Dr. Moon S. Kim Profile

Dr. Moon S. Kim

Distinguished Senior Research Scientist at Agricultural Research Service

SPIE Involvement:

Conference Chair | Author | Editor

Publications (122)

SPIE Journal Paper | 8 February 2024 Open Access

Automated classification of citrus disease on fruits and leaves using convolutional neural network generated features from hyperspectral images and machine learning classifiers

Pappu Kumar Yadav, Thomas Burks, Jianwei Qin, Moon Kim, Quentin Frederick, Megan M. Dewdney, Mark A. Ritenour

JARS, Vol. 18, Issue 01, 014512, (February 2024) https://doi.org/10.1117/12.10.1117/1.JRS.18.014512

KEYWORDS: Diseases and disorders, Education and training, Image classification, Reflectivity, Matrices, Classification systems, Principal component analysis, Hyperspectral imaging, Cameras, Machine learning

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Proceedings Article | 14 June 2023 Presentation

Federated learning for contamination detection and data privacy in food service industry (Conference Presentation)

Hamed Taheri Gorji, Mahdi Saeedi, Hossein Kashani Zadeh, Kaylee Husarik, Jianwei Qin, Diane Chan, Insuck Baek, Moon Kim, Alireza Akhbardeh, Stanislav Sokolov, Nicholas MacKinnon, Fartash Vasefi, Kouhyar Tavakolian

Proceedings Volume PC12545, PC1254505 (2023) https://doi.org/10.1117/12.2665343

KEYWORDS: Contamination, Industry, Data modeling, Luminescence, Evolutionary algorithms, Image segmentation, Safety, Pathogens, Instrument modeling, Imaging technologies

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Proceedings Article | 13 June 2023 Paper

Efficacy of sanitization in healthcare using deep learning and multiwavelength fluorescence imaging

Luke Woods, Connor Propp, Mitch Sueker, Kaylee Husarik, Hamed Taheri Gorji, Jianwei Qin, Insuck Baek, Moon Kim, Diane Chan, Stanislav Sokolov, Nicholas MacKinnon, Fartash Vasefi, Kouhyar Tavakolian

Proceedings Volume 12545, 125450H (2023) https://doi.org/10.1117/12.2665702

KEYWORDS: Medicine, Contamination, Cameras, Imaging systems, Fluorescence, Fluorescence imaging, Inspection, Ultraviolet radiation, Light emitting diodes, Telecommunications

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Proceedings Article | 13 June 2023 Paper

Dual-excitation fluorescence imaging system for contamination detection in food facilities

Connor Propp, Luke Woods, Hamed Taheri Gorji, Kaylee Husarik, Mitchell Sueker, Jianwei Qin, Insuck Baek, Moon Kim, Diane Chan, Stanislav Sokolov, Nicholas MacKinnon, Fartash Vasefi, Kouhyar Tavakolian

Proceedings Volume 12545, 125450G (2023) https://doi.org/10.1117/12.2665364

KEYWORDS: Contamination, Imaging systems, Fluorescence, Fluorescence imaging, Cameras, Light sources and illumination, Emission wavelengths, Ultraviolet radiation, Chlorophyll, Acquisition tracking and pointing

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Proceedings Article | 13 June 2023 Poster + Paper

Disinfection of Escherichia coli and Salmonella enterica using the contamination sanitization inspection and disinfection (CSI-D) device

J. McCoy Sanders, V. Alarcon, G. Marquis, A. Tabb, J. Van Kessel, J. Sonnier, B. Haley, I. Baek, J. Qin, M. Kim, F. Vasefi, S. Sokolov, R. Hellberg

Proceedings Volume 12545, 125450F (2023) https://doi.org/10.1117/12.2664049

KEYWORDS: Contamination, Inspection, Bacteria, Light emitting diodes, Ultraviolet radiation, Pathogens, Light sources and illumination, Diseases and disorders

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Proceedings Article | 13 June 2023 Presentation + Paper

