Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review

Dhal, Sambandh Bhusan; Kar, Debashish

doi:10.1007/s42452-025-06472-w

Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review

Journal Article · Sat Jan 11 00:00:00 EST 2025 · Discover Applied Sciences

DOI:https://doi.org/10.1007/s42452-025-06472-w· OSTI ID:2997596

^[1]; Kar, Debashish ^[2]

Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Texas A & M Univ., College Station, TX (United States). Texas A & M AgriLife Research

Artificial intelligence is emerging as a transformative force in addressing the multifaceted challenges of food safety, food quality, and food security. This review synthesizes advancements in AI-driven technologies, such as machine learning, deep learning, natural language processing, and computer vision, and their applications across the food supply chain, based on a comprehensive analysis of literature published from 1990 to 2024. AI enhances food safety through real-time contamination detection, predictive risk modeling, and compliance monitoring, reducing public health risks. It improves food quality by automating defect detection, optimizing shelf-life predictions, and ensuring consistency in taste, texture, and appearance. Furthermore, AI addresses food security by enabling resource-efficient agriculture, yield forecasting, and supply chain optimization to ensure the availability and accessibility of nutritious food resources. This review also highlights the integration of AI with advanced food processing techniques such as high-pressure processing, ultraviolet treatment, pulsed electric fields, cold plasma, and irradiation, which ensure microbial safety, extend shelf life, and enhance product quality. Additionally, the integration of AI with emerging technologies such as the Internet of Things, blockchain, and AI-powered sensors enables proactive risk management, predictive analytics, and automated quality control. By examining these innovations' potential to enhance transparency, efficiency, and decision-making within food systems, this review identifies current research gaps and proposes strategies to address barriers such as data limitations, model generalizability, and ethical concerns. These insights underscore the critical role of AI in advancing safer, higher-quality, and more secure food systems, guiding future research and fostering sustainable food systems that benefit public health and consumer trust.

View Accepted Manuscript (DOE)

Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE); USDOE Office of Science (SC)

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 2997596

Report Number(s):: INL/JOU--25-82751

Journal Information:: Discover Applied Sciences, Journal Name: Discover Applied Sciences Journal Issue: 1 Vol. 7; ISSN 3004-9261

Publisher:: Springer Science and Business Media LLCCopyright Statement

Country of Publication:: United States

Language:: English

References (172)

