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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Environmental Microbial & Food Safety Laboratory » Research » Research Project #440790

Research Project: Advancement of Sensing Technologies for Food Safety and Security Applications

Location: Environmental Microbial & Food Safety Laboratory

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Automated classification of citrus disease on fruits and leaves using convolutional neural network (CNN) generated features from hyperspectral images and machine learning classifiers Reprint Icon - (Peer Reviewed Journal)
Yadav, P., Burks, T.F., Qin, J., Kim, M.S., Frederick, Q., Dewdney, M.M., Ritenour, M.A. 2024. Automated classification of citrus disease on fruits and leaves using convolutional neural network (CNN) generated features from hyperspectral images and machine learning classifiers. Journal of Applied Remote Sensing (JARS). 18 (1): Article e014512. https://doi.org/10.1117/1.JRS.18.014512.

Detection of aflatoxins in ground maize using a compact and automated Raman spectroscopy with machine learning Reprint Icon - (Peer Reviewed Journal)
Kim, Y., Qin, J., Baek, I., Lee, K., Kim, S., Kim, S., Chan, D.E., Herrman, T.J., Kim, N., Kim, M.S. 2023. Detection of aflatoxins in ground maize using a compact and automated Raman spectroscopy with machine learning. Current Research in Food Science. 7: Article e100647. https://doi.org/10.1016/j.crfs.2023.100647.

Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects Reprint Icon - (Peer Reviewed Journal)
Frederick, Q., Burks, T.F., Watson, A., Yadav, P., Qin, J., Kim, M.S., Ritenour, M.A. 2024. Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects. Smart Agricultural Technology. 6: Article e100365. https://doi.org/10.1016/j.atech.2023.100365.

Advance in detection technique of lean meat powder residues in meat using SERS: a review Reprint Icon - (Peer Reviewed Journal)
Guo, Q., Peng, Y., Qin, J., Chao, K., Zhao, Z., Yin, T. 2023. Advance in detection technique of lean meat powder residues in meat using SERS: a review. Molecules. 28(22): Article e7504. https://doi.org/10.3390/molecules28227504.

A novel machine learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy Reprint Icon - (Peer Reviewed Journal)
Sueker, M., Daghighi, A., Akhbardesh, A., Mackinnon, N., Bearman, G., Baek, I., Hwang, C., Qin, J., Tabb, A.M., Roungchun, J.B., Hellberg, R.S., Vasefi, F., Kim, M.S., Tavakolian, K., Kashani Zadeh, H. 2023. A novel machine learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy . Sensors. 23(22): Article e9062. https://doi.org/10.3390/s23229062.

Federated learning for clients' data privacy assurance in food service industry Reprint Icon - (Peer Reviewed Journal)
Gorji, H., Saeedi, M., Zadeh, H., Husairik, K., Mojtaba, S., Qin, J., Chan, D.E., Baaek, I., Kim, M.S., Akhbardeh, A., Mackinnon, N., Vasefi, F., Tavakolian, K. 2023. Federated learning for clients' data privacy assurance in food service industry. Applied Sciences. 13(16):9330. https://doi.org/10.3390/app13169330.

Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review Reprint Icon - (Peer Reviewed Journal)
Aline, U., Bhattacharya, T., Faqeerzada, M., Kim, M.S., Baek, I., Cho, B. 2023. Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review. Frontiers in Plant Science. 14:1240361. https://doi.org/10.3389/fpls.2023.1240361.

Proteins and lipids content estimation in soybeans using Raman hyperspectral imaging Reprint Icon - (Peer Reviewed Journal)
Aulia, R., Amanah, H., Lee, H., Kim, M.S., Baek, I., Qin, J., Cho, B. 2023. Proteins and lipids content estimation in soybeans using Raman hyperspectral imaging. Frontiers in Plant Science. 14. Article e1167139. https://doi.org/10.3389/fpls.2023.1167139.

Hyperspectral imaging techniques for rapid detection of single- and co-contaminant aflatoxins and fumonisins in ground maize Reprint Icon - (Peer Reviewed Journal)
Kim, Y., Baek, I., Lee, K., Kim, G., Kim, S., Kim, S., Chan, D.E., Herrman, T., Kim, N., Kim, M.S. 2023. Hyperspectral imaging techniques for rapid detection of single- and co-contaminant aflatoxins and fumonisins in ground maize. Toxins. 15(7):472. https://doi.org/10.3390/toxins15070472.