Cleanliness assessment in long-term care facilities using deep learning and multiwavelength fluorescence imaging

Kaylee Husarik, Hamed Taheri Gorji, Jianwei Qin, Diane Chan, Insuck Baek, Moon Kim, Mona Sohrabi Thompson, Nicholas MacKinnon, Stanislav Sokolov, Fartash Vasefi, Michael Johnson, Melanie Metz, Kouhyar Tavakolian

Proceedings Volume 12545, 1254507 (2023) https://doi.org/10.1117/12.2663393

KEYWORDS: Contamination, Fluorescence imaging, Fluorescence, Light sources and illumination, Cameras, Imaging systems, Optical testing, Deep learning, Acquisition tracking and pointing, Medicine

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Proceedings Article | 13 June 2023 Presentation + Paper

Classifying E. coli concentration levels on multispectral fluorescence images with discrete wavelet transform, deep learning, and support vector machine

Pappu Kumar Yadav, Thomas Burks, Quentin Frederick, Jianwei Qin, Moon Kim, Mark Ritenour, Kunal Dudhe

Proceedings Volume 12545, 1254508 (2023) https://doi.org/10.1117/12.2663933

KEYWORDS: Education and training, Image classification, Discrete wavelet transforms, Deep learning, Machine learning, Fluorescence, Contamination, Wavelets, Lithium, Biofilms

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Escherichia coli (E. coli) bacteria when transmitted to humans by infected fruits like citrus can cause serious illnesses like bloody diarrhea and kidney disease (Hemolytic Uremic Syndrome). Therefore, inspection for the presence of E.coli colonies on fruits and vegetables would be beneficial for food safety if an appropriate sensor and detection approach were available. In this paper, we evaluate the efficacy of SafetySpect’s Contamination, Sanitization Inspection, and Disinfection (CSI-D+) system, which consists of an UV camera, an RGB camera, and illumination at two fluorescence excitation wavelengths, ultraviolet C (UVC) at 275 nm and violet at 405 nm, respectively. For this study, bacterial population at four different concentration levels were inoculated on black rubber slides. The black rubber slides provided a fluorescence-free background for benchmark tests on E.coli-containing droplets, since even fruit peels have a subdued fluorescence response which appears as low intensity noise in the background of the UV images. To increase the number of image datasets to avoid overfitting issue of deep leaning and machine learning models, synthetic datasets were generated using StyleGAN2- ADA generative network. As a first approach, the fluorescence images were denoised using discrete wavelet transform (DWT) and reconstructed denoised images were used to train StyleGAN2-ADA for generating larger datasets which were later used by VGG19 with SoftMax classifier. In the second approach, VGG19 was used to extract features and then Linear and RBF SVM were used for classification. It was found that using Symlets family of DWT denoised images at an average PSNR value of 25.59 dB. VGG19 with SoftMax was able to classify the images at overall accuracy of 84% without synthetic dataset and at 94% by using augmented dataset generated by StyleGAN2-ADA. It was also found that using RBF SVM increased the accuracy by 2% to 96% and linear SVM by 3% to 97%. The findings reported here could be used to detect presence of E. coli bacterial population on citrus peels for taking the necessary actions for decontamination.

Proceedings Article | 13 June 2023 Presentation + Paper

Development of a multimodal sensing system for automated and intelligent food safety inspection

Jianwei Qin, Moon Kim, Jeehwa Hong, Hyunjeong Cho, Jo Ann Van Kessel, Insuck Baek, Kuanglin Chao

Proceedings Volume 12545, 1254504 (2023) https://doi.org/10.1117/12.2663710

KEYWORDS: Raman spectroscopy, Safety, Sensing systems, Inspection, Data modeling, Biological samples, Bacteria, Fluorescence, Spectrometers, Machine learning

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Proceedings Article | 13 June 2023 Presentation + Paper

Citrus disease classification with convolution neural network generated features and machine learning classifiers on hyperspectral image data