Internet of Things‐Enabled Food and Plant Sensors to Empower Sustainability Ataei Kachouei, Matin; Kaushik, Ajeet; Ali, Md. Azahar Advanced Intelligent Systems, Vol. 5, Issue 12 https://doi.org/10.1002/aisy.202300321	journal	October 2023
Internet of Things Xia, Feng; Yang, Laurence T.; Wang, Lizhe International Journal of Communication Systems, Vol. 25, Issue 9 https://doi.org/10.1002/dac.2417	journal	August 2012
Blockchain‐based efficient communication for food supply chain industry: Transparency and traceability analysis for sustainable business Tayal, Akash; Solanki, Arun; Kondal, Richa International Journal of Communication Systems, Vol. 34, Issue 4 https://doi.org/10.1002/dac.4696	journal	December 2020
Innovative processes in smart packaging. A systematic review Fernandez, Carlos M.; Alves, Joel; Gaspar, Pedro Dinis Journal of the Science of Food and Agriculture, Vol. 103, Issue 3 https://doi.org/10.1002/jsfa.11863	journal	March 2022
A review on blockchain applications in the agri‐food sector Antonucci, Francesca; Figorilli, Simone; Costa, Corrado Journal of the Science of Food and Agriculture, Vol. 99, Issue 14 https://doi.org/10.1002/jsfa.9912	journal	August 2019
Raman spectra‐based deep learning: A tool to identify microbial contamination Maruthamuthu, Murali K.; Raffiee, Amir Hossein; De Oliveira, Denilson Mendes MicrobiologyOpen, Vol. 9, Issue 11 https://doi.org/10.1002/mbo3.1122	journal	October 2020
Automated detection of infectious disease outbreaks: hierarchical time series models Heisterkamp, Simon H.; Dekkers, Arnold L. M.; Heijne, Janneke C. M. Statistics in Medicine, Vol. 25, Issue 24 https://doi.org/10.1002/sim.2674	journal	September 2006
Computer Vision Szeliski, Richard Texts in Computer Science https://doi.org/10.1007/978-3-030-34372-9	book	January 2022
Integrating natural language processing with image document analysis: what we learned from two real-world applications Chen, Jinying; Cao, Huaigu; Natarajan, Premkumar International Journal on Document Analysis and Recognition (IJDAR), Vol. 18, Issue 3 https://doi.org/10.1007/s10032-015-0247-x	journal	May 2015
Twitter sentiment analysis on online food services based on elephant herd optimization with hybrid deep learning technique Vatambeti, Ramesh; Mantena, Srihari Varma; Kiran, K. V. D. Cluster Computing, Vol. 27, Issue 1 https://doi.org/10.1007/s10586-023-03970-7	journal	February 2023
The internet of things: a survey Li, Shancang; Xu, Li Da; Zhao, Shanshan Information Systems Frontiers, Vol. 17, Issue 2 https://doi.org/10.1007/s10796-014-9492-7	journal	April 2014
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety Makridis, Georgios; Mavrepis, Philip; Kyriazis, Dimosthenis Machine Learning, Vol. 112, Issue 4 https://doi.org/10.1007/s10994-022-06151-6	journal	March 2022
Computer Vision and Machine Learning based approaches for Food Security: A Review Sood, Shivani; Singh, Harjeet Multimedia Tools and Applications, Vol. 80, Issue 18 https://doi.org/10.1007/s11042-021-11036-2	journal	May 2021
Applications of Thermal Imaging in Agriculture and Food Industry—A Review Vadivambal, R.; Jayas, Digvir S. Food and Bioprocess Technology, Vol. 4, Issue 2 https://doi.org/10.1007/s11947-010-0333-5	journal	February 2010
Food Safety Borchers, Andrea; Teuber, Suzanne S.; Keen, Carl L. Clinical Reviews in Allergy & Immunology, Vol. 39, Issue 2 https://doi.org/10.1007/s12016-009-8176-4	journal	November 2009
Applications of Artificial Intelligence and Machine Learning in Food Quality Control and Safety Assessment Chhetri, Krishna Bahadur Food Engineering Reviews, Vol. 16, Issue 1 https://doi.org/10.1007/s12393-023-09363-1	journal	December 2023
Machine vision system: a tool for quality inspection of food and agricultural products Patel, Krishna Kumar; Kar, A.; Jha, S. N. Journal of Food Science and Technology, Vol. 49, Issue 2 https://doi.org/10.1007/s13197-011-0321-4	journal	April 2011
Application of blockchain technology in shaping the future of food industry based on transparency and consumer trust Singh, Vinay; Sharma, Sanjeev Kumar Journal of Food Science and Technology, Vol. 60, Issue 4 https://doi.org/10.1007/s13197-022-05360-0	journal	January 2022
Enhancement in the active food packaging system through metal-based nanomaterials: a review of innovations, challenges, and future directions Nirmal, Nilesh; Vashisht, Pranav; Sharma, Sonali Discover Food, Vol. 4, Issue 1 https://doi.org/10.1007/s44187-024-00189-2	journal	October 2024
Principal components analysis (PCA) Maćkiewicz, Andrzej; Ratajczak, Waldemar Computers & Geosciences, Vol. 19, Issue 3 https://doi.org/10.1016/0098-3004(93)90090-R	journal	March 1993
Computer vision technology for food quality assurance Gunasekaran, Sundaram Trends in Food Science & Technology, Vol. 7, Issue 8 https://doi.org/10.1016/0924-2244(96)10028-5	journal	August 1996
The role of sensory evaluation in the food industry Sidel, Joel L.; Stone, Herbert Food Quality and Preference, Vol. 4, Issue 1-2 https://doi.org/10.1016/0950-3293(93)90314-V	journal	January 1993
Shelf-life prediction: theory and application Fu, Bin; Labuza, Theodore P. Food Control, Vol. 4, Issue 3 https://doi.org/10.1016/0956-7135(93)90298-3	journal	January 1993
High-Pressure Processing of Foods Tao, Yang; Sun, Da-Wen; Hogan, Eamonn Emerging Technologies for Food Processing https://doi.org/10.1016/B978-0-12-411479-1.00001-2	book	August 2014
Improving quality inspection of food products by computer vision––a review Brosnan, Tadhg; Sun, Da-Wen Journal of Food Engineering, Vol. 61, Issue 1 https://doi.org/10.1016/S0260-8774(03)00183-3	journal	January 2004
The applications of computer vision system and tomographic radar imaging for assessing physical properties of food Abdullah, M. Z.; Guan, L. C.; Lim, K. C. Journal of Food Engineering, Vol. 61, Issue 1 https://doi.org/10.1016/S0260-8774(03)00194-8	journal	January 2004