Classification of E. coli colony with generative adversarial networks, discrete wavelet transforms and VGG19 - (Peer Reviewed Journal)
Yadav, P., Burks, T.F., Dudhe, K., Frederick, Q., Qin, J., Kim, M.S., Ritenour, M.A. 2023. Classification of E. coli colony with generative adversarial networks, discrete wavelet transforms and VGG19. Veterinary Radiology and Ultrasound. 6(3):146-160.

Deep learning-based plant organ segmentation and phenotyping of sorghum plants using LiDAR point cloud - (Peer Reviewed Journal)

A determination method for clenbuterol residue in pork based on optimal particle size gold colloid using SERS Reprint Icon - (Peer Reviewed Journal)
Guo, Q., Peng, Y., Chao, K., Qin, J., Chen, Y., Yin, T. 2023. A determination method for clenbuterol residue in pork based on optimal particle size gold colloid using SERS. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 302:1386-1425. https://doi.org/10.1016/j.saa.2023.123097.

A hyperspectral plant health monitoring system for space crop production Reprint Icon - (Peer Reviewed Journal)
Qin, J., Monje, O., Nugent, M.R., Finn, J.R., O'Rourke, A.E., Wilson, K.D., Fritsche, R.F., Baek, I., Chan, D.E., Kim, M.S. 2023. A hyperspectral plant health monitoring system for space crop production. Frontiers in Plant Science. 14:1133505. https://doi.org/10.3389/fpls.2023.1133505.

Rapid assessment of fish freshness for multiple supply-chain nodes using multi-mode spectroscopy and fusion-based artificial intelligence Reprint Icon - (Peer Reviewed Journal)
Zadeh, H., Hardy, M., Sueker, M., Li, Y., Tzouchas, A., Mackinnon, N., Bearman, G., Haughey, S., Akhbardeh, A., Baek, I., Hwang, C., Qin, J., Tabb, A.M., Hellberg, R., Ismail, S., Reza, H., Vasefi, F., Kim, M.S., Tavakolian, K., Elliott, C.T. 2023. Rapid assessment of fish freshness for multiple supply-chain nodes using multi-mode spectroscopy and fusion-based artificial intelligence. Sensors. 23:5149. https://doi.org/10.3390/s23115149.

Hyperspectral imaging techniques for detection of foreign materials from fresh-Cut vegetables Reprint Icon - (Peer Reviewed Journal)
Tunny, S., Kurniawan, H., Amanah, H., Baek, I., Kim, M.S., Chan, D.E., Farqeerzada, M., Wakholi, C., Cho, B. 2023. Hyperspectral imaging techniques for detection of foreign materials from fresh-Cut vegetables. Postharvest Biology and Technology. 201:112373. https://doi.org/10.1016/j.postharvbio.2023.112373.

A multimodal optical sensing system for automated and intelligent food safety inspection Reprint Icon - (Peer Reviewed Journal)
Qin, J., Hong, J., Cho, H., Van Kessel, J.S., Baek, I., Chao, K., Kim, M.S. 2023. A multimodal optical sensing system for automated and intelligent food safety inspection. Journal of the ASABE. 66(4):839-849. https://doi.org/10.13031/ja.15526.

Raman spectroscopy and imaging technology Reprint Icon - (Book / Chapter)
Qin, J., Chao, K., Kim, M.S. 2023. Raman spectroscopy and imaging technology. Springer Nature. 1089-1097. https://doi.org/10.1007/978-3-031-24861-0_78.

Optical parameters inversion of tissue using spatially resolved diffuse reflection imaging combined with LSTM-attention network Reprint Icon - (Peer Reviewed Journal)
Sun, D., Wang, X., Huang, M., Zhu, Q., Qin, J. 2023. Optical parameters inversion of tissue using spatially resolved diffuse reflection imaging combined with LSTM-attention network. Optics Express. 31(6):10260-10272. https://doi.org/10.1364/OE.485235.

Evaluating performance of SORS-based subsurface signal separation methods using statistical replication Monte Carlo simulation Reprint Icon - (Peer Reviewed Journal)
Liu, Z., Huang, M., Zhu, Q., Qin, J., Kim, M.S. 2023. Evaluating performance of SORS-based subsurface signal separation methods using statistical replication Monte Carlo simulation. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 293:122520. https://doi.org/10.1016/j.saa.2023.122520.