Pappu Kumar Yadav, Thomas Burks, Jianwei Qin, Moon Kim, Quentin Frederick, Megan Dewdney, Mark Ritenour

Proceedings Volume 12539, 1253902 (2023) https://doi.org/10.1117/12.2665768

KEYWORDS: Diseases and disorders, Image classification, Reflectivity, Principal component analysis, Convolution, Classification systems, Hyperspectral imaging, Imaging systems, Deep learning, Hyperspectral systems

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Citrus black spot (CBS) is a quarantine fungal disease caused by Phyllosticta citricarpa that can limit market access for fruit. It causes lesions on fruit surfaces and may lead to premature fruit drops, reducing yield. Leaf symptoms are uncommon for CBS, although the fungus reproduces in leaf litter. Similarly, citrus canker is another serious disease caused by the bacterium Xanthomonas citri subsp. citri (syn. X. axonopodis pv. citri) and leads to economic losses for growers from fruit drops and blemishes. Therefore, early detection and management of groves infected by CBS or canker via fruit and/or leaf inspection can benefit the Florida citrus industry. Manual inspection to classify disease symptoms on either fruits or leaves is a tedious and labor intensive process. Hence, there is need to develop computer vision system for autonomous classification of fruits and leaves that can speed up their management in fields. In this paper, we demonstrate the capability of convolution neural network (CNN)-based deep learning along with classical machine learning (ML) based computer vision algorithms to classify ‘Valencia’ orange fruit surfaces with CBS infection along with four other conditions and ‘Furr’ mandarin leaves with canker and four other conditions. Fruits with CBS and four other conditions (marketable, greasy spot, melanose and wind scar) were classified using a custom shallow CNN with SoftMax and RBF SVM at an overall accuracy of 89.8% and 92.1%, respectively. Similarly, a custom VGG16 network with SoftMax could classify canker leaves with F1-score of 85% and overall accuracy of 82% including other four conditions (control/healthy, greasy spot, melanose and scab). In addition, it was found that by replacing SoftMax with RBF SVM in the VGG16 network, the overall classification accuracy improved to 93% i.e., an increment of 11% points (13.41%). The preliminary findings reported in this paper demonstrate the capability of HSI system for automated citrus fruit and leaf disease classification using shallow and deep CNN generated features and ML classifiers.

Proceedings Article | 1 June 2022 Presentation + Paper

Identification of aflatoxin contamination in corn kernels using line-scan Raman imaging

Feifei Tao, Haibo Yao, Zuzana Hruska, Kanniah Rajasekaran, Jianwei Qin, Moon Kim

Proceedings Volume 12120, 1212002 (2022) https://doi.org/10.1117/12.2624965

KEYWORDS: Raman spectroscopy, Contamination, Line scan image sensors, Chemical analysis, Agriculture, Statistical modeling, Imaging systems, Hyperspectral imaging

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Proceedings Article | 1 June 2022 Presentation + Paper

Development of a hyperspectral imaging system for plant health monitoring in space crop production

Jianwei Qin, Oscar Monje, Matthew Nugent, Joshua Finn, Aubrie O’Rourke, Ralph Fritsche, Insuck Baek, Diane Chan, Moon Kim

Proceedings Volume 12120, 1212004 (2022) https://doi.org/10.1117/12.2618635

KEYWORDS: Reflectivity, Imaging systems, Luminescence, Hyperspectral imaging, Cameras, Space operations, RGB color model, Line scan image sensors, Light emitting diodes, Software development

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Proceedings Article | 30 May 2022 Presentation

Fluorescence imaging system to detect chicken carcasses affected with septicemia-toxemia in poultry processing plants

Amit Morey, Jianwei Qin, Diane Chan, Insuck Baek, Moon Kim, Nicholas MacKinnon, Stanislav Sokolov, Alireza Akhbardeh, Fartash Vasefi, M. Telah Black

Proceedings Volume PC12120, PC121200G (2022) https://doi.org/10.1117/12.2624095

KEYWORDS: Luminescence, Imaging systems, Inspection, Safety, Machine learning, Food inspection