Food safety and total quality management Barendsz, A. W. Food Control, Vol. 9, Issue 2-3 https://doi.org/10.1016/S0956-7135(97)00074-1	journal	April 1998
Data fusion methodologies for food and beverage authentication and quality assessment – A review Borràs, Eva; Ferré, Joan; Boqué, Ricard Analytica Chimica Acta, Vol. 891 https://doi.org/10.1016/j.aca.2015.04.042	journal	September 2015
Recent advances and applications of artificial intelligence and related technologies in the food industry Addanki, Mounika; Patra, Priyanka; Kandra, Prameela Applied Food Research, Vol. 2, Issue 2 https://doi.org/10.1016/j.afres.2022.100126	journal	December 2022
Implementation of blockchain technology in integrated IoT networks for constructing scalable ITS systems in India Kharche, Arya; Badholia, Sanskar; Upadhyay, Ram Krishna Blockchain: Research and Applications, Vol. 5, Issue 2 https://doi.org/10.1016/j.bcra.2024.100188	journal	June 2024
Intelligent approaches for sustainable management and valorisation of food waste Said, Zafar; Sharma, Prabhakar; Thi Bich Nhuong, Quach Bioresource Technology, Vol. 377 https://doi.org/10.1016/j.biortech.2023.128952	journal	June 2023
Novel approaches for food safety management and communication Nychas, George-John E.; Panagou, Efstathios Z.; Mohareb, Fady Current Opinion in Food Science, Vol. 12 https://doi.org/10.1016/j.cofs.2016.06.005	journal	December 2016
Challenges and perspectives of advanced technologies in processing, distribution and storage for improving food safety Valdramidis, Vasilis P.; Koutsoumanis, Konstantinos P. Current Opinion in Food Science, Vol. 12 https://doi.org/10.1016/j.cofs.2016.08.008	journal	December 2016
Big Data in food safety- A review Jin, Cangyu; Bouzembrak, Yamine; Zhou, Jiehong Current Opinion in Food Science, Vol. 36 https://doi.org/10.1016/j.cofs.2020.11.006	journal	December 2020
Substantial capabilities of robotics in enhancing industry 4.0 implementation Javaid, Mohd; Haleem, Abid; Singh, Ravi Pratap Cognitive Robotics, Vol. 1 https://doi.org/10.1016/j.cogr.2021.06.001	journal	January 2021
An overview of anomaly detection techniques: Existing solutions and latest technological trends Patcha, Animesh; Park, Jung-Min Computer Networks, Vol. 51, Issue 12 https://doi.org/10.1016/j.comnet.2007.02.001	journal	August 2007
Computer vision detection of foreign objects in walnuts using deep learning Rong, Dian; Xie, Lijuan; Ying, Yibin Computers and Electronics in Agriculture, Vol. 162 https://doi.org/10.1016/j.compag.2019.05.019	journal	July 2019
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder Jahanbakhshi, Ahmad; Abbaspour-Gilandeh, Yousef; Heidarbeigi, Kobra Computers in Biology and Medicine, Vol. 136 https://doi.org/10.1016/j.compbiomed.2021.104728	journal	September 2021
Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review Saha, Dhritiman; Manickavasagan, Annamalai Current Research in Food Science, Vol. 4 https://doi.org/10.1016/j.crfs.2021.01.002	journal	January 2021
Assessment of vector-host-pathogen relationships using data mining and machine learning Agany, Diing D. M.; Pietri, Jose E.; Gnimpieba, Etienne Z. Computational and Structural Biotechnology Journal, Vol. 18 https://doi.org/10.1016/j.csbj.2020.06.031	journal	January 2020
CNN-based features for retrieval and classification of food images Ciocca, Gianluigi; Napoletano, Paolo; Schettini, Raimondo Computer Vision and Image Understanding, Vol. 176-177 https://doi.org/10.1016/j.cviu.2018.09.001	journal	November 2018
Topic modeling method for analyzing social actor discourses on climate change, energy and food security Benites-Lazaro, L. L.; Giatti, L.; Giarolla, A. Energy Research & Social Science, Vol. 45 https://doi.org/10.1016/j.erss.2018.07.031	journal	November 2018
Random forest as one-class classifier and infrared spectroscopy for food adulteration detection de Santana, Felipe Bachion; Borges Neto, Waldomiro; Poppi, Ronei J. Food Chemistry, Vol. 293 https://doi.org/10.1016/j.foodchem.2019.04.073	journal	September 2019
Hyperspectral image classification using CNN: Application to industrial food packaging Medus, Leandro D.; Saban, Mohamed; Francés-Víllora, Jose V. Food Control, Vol. 125 https://doi.org/10.1016/j.foodcont.2021.107962	journal	July 2021
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN Momeny, Mohammad; Neshat, Ali Asghar; Jahanbakhshi, Ahmad Food Control, Vol. 147 https://doi.org/10.1016/j.foodcont.2022.109554	journal	May 2023
Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review Zhang, Baohua; Huang, Wenqian; Li, Jiangbo Food Research International, Vol. 62 https://doi.org/10.1016/j.foodres.2014.03.012	journal	August 2014
A reinforcement learning-based framework for disruption risk identification in supply chains Aboutorab, Hamed; Hussain, Omar K.; Saberi, Morteza Future Generation Computer Systems, Vol. 126 https://doi.org/10.1016/j.future.2021.08.004	journal	January 2022
A non-intrusive and reactive architecture to support real-time ETL processes in data warehousing environments de Assis Vilela, Flávio; Times, Valéria Cesário; de Campos Bernardi, Alberto Carlos Heliyon, Vol. 9, Issue 5 https://doi.org/10.1016/j.heliyon.2023.e15728	journal	May 2023
Kinetics of heat-induced changes in dairy products: Developments in data analysis and modelling techniques van Boekel, M. A. J. S. International Dairy Journal, Vol. 126 https://doi.org/10.1016/j.idairyj.2021.105187	journal	March 2022
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part I: Fundamentals Wu, Di; Sun, Da-Wen Innovative Food Science & Emerging Technologies, Vol. 19 https://doi.org/10.1016/j.ifset.2013.04.014	journal	July 2013