Packaged butter adulteration evaluation based on spatially offset Raman spectroscopy coupled with FastICA Reprint Icon - (Peer Reviewed Journal)
Liu, Z., Zhou, H., Huang, M., Zhu, Q., Qin, J., Kim, M.S. 2023. Packaged butter adulteration evaluation based on spatially offset Raman spectroscopy coupled with FastICA. Journal of Food Composition and Analysis. 117:105149. https://doi.org/10.1016/j.jfca.2023.105149.

Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances Reprint Icon - (Review Article)
Omia, E., Bae, H., Park, E., Kim, M.S., Baek, I., Kabenge, I., Cho, B. 2023. Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances. Remote Sensing. 15:354. https://doi.org/10.3390/rs15020354.

Fluorescence hyperspectral imaging for early diagnosis of heat-stressed ginseng plants Reprint Icon - (Peer Reviewed Journal)
Faquurzada, M.A., Park, E., Kim, T., Kim, M.S., Baek, I., Joshi, R., Kim, J., Cho, B. 2023. Fluorescence hyperspectral imaging for early diagnosis of heat-stressed ginseng plants. Applied Sciences. 13:31. https://doi.org/10.3390/app13010031.

Raman enhancement effects of gold nanoparticles with different particle sizes on clenbuterol and ractopamine Reprint Icon - (Peer Reviewed Journal)
Guo, Q., Peng, Y., Chao, K., Zhuang, Q., Chen, Y. 2022. Raman enhancement effects of gold nanoparticles with different particle sizes on clenbuterol and ractopamine. Vibrational Spectroscopy. 123:103444. https://doi.org/10.1016/j.vibspec.2022.103444.

Citrus disease detection using convolution neural network generated features and softmax classifier on hyperspectral image data Reprint Icon - (Peer Reviewed Journal)
Yadav, P., Burks, T.F., Frederick, Q., Qin, J., Kim, M.S., Ritenour, M.A. 2022. Citrus disease detection using convolution neural network generated features and softmax classifier on hyperspectral image data. Frontiers in Plant Science. 13:1043712. https://doi.org/10.3389/fpls.2022.1043712.

Raman enhancement effect of different silver nanoparticles on salbutamol Reprint Icon - (Peer Reviewed Journal)
Guo, O., Peng, Y., Chao, K. 2022. Raman enhancement effect of different silver nanoparticles on salbutamol. Heliyon. 8(6):e09576. https://doi.org/10.1016/j.heliyon.2022.e09576.

Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in food services Reprint Icon - (Peer Reviewed Journal)
Gorji, H., Van Kessel, J.S., Haley, B.J., Husarik, K., Sonnier, J.L., Shahabi, S., Zadeh, H., Chan, D.E., Qin, J., Baek, I., Kim, M.S., Akhbardeh, A., Sohrabi, M., Kerge, B., Mckinnon, N., Vasefi, F., Tavakolian, K. 2022. Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in food services. Frontiers in Remote Sensing. https://doi.org/10.3389/fsens.2022.977770.

Unique and redundant spectral fingerprints of docosahexaenoic, alpha-linolenic and gamma-linolenic acids in binary mixtures Reprint Icon - (Peer Reviewed Journal)
Schmidt, W.F., Chen, F., Broadhurst, C.L., Qin, J., Crawford, M.A., Kim, M.S. 2022. Unique and redundant spectral fingerprints of docosahexaenoic, alpha-linolenic and gamma-linolenic acids in binary mixtures. Journal of Molecular Liquids. 358:119222. https://doi.org/10.1016/j.molliq.2022.119222.

Detection of fabricated eggs using Fourier Transform Infrared (FT- IR) spectroscopy coupled with multivariate classification techniques Reprint Icon - (Peer Reviewed Journal)
Joshi, R., Baek, I., Joshi, R., Kim, M.S., Cho, B. 2022. Detection of fabricated eggs using Fourier Transform Infrared (FT- IR) spectroscopy coupled with multivariate classification techniques. Food Analytical Methods. https://doi.org/10.1016/j.infrared.2022.104163.

Comparative determination of phenolic compounds in Ara-bidopsis Thaliana leaf powder under distinct stress conditions using Fourier-Transform Infrared (FT-IR) and Near-Infrared (FT-NIR) Spectroscopy Reprint Icon - (Peer Reviewed Journal)
Joshi, R., Sathasivam, R., Kumar, P., Patel, A.K., Nguyen, B.V., Faqeerzaada, M.A., Park, S., Lee, S., Kim, M.S., Baek, I., Cho, B. 2022. Comparative determination of phenolic compounds in Ara-bidopsis Thaliana leaf powder under distinct stress conditions using Fourier-Transform Infrared (FT-IR) and Near-Infrared (FT-NIR) Spectroscopy. Plants. 11(7):836. https://doi.org/10.3390/plants11070836.