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Proceedings Article | 30 May 2022 Presentation

Prototype imaging system for monitoring food safety in space crop production systems

Oscar Monje, Ralph Fritsche, Jianwei Qin, Moon Kim

Proceedings Volume PC12120, PC1212008 (2022) https://doi.org/10.1117/12.2623306

KEYWORDS: Imaging systems, Prototyping, Safety, Luminescence, Reflectivity, Spectroscopy, Light emitting diodes, Cameras

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Proceedings Article | 30 May 2022 Presentation

Development of classification model for detecting aflatoxin on ground maize based on SWIR hyperspectral imaging.

Insuck Baek, Yong-Kyoung Kim, Moon Kim

Proceedings Volume PC12120, PC121200A (2022) https://doi.org/10.1117/12.2622396

KEYWORDS: Short wave infrared radiation, Hyperspectral imaging, Infrared radiation, Infrared imaging, Infrared detectors, Detector development, Chemical analysis, Agriculture

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Proceedings Article | 30 May 2022 Presentation

Food safety assurance and training of meat inspectors using handheld fluorescence imaging with deep learning detection algorithm

Hamed Taheri Gorji, Seyed Mojtaba Shahabi, Lucas Tande, Akshay Sharma, Jianwei Qin, Diane Chan, Insuck Baek, Fartash Vasefi, Nicholas MacKinnon, Alireza Akhbardeh, Moon Kim, Kouhyar Tavakolian

Proceedings Volume PC12120, PC121200I (2022) https://doi.org/10.1117/12.2623363

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Proceedings Article | 30 May 2022 Presentation

Using handheld multispectral fluorescence imaging system to detect foodborne disease on fresh cut leafy greens

Thomas Burks, Siddhartha Mehta, Jianwei Qin, Moon Kim, Mark Ritenour

Proceedings Volume PC12120, PC121200H (2022) https://doi.org/10.1117/12.2623730

KEYWORDS: Luminescence, Multispectral imaging, Imaging systems, Inspection, Contamination, Ultraviolet radiation, Pathogens, Imaging devices, Forward error correction, Distribution

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Proceedings Article | 30 May 2022 Presentation

Handheld dual-wavelength fluorescence imaging system for improving food safety: case study in restaurants and institutional kitchens

Kaylee Husarik, Hamed Taheri Gorji, Jianwei Qin, Diane Chan, Insuck Baek, Moon Kim, Nicholas MacKinnon, Stanislav Sokolov, Alireza Akhbardeh, Fartash Vasefi, Kouhyar Tavakolian

Proceedings Volume PC12120, PC121200F (2022) https://doi.org/10.1117/12.2626007

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Proceedings Article | 30 May 2022 Presentation

Autonomous robot with fluorescence imaging system for invisible contamination detection and pathogen deactivation

Megan Tellinghuisen, Conner Carriere, Kaylee Husarik, Tarek Elderini, Hamed Taheri Gorji, Jianwei Qin, Diane Chan, Insuck Baek, Moon Kim, Nicholas MacKinnon, Stanislav Sokolov, Alireza Akhbardeh, Fartash Vasefi, Kouhyar Tavakolian

Proceedings Volume PC12120, PC121200J (2022) https://doi.org/10.1117/12.2623748

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Proceedings Article | 12 April 2021 Presentation + Paper

Accuracy and reliability of predictions of E. coli concentrations in water of irrigation ponds from drone-based imagery as affected by parameters of the random forest algorithm

B. Morgan, M. Stocker, Y. Pachepsky, M. Kim

Proceedings Volume 11754, 117540F (2021) https://doi.org/10.1117/12.2586220

KEYWORDS: Machine learning, Cameras, Visible radiation, Safety, Organisms, Infrared radiation, Infrared imaging

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Proceedings Article | 10 November 2020 Open Access