Future challenges to microbial food safety Havelaar, Arie H.; Brul, Stanley; de Jong, Aarieke International Journal of Food Microbiology, Vol. 139 https://doi.org/10.1016/j.ijfoodmicro.2009.10.015	journal	May 2010
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation Díaz-Rodríguez, Natalia; Del Ser, Javier; Coeckelbergh, Mark Information Fusion, Vol. 99 https://doi.org/10.1016/j.inffus.2023.101896	journal	November 2023
Learning techniques used in computer vision for food quality evaluation: a review Du, Cheng-Jin; Sun, Da-Wen Journal of Food Engineering, Vol. 72, Issue 1 https://doi.org/10.1016/j.jfoodeng.2004.11.017	journal	January 2006
Accurate prediction of salmon freshness under temperature fluctuations using the convolutional neural network long short-term memory model Wu, Ting; Lu, JiaJia; Zou, Juan Journal of Food Engineering, Vol. 334 https://doi.org/10.1016/j.jfoodeng.2022.111171	journal	December 2022
Machine vision intelligence for product defect inspection based on deep learning and Hough transform Wang, Jinjiang; Fu, Peilun; Gao, Robert X. Journal of Manufacturing Systems, Vol. 51 https://doi.org/10.1016/j.jmsy.2019.03.002	journal	April 2019
On testing machine learning programs Braiek, Houssem Ben; Khomh, Foutse Journal of Systems and Software, Vol. 164 https://doi.org/10.1016/j.jss.2020.110542	journal	June 2020
Structured Reporting of IR Procedures: Effect on Report Compliance, Accuracy, and Satisfaction Nguyen, Quang; Sarwar, Ammar; Luo, Michael Journal of Vascular and Interventional Radiology, Vol. 29, Issue 3 https://doi.org/10.1016/j.jvir.2017.10.016	journal	March 2018
Nanomaterials as optical sensors for application in rapid detection of food contaminants, quality and authenticity Chen, Hengye; Zhang, Lei; Hu, Ying Sensors and Actuators B: Chemical, Vol. 329 https://doi.org/10.1016/j.snb.2020.129135	journal	February 2021
History and future of food irradiation Farkas, József; Mohácsi-Farkas, Csilla Trends in Food Science & Technology, Vol. 22, Issue 2-3 https://doi.org/10.1016/j.tifs.2010.04.002	journal	March 2011
The components of a food traceability system Olsen, Petter; Borit, Melania Trends in Food Science & Technology, Vol. 77 https://doi.org/10.1016/j.tifs.2018.05.004	journal	July 2018
An introduction to current food safety needs Flynn, Katherine; Villarreal, Begoña Pérez; Barranco, Alejandro Trends in Food Science & Technology, Vol. 84 https://doi.org/10.1016/j.tifs.2018.09.012	journal	February 2019
Internet of Things in food safety: Literature review and a bibliometric analysis Bouzembrak, Yamine; Klüche, Marcel; Gavai, Anand Trends in Food Science & Technology, Vol. 94 https://doi.org/10.1016/j.tifs.2019.11.002	journal	December 2019
Ultraviolet radiation: An interesting technology to preserve quality and safety of milk and dairy foods Delorme, Mariana M.; Guimarães, Jonas T.; Coutinho, Nathália M. Trends in Food Science & Technology, Vol. 102 https://doi.org/10.1016/j.tifs.2020.06.001	journal	August 2020
Vegetable waste and by-products to feed a healthy gut microbiota: Current evidence, machine learning and computational tools to design novel microbiome-targeted foods Sabater, Carlos; Calvete-Torre, Inés; Villamiel, Mar Trends in Food Science & Technology, Vol. 118 https://doi.org/10.1016/j.tifs.2021.10.002	journal	December 2021
Artificial Intelligence technology in food safety: A behavioral approach Kudashkina, Katya; Corradini, Maria G.; Thirunathan, Praveena Trends in Food Science & Technology, Vol. 123 https://doi.org/10.1016/j.tifs.2022.03.021	journal	May 2022
Artificial intelligence and ethics within the food sector: Developing a common language for technology adoption across the supply chain Manning, Louise; Brewer, Steve; Craigon, Peter J. Trends in Food Science & Technology, Vol. 125 https://doi.org/10.1016/j.tifs.2022.04.025	journal	July 2022
Future challenges on the use of blockchain for food traceability analysis Galvez, Juan F.; Mejuto, J. C.; Simal-Gandara, J. TrAC Trends in Analytical Chemistry, Vol. 107 https://doi.org/10.1016/j.trac.2018.08.011	journal	October 2018
Efficient data integration in the railway domain through an ontology-based methodology Verstichel, Stijn; Ongenae, Femke; Loeve, Leanneke Transportation Research Part C: Emerging Technologies, Vol. 19, Issue 4 https://doi.org/10.1016/j.trc.2010.10.003	journal	August 2011
Social media data analytics to improve supply chain management in food industries Singh, Akshit; Shukla, Nagesh; Mishra, Nishikant Transportation Research Part E: Logistics and Transportation Review, Vol. 114 https://doi.org/10.1016/j.tre.2017.05.008	journal	June 2018
Demographic and Socioeconomic Influences on the Importance of Food Safety in Food Shopping Lin, Chung-Tung Jordan Agricultural and Resource Economics Review, Vol. 24, Issue 2 https://doi.org/10.1017/S1068280500008832	journal	October 1995
Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic Martin, Nina M.; Poirier, Lisa; Rosenblum, Andrew J. Disaster Medicine and Public Health Preparedness https://doi.org/10.1017/dmp.2022.207	journal	August 2022
Deep learning LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey Nature, Vol. 521, Issue 7553 https://doi.org/10.1038/nature14539	journal	May 2015
Evaluation of methods for the detection of hazardous substances in food based on machine learning Zhu, Long-yu; Yan, Lijuan; Zhao, Fang New Journal of Chemistry, Vol. 48, Issue 3 https://doi.org/10.1039/D3NJ04074G	journal	January 2024
Semantic NLP-Based Information Extraction from Construction Regulatory Documents for Automated Compliance Checking Zhang, Jiansong; El-Gohary, Nora M. Journal of Computing in Civil Engineering, Vol. 30, Issue 2 https://doi.org/10.1061/(ASCE)CP.1943-5487.0000346	journal	March 2016