A rapid and precise spectroscopic method for detecting fipronil insecticide on solid surfaces Reprint Icon - (Peer Reviewed Journal)
Chao, K., Schmidt, W.F., Qin, J., Kim, M.S. 2022. A rapid and precise spectroscopic method for detecting fipronil insecticide on solid surfaces. Journal of Food Measurement and Characterization. https://doi.org/10.1007/s11694-022-01384-4.

A packaged food internal Raman signal separation method based on spatially offset Raman spectroscopy combined with FastICA Reprint Icon - (Peer Reviewed Journal)
Liu, Z., Huang, M., Zhu, Q., Qin, J., Kim, M.S. 2022. A packaged food internal Raman signal separation method based on spatially offset Raman spectroscopy combined with FastICA. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 275:121154. https://doi.org/10.1016/j.saa.2022.121154.

Multispectral wavebands selection for the detection of potential foreign materials in fresh-cut vegetables Reprint Icon - (Peer Reviewed Journal)
Tunny, S., Amanah, H., Faqeerzada, M., Wakholi, C., Baek, I., Kim, M.S., Cho, B. 2022. Multispectral wavebands selection for the detection of potential foreign materials in fresh-cut vegetables. Sensors. 22:1775. https://doi.org/10.3390/s22051775.

Estimation of cold stress, plant age, and number of leaves in watermelon plants using image analysis Reprint Icon - (Peer Reviewed Journal)
Nabwire, S., Wakholi, C., Faquurzada, M., Arief, M., Kim, M.S., Baek, I., Cho, B. 2022. Estimation of cold stress, plant age, and number of leaves in watermelon plants using image analysis. Frontiers in Plant Science. 13:847225. https://doi.org/10.3389/fpls.2022.847225.

Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses Reprint Icon - (Peer Reviewed Journal)
Gorji, H.T., Shahabi, S.M., Sharma, A., Tamde, L.Q., Husarik, K., Qin, J., Chan, D.E., Baek, I., Kim, M.S., Mackinnon, N., Morro, J., Sokolov, S., Akhbardeh, A., Vasefi, F., Tavakolian, K. 2022. Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses. Nature Scientific Reports. 12:2392. https://doi.org/10.1038/s41598-022-06379-1.

Nondestructive prediction of isoflavones and oligosaccharides in intact soybean seed using Fourier transform near-infrared (FT-NIR) and Fourier transform infrared (FT-IR) spectroscopic techniques Reprint Icon - (Peer Reviewed Journal)
Amanah, H., Tunny, S.S., Masithoh, R., Choung, M., Kim, K., Kim, M.S., Baek, I., Lee, W., Cho, B. 2022. Nondestructive prediction of isoflavones and oligosaccharides in intact soybean seed using Fourier transform near-infrared (FT-NIR) and Fourier transform infrared (FT-IR) spectroscopic techniques. Foods. https://doi.org/10.3390/foods11020232.

Application of Fourier transform infrared spectroscopy and multivariate analysis methods for the non-destructive evaluation of phenolics compounds in moringa powder Reprint Icon - (Peer Reviewed Journal)
Joshi, R., Sathasivam, R., Park, S., Lee, H., Kim, M.S., Baek, I., Cho, B. 2021. Application of Fourier transform infrared spectroscopy and multivariate analysis methods for the non-destructive evaluation of phenolics compounds in moringa powder. Agriculture. https://doi.org/10.3390/agriculture12010010.

Economic analysis of an image-based beef carcass yield estimation system in Korea Reprint Icon - (Peer Reviewed Journal)
Wakholi, C., Nabwire, S., Kim, J., Bae, J.H., Baek, I., Kim, M.S., Cho, B. 2021. Economic analysis of an image-based beef carcass yield estimation system in Korea. Animals. 12:7. https://doi.org/10.3390/ani12010007.

Handheld multispectral fluorescence imaging system to detect and disinfect surface contamination Reprint Icon - (Peer Reviewed Journal)
Sueker, M., Stromsodt, K., Gorji, H.T., Vesafi, F., Khan, N., Schmidt, T., Varma, R., Mackinnon, N., Sokolov, S., Akhbardeh, A., Qin, J., Chan, D.E., Baek, I., Kim, M.S., Tavakolian, K. 2021. Handheld multispectral fluorescence imaging system to detect and disinfect surface contamination. Sensors. https://doi.org/10.3390/s21217222.