Spectral imaging technologies for food safety and quality evaluations

Moon Kim

Proceedings Volume 11525, 115250K (2020) https://doi.org/10.1117/12.2583743

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Proceedings Article | 8 November 2020 Presentation + Paper

Hyperspectral band selection for food fraud application using self-organizing maps (SOM)

John Chauvin, Fartash Vasefi, Kouhyar Tavakolian, Hossein Salehfar, Gregory Bearman, Nicholas MacKinnon, Jianwei Qin, Diane Chan, Moon Kim

Proceedings Volume 11525, 115250Z (2020) https://doi.org/10.1117/12.2580611

KEYWORDS: Wavelet packet decomposition, Luminescence, Hyperspectral imaging, Genetics, Machine learning, Infrared radiation, Infrared imaging, Image classification

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Proceedings Article | 18 June 2020 Presentation + Paper

Multimode hyperspectral data fusion for fish species identification using supervised and reinforcement learning

Ray Duran, Fartash Vasefi, Kouhyar Tavakolian, Nicholas MacKinnon, Alireza Akhbardeh, Jianwei Qin, Chansong Hwang, Insuck Baek, Walter Schmidt, Moon Kim, Rachel Isaacs , Ayse Gamze Yilmaz, Rosalee Hellberg

Proceedings Volume 11421, 114210L (2020) https://doi.org/10.1117/12.2559226

KEYWORDS: Data fusion, Raman spectroscopy, Short wave infrared radiation

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Proceedings Article | 19 May 2020 Presentation + Paper

Reconstruction of hyperspectral spectra of fish fillets using multi-wavelength imaging and point spectroscopy

John Chauvin, Fartash Vasefi, Kouhyar Tavakolian, Alireza Akhbardeh, Nicholas MacKinnon, Jianwei Qin, Diane Chan, Moon Kim

Proceedings Volume 11421, 114210I (2020) https://doi.org/10.1117/12.2559230

KEYWORDS: Luminescence, Reconstruction algorithms, Reflectivity, Imaging spectroscopy, Imaging systems, Hyperspectral imaging, Genetic algorithms, Optimization (mathematics), Statistical analysis, Spectroscopy

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Proceedings Article | 18 May 2020 Paper

Raman imaging for detection of corn kernels infected with Aspergillus flavus: a preliminary study

Feifei Tao, Haibo Yao, Zuzana Hruska, Kanniah Rajasekaran, Jianwei Qin, Moon Kim

Proceedings Volume 11421, 1142107 (2020) https://doi.org/10.1117/12.2558859

KEYWORDS: Raman spectroscopy, Image segmentation, Line scan image sensors, Imaging systems, Agriculture, Data modeling, Hyperspectral imaging

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Proceedings Article | 22 April 2020 Paper

Continuous gradient temperature Raman spectroscopy of polyunsaturated fish lipids provides detailed vibrational analysis and rapid, nondestructive graphical product authentication

C. Leigh Broadhurst, Walter Schmidt, Sagar Dhakal, Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 11421, 1142106 (2020) https://doi.org/10.1117/12.2559227

KEYWORDS: Raman spectroscopy, Magnesium, Temperature metrology, Molecules, Liquids, Nondestructive evaluation, Calorimetry, Spectroscopy, Solid state physics, Absorption

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Proceedings Article | 22 April 2020 Paper

Inspecting species and freshness of fish fillets using multimode hyperspectral imaging techniques

Jianwei Qin, Fartash Vasefi, Rosalee Hellberg, Alireza Akhbardeh, Rachel Isaacs, Ayse Gamze Yilmaz, Chansong Hwang, Insuck Baek, Walter Schmidt, Moon Kim

Proceedings Volume 11421, 1142104 (2020) https://doi.org/10.1117/12.2558684

KEYWORDS: Reflectivity, Short wave infrared radiation, Raman spectroscopy, Hyperspectral imaging, Machine learning, Principal component analysis, Inspection, Feature selection

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Proceedings Article | 14 May 2019 Presentation