A reliable decision support system for fresh food supply chain management Dellino, Gabriella; Laudadio, Teresa; Mari, Renato International Journal of Production Research, Vol. 56, Issue 4 https://doi.org/10.1080/00207543.2017.1367106	journal	August 2017
Challenges and opportunities of non-conventional technologies concerning food safety Ashrafudoulla, Md.; Ulrich, Mevo S. I.; Toushik, Sazzad Hossen World's Poultry Science Journal, Vol. 79, Issue 1 https://doi.org/10.1080/00439339.2023.2163044	journal	January 2023
One-Class Support Vector Machines Approach to Anomaly Detection Hejazi, Maryamsadat; Singh, Yashwant Prasad Applied Artificial Intelligence, Vol. 27, Issue 5 https://doi.org/10.1080/08839514.2013.785791	journal	May 2013
Intelligent Food Safety: A Prediction Model Based on Attention Mechanism and Reinforcement Learning Wu, Mingxia; Liu, Wei; Zheng, Shengyang Applied Artificial Intelligence, Vol. 38, Issue 1 https://doi.org/10.1080/08839514.2024.2379731	journal	July 2024
Big data in food safety: An overview Marvin, Hans J. P.; Janssen, Esmée M.; Bouzembrak, Yamine Critical Reviews in Food Science and Nutrition, Vol. 57, Issue 11 https://doi.org/10.1080/10408398.2016.1257481	journal	November 2016
Smart traceability for food safety Yu, Zhilong; Jung, Dongyun; Park, Soyoun Critical Reviews in Food Science and Nutrition, Vol. 62, Issue 4 https://doi.org/10.1080/10408398.2020.1830262	journal	October 2020
The analysis and re-optimization of food systems by using intelligent optimization algorithms and machine learning Wang, Xu All Life, Vol. 15, Issue 1 https://doi.org/10.1080/26895293.2022.2079732	journal	June 2022
Safety Challenges Associated with Traditional Foods of West Africa Oguntoyinbo, Folarin Anthony Food Reviews International, Vol. 30, Issue 4 https://doi.org/10.1080/87559129.2014.940086	journal	August 2014
Pulsed light processing of foods for microbial safety Bhavya, M. L.; Umesh Hebbar, H. Food Quality and Safety, Vol. 1, Issue 3 https://doi.org/10.1093/fqsafe/fyx017	journal	August 2017
ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational time Cai, Yunpeng; Sun, Yijun Nucleic Acids Research, Vol. 39, Issue 14 https://doi.org/10.1093/nar/gkr349	journal	May 2011
Outbreak analytics: a developing data science for informing the response to emerging pathogens Polonsky, Jonathan A.; Baidjoe, Amrish; Kamvar, Zhian N. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 374, Issue 1776 https://doi.org/10.1098/rstb.2018.0276	journal	May 2019
Scaling and assessment of data quality Evans, Philip Acta Crystallographica Section D Biological Crystallography, Vol. 62, Issue 1, p. 72-82 https://doi.org/10.1107/S0907444905036693	journal	December 2005
Do businesses get the food poisoning they deserve? Griffith, Christopher James British Food Journal, Vol. 112, Issue 4 https://doi.org/10.1108/00070701011034420	journal	April 2010
Enhancing decisions and decision‐making processes through the application of emotional intelligence skills Hess, James D.; Bacigalupo, Arnold C. Management Decision, Vol. 49, Issue 5 https://doi.org/10.1108/00251741111130805	journal	May 2011
Managing consumer complaints: differences and similarities among heterogeneous retailers Hansen, Torben; Wilke, Ricky; Zaichkowsky, Judith International Journal of Retail & Distribution Management, Vol. 38, Issue 1 https://doi.org/10.1108/09590551011016304	journal	February 2010
Potentials of blockchain technologies for supply chain collaboration: a conceptual framework Rejeb, Abderahman; Keogh, John G.; Simske, Steven J. The International Journal of Logistics Management, Vol. 32, Issue 3 https://doi.org/10.1108/IJLM-02-2020-0098	journal	February 2021
IoT-based tracking and tracing platform for prepackaged food supply chain Li, Zhi; Liu, Guo; Liu, Layne Industrial Management & Data Systems, Vol. 117, Issue 9 https://doi.org/10.1108/IMDS-11-2016-0489	journal	October 2017
Food quality and safety monitoring using gas sensor array in intelligent packaging Matindoust, Samaneh; Baghaei-Nejad, Majid; Shahrokh Abadi, Mohammad Hadi Sensor Review, Vol. 36, Issue 2 https://doi.org/10.1108/SR-07-2015-0115	journal	March 2016
Genetic K-means algorithm Krishna, K.; Narasimha Murty, M. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), Vol. 29, Issue 3 https://doi.org/10.1109/3477.764879	journal	June 1999
Effective Management for Blockchain-Based Agri-Food Supply Chains Using Deep Reinforcement Learning Chen, Huilin; Chen, Zheyi; Lin, Feiting IEEE Access, Vol. 9 https://doi.org/10.1109/ACCESS.2021.3062410	journal	January 2021
Sentiment analysis of Amazon product reviews based on NLP Xiao, Yuanhang; Qi, Chengbin; Leng, Hongyong 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) https://doi.org/10.1109/AEMCSE51986.2021.00249	conference	March 2021
Sentiment analysis on product reviews Chauhan, Chhaya; Sehgal, Smriti 2017 International Conference on Computing, Communication and Automation (ICCCA) https://doi.org/10.1109/CCAA.2017.8229825	conference	May 2017
A review on use of big data in warehousing to enhance accessibility of food Sharma, Rohit; Parhi, Shreyanshu 2017 2nd International Conference on Communication and Electronics Systems (ICCES) https://doi.org/10.1109/CESYS.2017.8321162	conference	October 2017
Sentiment Analysis on Food Review using Machine Learning Approach Islam, Nourin; Akter, Nasrin; Sattar, Abdus 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) https://doi.org/10.1109/ICAIS50930.2021.9395874	conference	March 2021
Query and Resource Optimization: Bridging the Gap Viswanathan, Lalitha; Jindal, Alekh; Karanasos, Konstantinos 2018 IEEE 34th International Conference on Data Engineering (ICDE) https://doi.org/10.1109/ICDE.2018.00156	conference	April 2018
Combination of Isolation Forest and LSTM Autoencoder for Anomaly Detection Priyanto, Celvin Yota; Purnomo, Hindriyanto Dwi 2021 2nd International Conference on Innovative and Creative Information Technology (ICITech) https://doi.org/10.1109/ICITech50181.2021.9590143	conference	September 2021
Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne Illnesses Wang, Jingjing; Song, Fei; Walia, Kavita 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) https://doi.org/10.1109/ICMLA.2019.00228	conference	December 2019
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry Misra, N. N.; Dixit, Yash; Al-Mallahi, Ahmad IEEE Internet of Things Journal, Vol. 9, Issue 9 https://doi.org/10.1109/JIOT.2020.2998584	journal	May 2022
Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using K-Means, Isolation Forest, and Local Outlier Factor Petkovski, Aleksandar; Shehu, Visar 2023 12th Mediterranean Conference on Embedded Computing (MECO) https://doi.org/10.1109/MECO58584.2023.10154991	conference	June 2023
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Li, Zewen; Liu, Fan; Yang, Wenjie IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, Issue 12 https://doi.org/10.1109/TNNLS.2021.3084827	journal	December 2022
Recent Advances in Data Mining Techniques and Their Applications in Hyperspectral Image Processing for the Food Industry Dai, Qiong; Sun, Da‐Wen; Xiong, Zhenjie Comprehensive Reviews in Food Science and Food Safety, Vol. 13, Issue 5 https://doi.org/10.1111/1541-4337.12088	journal	August 2014
Application of Deep Learning in Food: A Review Zhou, Lei; Zhang, Chu; Liu, Fei Comprehensive Reviews in Food Science and Food Safety, Vol. 18, Issue 6 https://doi.org/10.1111/1541-4337.12492	journal	September 2019
Application of machine learning to the monitoring and prediction of food safety: A review Wang, Xinxin; Bouzembrak, Yamine; Lansink, AGJM Oude Comprehensive Reviews in Food Science and Food Safety, Vol. 21, Issue 1 https://doi.org/10.1111/1541-4337.12868	journal	December 2021
Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools Mu, Wenjuan; Kleter, Gijs A.; Bouzembrak, Yamine Comprehensive Reviews in Food Science and Food Safety, Vol. 23, Issue 1 https://doi.org/10.1111/1541-4337.13296	journal	January 2024
Blockchain technology and traceability in the agrifood industry Patelli, Niccolò; Mandrioli, Mauro Journal of Food Science, Vol. 85, Issue 11 https://doi.org/10.1111/1750-3841.15477	journal	September 2020
Pulsed electric field processing in the dairy sector: A review of applications, quality impact and implementation challenges Vashisht, Pranav; Singh, Lovepreet; Mahanta, Shikhadri International Journal of Food Science & Technology, Vol. 59, Issue 4 https://doi.org/10.1111/ijfs.16979	journal	February 2024
Electronic nose classification and differentiation of bacterial foodborne pathogens based on support vector machine optimized with particle swarm optimization algorithm Bonah, Ernest; Huang, Xingyi; Yi, Ren Journal of Food Process Engineering, Vol. 42, Issue 6 https://doi.org/10.1111/jfpe.13236	journal	August 2019
Dynamic risk assessment of food safety based on an improved hidden Markov model integrating cuckoo search algorithm: A sterilized milk study Lin, Xiaoyong; Li, Jiatong; Han, Yongming Journal of Food Process Engineering, Vol. 44, Issue 3 https://doi.org/10.1111/jfpe.13630	journal	January 2021
Machine learning: Trends, perspectives, and prospects Jordan, M. I.; Mitchell, T. M. Science, Vol. 349, Issue 6245 https://doi.org/10.1126/science.aaa8415	journal	July 2015
Natural language processing: an introduction Nadkarni, Prakash M.; Ohno-Machado, Lucila; Chapman, Wendy W. Journal of the American Medical Informatics Association, Vol. 18, Issue 5 https://doi.org/10.1136/amiajnl-2011-000464	journal	September 2011
Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review Khanbhai, Mustafa; Anyadi, Patrick; Symons, Joshua BMJ Health & Care Informatics, Vol. 28, Issue 1 https://doi.org/10.1136/bmjhci-2020-100262	journal	March 2021
Automatic document classification Blosseville, M. J.; Hébrail, G.; Monteil, M. G. Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92 https://doi.org/10.1145/133160.133175	conference	January 1992
Get another label? improving data quality and data mining using multiple, noisy labelers Sheng, Victor S.; Provost, Foster; Ipeirotis, Panagiotis G. Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08 https://doi.org/10.1145/1401890.1401965	conference	January 2008
Next challenges for adaptive learning systems Zliobaite, Indre; Bifet, Albert; Gaber, Mohamed ACM SIGKDD Explorations Newsletter, Vol. 14, Issue 1 https://doi.org/10.1145/2408736.2408746	journal	December 2012
Smart Sensing, Communication, and Control in Perishable Food Supply Chain Pal, Amitangshu; Kant, Krishna ACM Transactions on Sensor Networks, Vol. 16, Issue 1 https://doi.org/10.1145/3360726	journal	January 2020
Freshness Recognition of Fruit and Vegetable Images using GANs Series Data Augmentation Zhao, Zhihong; You, Jieshun; Cui, Yunong Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing https://doi.org/10.1145/3577164.3577169	conference	November 2022
How Can AI Help Improve Food Safety? Qian, C.; Murphy, S. I.; Orsi, R. H. Annual Review of Food Science and Technology, Vol. 14, Issue 1 https://doi.org/10.1146/annurev-food-060721-013815	journal	March 2023
Emerging Applications of Machine Learning in Food Safety Deng, Xiangyu; Cao, Shuhao; Horn, Abigail L. Annual Review of Food Science and Technology, Vol. 12, Issue 1 https://doi.org/10.1146/annurev-food-071720-024112	journal	March 2021
Addressing the data aspects of compliance with industry models Delbaere, M.; Ferreira, R. IBM Systems Journal, Vol. 46, Issue 2 https://doi.org/10.1147/sj.462.0319	journal	January 2007
Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection Tretola, Marco; Ottoboni, Matteo; Di Rosa, Ambra Rita Journal of Food Quality, Vol. 2017 https://doi.org/10.1155/2017/1064580	journal	January 2017
