Hyperspectral image reconstruction using RGB color for foodborne pathogen detection on agar plates

- (Proceedings)Yoon, S.C., Shin, T., Park, B., Lawrence, K.C., Heitschmidt, G.W. 2014. Hyperspectral image reconstruction using RGB color for foodborne pathogen detection on agar plates. Proceedings of SPIE. V. 9024, Image Processing: Machine Vision Applications VII, 902401 (March 7,);doi:10:1117/12.2041085.


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