Multimode optical imaging for identification of fish fillet substitution and mislabeling (Conference Presentation)

Fartash Vasefi, Rachel Isaacs , Stas Sokolov, Li Kang, Rosalee Hellberg , Daniel Farkas , Jianwei Qin , Diane Chan , Moon Kim

Proceedings Volume 11016, 1101606 (2019) https://doi.org/10.1117/12.2523224

KEYWORDS: Optical imaging, Imaging spectroscopy, Imaging systems, Reflectivity, Image processing, Visible radiation, Near infrared, Short wave infrared radiation, Luminescence, Raman spectroscopy

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Proceedings Article | 14 May 2019 Presentation

Food safety and quality applications of line-scan Raman imaging and spectroscopy techniques (Conference Presentation)

Jianwei Qin, Moon Kim, Kuanglin Chao, Jeehwa Hong, Insuck Baek, Sagar Dhakal, Byoung-Kwan Cho

Proceedings Volume 11016, 1101604 (2019) https://doi.org/10.1117/12.2519083

KEYWORDS: Raman spectroscopy, Food inspection, Inspection, Safety, Laser safety, Laser systems engineering, Imaging systems, Laser scattering, Software development, Control systems

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Proceedings Article | 30 April 2019 Paper

Authentication of turmeric powder using hyperspectral Raman system

Sagar Dhakal, Kuanglin Chao, Moon Kim, Jianwei Qin

Proceedings Volume 11016, 1101602 (2019) https://doi.org/10.1117/12.2518940

KEYWORDS: Raman spectroscopy, Binary data, Contamination, Imaging systems, Hyperspectral imaging, Image analysis, Statistical analysis, Safety, Spectroscopy, Sensors

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Proceedings Article | 30 April 2019 Paper

Detection of produce residues on processing equipment surfaces using fluorescence imaging

Chansong Hwang, Changyeun Mo, Giyoung Kim, Moon Kim

Proceedings Volume 11016, 110160O (2019) https://doi.org/10.1117/12.2520764

KEYWORDS: Ultraviolet radiation, Light emitting diodes, Hyperspectral imaging, Agriculture, Safety, Multispectral imaging, Inspection equipment, Light sources, Bacteria

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Proceedings Article | 30 April 2019 Paper

Rapid detection of pathogens using direct and surface enhanced Raman spectroscopy

Jeehwa Hong, Jianwei Qin, Jo Ann Van Kessel, Seon Woo Kim, Dongho Kim, Hyunjeong Cho, Moon Kim

Proceedings Volume 11016, 110160B (2019) https://doi.org/10.1117/12.2520624

KEYWORDS: Raman spectroscopy, Nanoparticles, Bacteria, Surface enhanced Raman spectroscopy, Pathogens, Gold, Agriculture, Silver, Analytical research, Solids

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Proceedings Article | 30 April 2019 Paper

Selection of optimal bands for developing multispectral system for inspecting apples for defects

I. Baek, C. Eggleton, S. A. Gadsden, M. Kim

Proceedings Volume 11016, 110160F (2019) https://doi.org/10.1117/12.2520469

KEYWORDS: Hyperspectral imaging, Inspection, Near infrared, Imaging systems, Defect inspection, Visible radiation, Feature extraction, Feature selection, Calibration, Image visualization

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Proceedings Article | 15 May 2018 Presentation

Hyperspectral imaging for measuring symptom of chilling stress of watermelon leaves (Conference Presentation)

Eunsoo Park, Hoonsoo Lee, Moon Kim, Byoungkwan Cho

Proceedings Volume 10665, 1066505 (2018) https://doi.org/10.1117/12.2307702

KEYWORDS: Hyperspectral imaging, Optical inspection, Imaging spectroscopy, Visualization, Tolerancing

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Proceedings Article | 15 May 2018 Presentation + Paper

Non-targeted and targeted Raman imaging detection of chemical contaminants in food powders