Deep Learning for Computer Vision: A Brief Review Voulodimos, Athanasios; Doulamis, Nikolaos; Doulamis, Anastasios Computational Intelligence and Neuroscience, Vol. 2018 https://doi.org/10.1155/2018/7068349	journal	January 2018
Food Image Recognition and Food Safety Detection Method Based on Deep Learning Wang, Ying; Wu, Jianbo; Deng, Hui Computational Intelligence and Neuroscience, Vol. 2021, Issue 1 https://doi.org/10.1155/2021/1268453	journal	January 2021
Opportunities of Artificial Intelligence and Machine Learning in the Food Industry Kumar, Indrajeet; Rawat, Jyoti; Mohd, Noor Journal of Food Quality, Vol. 2021 https://doi.org/10.1155/2021/4535567	journal	July 2021
Clustering of Pseudomonas aeruginosa transcriptomes from planktonic cultures, developing and mature biofilms reveals distinct expression profiles Waite, Richard D.; Paccanaro, Alberto; Papakonstantinopoulou, Anastasia BMC Genomics, Vol. 7, Issue 1 https://doi.org/10.1186/1471-2164-7-162	journal	June 2006
Internet of Things Based Systems for Food Safety Management Doinea, Mihai; Boja, Catalin; Batagan, Lorena Informatica Economica, Vol. 19, Issue 1/2015 https://doi.org/10.12948/issn14531305/19.1.2015.08	journal	March 2015
Data Preprocessing: The Techniques for Preparing Clean and Quality Data for Data Analytics Process Joshi, Ashish P.; Patel, Biraj V. Oriental journal of computer science and technology, Vol. 13, Issue 0203 https://doi.org/10.13005/ojcst13.0203.03	journal	January 2021
Ozone processing of milk and milk products: a review of applications, quality effect and implementation challenges Vashisht, Pranav; Verma, Digvijay; Singh, Lovepreet International Journal of Food Engineering, Vol. 20, Issue 9-10 https://doi.org/10.1515/ijfe-2024-0113	journal	September 2024
Prospects of robotics in food industry Iqbal, Jamshed; Khan, Zeashan Hameed; Khalid, Azfar Food Science and Technology, Vol. 37, Issue 2 https://doi.org/10.1590/1678-457x.14616	journal	May 2017
Research on food safety sampling inspection system based on deep learning Chen, Tzu-Chia; Yu, Shu-Yan Food Science and Technology, Vol. 42 https://doi.org/10.1590/fst.29121	journal	January 2022
Reinforcement Learning: A Survey Kaelbling, L. P.; Littman, M. L.; Moore, A. W. Journal of Artificial Intelligence Research, Vol. 4 https://doi.org/10.1613/jair.301	journal	January 1996
Internet of Things Applications in Precision Agriculture: A Review Abu, N. S.; Bukhari, W. M.; Ong, C. H. Journal of Robotics and Control (JRC), Vol. 3, Issue 3 https://doi.org/10.18196/jrc.v3i3.14159	journal	May 2022
Artificial Intelligence Impact on the Environment: Hidden Ecological Costs and Ethical-Legal Issues Zhuk, A. Journal of Digital Technologies and Law, Vol. 1, Issue 4 https://doi.org/10.21202/jdtl.2023.40	journal	December 2023
Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study Wang, Hanxue; Cui, Wenjuan; Guo, Yunchang JMIR Medical Informatics, Vol. 9, Issue 1 https://doi.org/10.2196/24924	journal	January 2021
Foodborne Disease Risk Prediction Using Multigraph Structural Long Short-term Memory Networks: Algorithm Design and Validation Study Du, Yi; Wang, Hanxue; Cui, Wenjuan JMIR Medical Informatics, Vol. 9, Issue 8 https://doi.org/10.2196/29433	journal	August 2021
Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study Molenaar, Annika; Lukose, Dickson; Brennan, Linda Journal of Medical Internet Research, Vol. 26 https://doi.org/10.2196/47826	journal	March 2024
Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis Rose, Shyanika W.; Jo, Catherine L.; Binns, Steven Journal of Medical Internet Research, Vol. 19, Issue 2 https://doi.org/10.2196/jmir.5694	journal	February 2017
Methods of Data Collection: A Fundamental Tool of Research No authors listed Journal of Integrated Community Health, Vol. 10, Issue 01 https://doi.org/10.24321/2319.9113.202101	journal	June 2021
Random Forest, Artificial Neural Network, and Support Vector Machine Models for Honey Classification Martinez‐Castillo, Cecilia; Astray, Gonzalo; Mejuto, Juan Carlos eFood, Vol. 1, Issue 1 https://doi.org/10.2991/efood.k.191004.001	journal	October 2019
Securing financial data storage: A review of cybersecurity challenges and solutions No authors listed International Journal of Science and Research Archive, Vol. 11, Issue 1 https://doi.org/10.30574/ijsra.2024.11.1.0267	journal	February 2024
Comparing Characteristics of Sporadic and Outbreak-Associated Foodborne Illnesses, United States, 2004–2011 Ebel, Eric D.; Williams, Michael S.; Cole, Dana Emerging Infectious Diseases, Vol. 22, Issue 7 https://doi.org/10.3201/eid2207.150833	journal	July 2016
Improving the Quality of Service: ETL Implementation on Data Warehouse at Pharmacy Industry Dwi Wardhani, Fardhila Zahra; Wiratama, Jansen Jurnal Tekno Kompak, Vol. 18, Issue 1 https://doi.org/10.33365/jtk.v18i1.3211	journal	February 2024
Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain Donaghy, John A.; Danyluk, Michelle D.; Ross, Tom Frontiers in Microbiology, Vol. 12 https://doi.org/10.3389/fmicb.2021.668196	journal	May 2021
Food Security, Safety, and Sustainability—Getting the Trade-Offs Right Vågsholm, Ivar; Arzoomand, Naser Shah; Boqvist, Sofia Frontiers in Sustainable Food Systems, Vol. 4 https://doi.org/10.3389/fsufs.2020.00016	journal	February 2020
Artificial Intelligence: Implications for the Agri-Food Sector Taneja, Akriti; Nair, Gayathri; Joshi, Manisha Agronomy, Vol. 13, Issue 5 https://doi.org/10.3390/agronomy13051397	journal	May 2023
Alleviating Heavy Metal Toxicity in Milk and Water through a Synergistic Approach of Absorption Technique and High Voltage Atmospheric Cold Plasma and Probable Rheological Changes Habib, Mohammad Ruzlan; Mahanta, Shikhadri; Jolly, Yeasmin Nahar Biomolecules, Vol. 12, Issue 7 https://doi.org/10.3390/biom12070913	journal	June 2022
AI-Enabled Efficient and Safe Food Supply Chain Kollia, Ilianna; Stevenson, Jack; Kollias, Stefanos Electronics, Vol. 10, Issue 11 https://doi.org/10.3390/electronics10111223	journal	May 2021
Recent Trends in AI-Based Intelligent Sensing Sharma, Abhishek; Sharma, Vaidehi; Jaiswal, Mohita Electronics, Vol. 11, Issue 10 https://doi.org/10.3390/electronics11101661	journal	May 2022
AI-Based Resource Allocation Techniques in Wireless Sensor Internet of Things Networks in Energy Efficiency with Data Optimization Ahmed, Quazi Warisha; Garg, Shruti; Rai, Amrita Electronics, Vol. 11, Issue 13 https://doi.org/10.3390/electronics11132071	journal	July 2022
Trends of Using Sensory Evaluation in New Product Development in the Food Industry in Countries That Belong to the EIT Regional Innovation Scheme Świąder, Katarzyna; Marczewska, Magdalena Foods, Vol. 10, Issue 2 https://doi.org/10.3390/foods10020446	journal	February 2021
Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives Beć, Krzysztof B.; Grabska, Justyna; Huck, Christian W. Foods, Vol. 11, Issue 10 https://doi.org/10.3390/foods11101465	journal	May 2022
Computer Vision System for Mango Fruit Defect Detection Using Deep Convolutional Neural Network Nithya, R.; Santhi, B.; Manikandan, R. Foods, Vol. 11, Issue 21 https://doi.org/10.3390/foods11213483	journal	November 2022
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis Liu, Zhe; Wang, Shuzhe; Zhang, Yudong Foods, Vol. 12, Issue 6 https://doi.org/10.3390/foods12061242	journal	March 2023
Atmospheric Cold Plasma as an Alternative to Chlorination in Soft Wheat Flour to Prepare High-Ratio Cakes Mahanta, Shikhadri; Bock, Jayne; Mense, Andrew Foods, Vol. 13, Issue 15 https://doi.org/10.3390/foods13152366	journal	July 2024
Past, Present and Future of Sensors in Food Production Adley, Catherine Foods, Vol. 3, Issue 3 https://doi.org/10.3390/foods3030491	journal	August 2014
An Analysis of Public Opinions Regarding Take-Away Food Safety: A 2015–2018 Case Study on Sina Weibo Song, Cen; Guo, Chunyu; Hunt, Kyle Foods, Vol. 9, Issue 4 https://doi.org/10.3390/foods9040511	journal	April 2020
Effect of High-Voltage Atmospheric Cold Plasma Treatment on Germination and Heavy Metal Uptake by Soybeans (Glycine max) Mahanta, Shikhadri; Habib, Mohammad Ruzlan; Moore, Janie McClurkin International Journal of Molecular Sciences, Vol. 23, Issue 3 https://doi.org/10.3390/ijms23031611	journal	January 2022
Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics Sharma, Saurabh; Gahlawat, Vijay Kumar; Rahul, Kumar Logistics, Vol. 5, Issue 4 https://doi.org/10.3390/logistics5040066	journal	September 2021
Valorisation of Agri-Food Waste for Bioactive Compounds: Recent Trends and Future Sustainable Challenges Yadav, Sujeeta; Malik, Kamla; Moore, Janie McClurkin Molecules, Vol. 29, Issue 9 https://doi.org/10.3390/molecules29092055	journal	April 2024
IoT-Blockchain Enabled Optimized Provenance System for Food Industry 4.0 Using Advanced Deep Learning Khan, Prince Waqas; Byun, Yung-Cheol; Park, Namje Sensors, Vol. 20, Issue 10 https://doi.org/10.3390/s20102990	journal	May 2020
Internet of Robotic Things in Smart Domains: Applications and Challenges Romeo, Laura; Petitti, Antonio; Marani, Roberto Sensors, Vol. 20, Issue 12 https://doi.org/10.3390/s20123355	journal	June 2020
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review Pech, Martin; Vrchota, Jaroslav; Bednář, Jiří Sensors, Vol. 21, Issue 4 https://doi.org/10.3390/s21041470	journal	February 2021
Recent Advances and Applications of Rapid Microbial Assessment from a Food Safety Perspective Pampoukis, George; Lytou, Anastasia E.; Argyri, Anthoula A. Sensors, Vol. 22, Issue 7 https://doi.org/10.3390/s22072800	journal	April 2022
Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies Ferrara, Emilio Sci, Vol. 6, Issue 1 https://doi.org/10.3390/sci6010003	journal	December 2023
U-Net-Based Foreign Object Detection Method Using Effective Image Acquisition System: A Case of Almond and Green Onion Flake Food Process Son, Guk-Jin; Kwak, Dong-Hoon; Park, Mi-Kyung Sustainability, Vol. 13, Issue 24 https://doi.org/10.3390/su132413834	journal	December 2021
A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies da Costa, Tamíris Pacheco; Gillespie, James; Cama-Moncunill, Xavier Sustainability, Vol. 15, Issue 1 https://doi.org/10.3390/su15010614	journal	December 2022
Defect detection of seals in multilayer aseptic packages using deep learning Adem, Kemal; KÖZkurt, Cemil TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, Vol. 27, Issue 6 https://doi.org/10.3906/elk-1903-112	journal	November 2019
Ethical AI/ML at Nestlé: From vision to strategy to execution Pinart, Carolina; Mora, Enrigue Journal of AI, Robotics & Workplace Automation, Vol. 1, Issue 3 https://doi.org/10.69554/PRRB1566	journal	March 2022
Machine Learning Alpaydın, Ethem The MIT Press Essential Knowledge series https://doi.org/10.7551/mitpress/13811.001.0001	book	August 2021

Similar Records

Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization

Journal Article · Fri Oct 18 20:00:00 EDT 2024 · Forecasting · OSTI ID:2474807

Effectiveness of the food recovery at the retailing stage under shelf life uncertainty: An application to Italian food chains

Journal Article · Wed Jul 15 00:00:00 EDT 2015 · Waste Management · OSTI ID:22472529

Application of Artificial Intelligence/Machine Learning to Operations Research

Technical Report · Tue Dec 31 23:00:00 EST 2024 · OSTI ID:2516868

Related Subjects

AI
IoT
blockchain
computer vision
deep learning
food quality
food safety
food security
machine learning
natural language processing

Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review

Citation Formats

References (172)

Similar Records

Related Subjects