Jianwei Qin, Moon Kim, Kuanglin Chao, Sagar Dhakal, Byoung-Kwan Cho

Proceedings Volume 10665, 106650G (2018) https://doi.org/10.1117/12.2304384

KEYWORDS: Raman spectroscopy, Target detection, Imaging spectroscopy, Potassium, Chemical analysis, Safety, Line scan image sensors, Hyperspectral imaging, Imaging systems, Hyperspectral target detection

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Proceedings Article | 15 May 2018 Presentation

MCT-based shortwave infrared hyperspectral imaging system for the detection and quantification of adulterants in powder samples (Conference Presentation)

Hoonsoo Lee, Jianwei Qin, Byoung-Kwan Cho, Moon Kim

Proceedings Volume 10665, 106650A (2018) https://doi.org/10.1117/12.2306276

KEYWORDS: Hyperspectral imaging, Short wave infrared radiation, Imaging systems, Shortwaves, Infrared imaging, Infrared radiation, Infrared detectors, Thermal modeling, Statistical modeling, Cameras

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Proceedings Article | 15 May 2018 Presentation

Real-time sorting of melon seed using hyperspectral shortwave infrared imaging (Conference Presentation)

Collins Wakholi, Hoonsoo Lee, Insuck Baek, Eunsoo Park, Moon Kim, Hyungjin Bae, Byoungkwan Cho

Proceedings Volume 10665, 106650I (2018) https://doi.org/10.1117/12.2307699

KEYWORDS: Hyperspectral imaging, Shortwaves, Infrared imaging, Nondestructive evaluation, Data analysis, Short wave infrared radiation, Classification systems, Performance modeling, Calibration

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Proceedings Article | 15 May 2018 Presentation + Paper

Continuous gradient temperature Raman spectroscopy of unsaturated fatty acids: applications for fish and meat lipids and rendered meat source identification

C. Leigh Broadhurst, Walter Schmidt, Julie Nguyen, Jianwei Qin, Kuanglin Chao, Moon Kim

Proceedings Volume 10665, 1066504 (2018) https://doi.org/10.1117/12.2307528

KEYWORDS: Raman spectroscopy, Proteins, Temperature metrology, Agriculture, Bone, Statistical analysis, Diagnostics, Safety, Spectroscopy, Bioalcohols

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Proceedings Article | 15 May 2018 Presentation + Paper

Detection of color dye contamination in spice powder using 1064 nm Raman chemical imaging system

Sagar Dhakal, Kuanglin Chao, Moon Kim, Jianwei Qin, Abigail Bae

Proceedings Volume 10665, 1066509 (2018) https://doi.org/10.1117/12.2303832

KEYWORDS: Raman spectroscopy, Imaging systems, Contamination, Hyperspectral imaging

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Proceedings Article | 15 May 2018 Presentation

Quality measurement of bell peppers using hyperspectral near infrared imaging (Conference Presentation)

Anisur Rahman, Hyungjin Bae, Hoonsoo Lee, Insuck Baek, Moon Kim, Changyeun Mo, Byoungkwan Cho

Proceedings Volume 10665, 1066506 (2018) https://doi.org/10.1117/12.2307709

KEYWORDS: Hyperspectral imaging, Quality measurement, Near infrared, Solids, Calibration, Solid modeling

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Proceedings Article | 15 May 2018 Presentation

Infrared fingerprint profiles of compatible and incompatible interactions of the rice blast pathogen using FTIR spectroscopy (Conference Presentation)

Mirae Oh, Jinyoung Barnaby, Hoonsoo Lee, Yulin Jia, Moon Kim

Proceedings Volume 10665, 106650B (2018) https://doi.org/10.1117/12.2307189

KEYWORDS: Infrared spectroscopy, FT-IR spectroscopy, Spectroscopy, Infrared radiation, Pathogens, Resistance, Infrared detectors, Fourier spectroscopy, Tissues, Control systems

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Proceedings Article | 15 May 2018 Presentation

Development of online whole-surface apple inspection system using line-scan hyperspectral imaging technology (Conference Presentation)

In-Suck Baek, Stephen Andrew Gadsden, Moon Kim

Proceedings Volume 10665, 1066503 (2018) https://doi.org/10.1117/12.2307235

KEYWORDS: Inspection, Line scan image sensors, Hyperspectral imaging, Imaging systems, Food inspection, Machine vision, Safety

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Proceedings Article | 6 June 2017 Presentation

Determination of total volatile basic nitrogen (TVB-N) content in pork meat using hyperspectral imaging technique (Conference Presentation)

Hoonsoo Lee, Mirae Oh, Byoung-Kwan Cho, Moon Kim

Proceedings Volume 10217, 102170H (2017) https://doi.org/10.1117/12.2263862

KEYWORDS: Agriculture, Safety, Hyperspectral imaging, Nitrogen, Luminescence, Chemical analysis, Algorithm development, Quality measurement, Light emitting diodes, Imaging systems

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Proceedings Article | 6 June 2017 Presentation

Rapid detection of parasite in muscle fibers of fishes using a portable microscope imaging technique (Conference Presentation)

Jayoung Lee, Hoonsoo Lee, Moon Kim, Byoungkwan Cho

Proceedings Volume 10217, 1021705 (2017) https://doi.org/10.1117/12.2264215

KEYWORDS: Microscopes, Eye, Tissues, Optical inspection, Cameras, Image processing, Transmittance, Inspection, Agriculture, Safety

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Proceedings Article | 4 May 2017 Paper

Characterization of E coli biofim formations on baby spinach leaf surfaces using hyperspectral fluorescence imaging

Hyunjeong Cho, Insuck Baek, Mirae Oh, Sungyoun Kim, Hoonsoo Lee, Moon Kim

Proceedings Volume 10217, 102170X (2017) https://doi.org/10.1117/12.2264826

KEYWORDS: Statistical analysis, Agriculture, Bacteria, Ultraviolet radiation, Image analysis, Luminescence, Hyperspectral imaging, Pathogens, Safety, Multispectral imaging, Nondestructive evaluation, Fluorescence spectroscopy, Imaging systems

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Proceedings Article | 1 May 2017 Presentation + Paper

Raman spectroscopy method for subsurface detection of food powders through plastic layers

Sagar Dhakal, Kuanglin Chao, Jianwei Qin, Walter Schmidt, Moon Kim, Diane Chan, Abigail Bae

Proceedings Volume 10217, 1021706 (2017) https://doi.org/10.1117/12.2262102

KEYWORDS: Raman spectroscopy, Chemical analysis, Data modeling, Laser sources, Packaging, Imaging spectroscopy, Statistical analysis, Safety, Statistical modeling, Agriculture, Analytical research

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Proceedings Article | 1 May 2017 Presentation + Paper

Detecting benzoyl peroxide in wheat flour by line-scan macro-scale Raman chemical imaging

Jianwei Qin, Moon Kim, Kuanglin Chao, Maria Gonzalez, Byoung-Kwan Cho

Proceedings Volume 10217, 1021707 (2017) https://doi.org/10.1117/12.2262660

KEYWORDS: Raman spectroscopy, Imaging spectroscopy, Line scan image sensors, Inspection, Imaging systems, Hyperspectral imaging, Particles, Safety, Image acquisition, Luminescence, Detector development

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Proceedings Article | 1 May 2017 Presentation + Paper

Analysis of pork and poultry meat and bone meal mixture using hyperspectral imaging

Mirae Oh, Hoonsoo Lee, Irina Torres, Ana Garrido Varo, Dolores Pérez Marín, Moon Kim

Proceedings Volume 10217, 102170K (2017) https://doi.org/10.1117/12.2263674

KEYWORDS: Short wave infrared radiation, Infrared radiation, Infrared imaging, Absorption, Proteins, Analytical research, Agriculture, Hyperspectral imaging, Bone, Imaging spectroscopy, Nondestructive evaluation

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