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Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins

Lei Feng, Baohua Wu, Susu Zhu, Yong He, Chu Zhang
2021 Frontiers in Nutrition  
The applications of visible, near-infrared, and mid-infrared spectroscopy as well as hyperspectral imaging techniques on crop food, beverage, fruits, nuts, meat, oil, and some other kinds of food are reviewed  ...  In this review, we outline recent research progress on identifying food varieties and geographical origins using visible/infrared spectroscopy and hyperspectral imaging with the help of machine learning  ...  All authors contributed to the article and approved the submitted version.  ... 
doi:10.3389/fnut.2021.680357 fatcat:rbpztnvsi5gbtpi75rddkiig7a

Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods

Werickson Fortunato de Carvalho Rocha, Charles Bezerra do Prado, Niksa Blonder
2020 Molecules  
In this review, we present the application of non-linear methods such as artificial neural networks, support vector machines, self-organizing maps, and multi-layer artificial neural networks in the field  ...  The principles of algorithms are described, and examples are presented for solving the problems of exploratory analysis, classification, and prediction.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/molecules25133025 pmid:32630676 pmcid:PMC7411792 fatcat:pkourlj2v5anfl7zsgu2wa3nuy

A Review of Recent Studies Employing Hyperspectral Imaging for the Determination of Food Adulteration

Havva Tümay Temiz, Berdan Ulaş
2021 Photochem  
Subsequent to the research on existing literature, studies were evaluated based on different food categories.  ...  In light of the information extracted from the related literature, methods and alternative approaches to increasing the success of HSI based methods are presented.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/photochem1020008 fatcat:csblpfyoufautan7wcyvbo2ctm

A review of neural networks in plant disease detection using hyperspectral data

Kamlesh Golhani, Siva K. Balasundram, Ganesan Vadamalai, Biswajeet Pradhan
2018 Information Processing in Agriculture  
Firstly, we provide a review on NN mechanism, types, models, and classifiers that use different algorithms to process hyperspectral data.  ...  Then we highlight the current state of imaging and nonimaging hyperspectral data for early disease detection.  ...  We acknowledge the valuable comments and suggestions given by the reviewers of this paper.  ... 
doi:10.1016/j.inpa.2018.05.002 fatcat:gwoo3nwdwrdgvmeinlcfge6mma

A Review of the Recent Developments in Integrating Machine Learning Models with Sensor Devices in the Smart Buildings Sector with a View to Attaining Enhanced Sensing, Energy Efficiency, and Optimal Building Management

Dana-Mihaela Petroșanu, George Căruțașu, Nicoleta Luminița Căruțașu, Alexandru Pîrjan
2019 Energies  
in the smart building sector with a view to attaining enhanced sensing, energy efficiency and optimal building management.  ...  based on the body of knowledge.  ...  In [9] , the authors made use of the SVM classifier along with two different feature extraction methods: a manually defined method and a Convolutional Neural Network (CNN).  ... 
doi:10.3390/en12244745 fatcat:eix222pupjcmddolute2qh4wia

Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue—Critical Overview

Balkis Aouadi, John-Lewis Zinia Zaukuu, Flora Vitális, Zsanett Bodor, Orsolya Fehér, Zoltan Gillay, George Bazar, Zoltan Kovacs
2020 Sensors  
This special issue paper focuses on the historical overview of the instruments and their role in food quality measurements based on defined food matrices from the Codex General Standards.  ...  The instruments have been used to detect, classify, and predict adulteration of dairy products, sweeteners, beverages, fruits and vegetables, meat, and fish products.  ...  Acknowledgments: The project was supported by the Doctoral School of Food Science (J.-L.Z.Z., Z.B., B.A., F.V.). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20195479 pmid:32987908 fatcat:bz5tkxecybbchl35xdmvj7tzp4

A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies

Yves Roggo, Pascal Chalus, Lene Maurer, Carmen Lema-Martinez, Aurélie Edmond, Nadine Jent
2007 Journal of Pharmaceutical and Biomedical Analysis  
The following topics are covered: qualitative analyses, quantitative methods and on-line applications.  ...  Near-infrared spectroscopy (NIRS) is a fast and non-destructive analytical method. Associated with chemometrics, it becomes a powerful tool for the pharmaceutical industry.  ...  It has also been possible to assign well defined absorption bands in the NIR spectrum to ␣-helix and ␤-sheet. Proteins can be distinguished based on well defined bands in the NIR spectrum.  ... 
doi:10.1016/j.jpba.2007.03.023 pmid:17482417 fatcat:jrdiwxqnfzbhvmy76ena3jheme

QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs

David K. Bwambok, Noureen Siraj, Samantha Macchi, Nathaniel E. Larm, Gary A. Baker, Rocío L. Pérez, Caitlan E. Ayala, Charuksha Walgama, David Pollard, Jason D. Rodriguez, Souvik Banerjee, Brianda Elzey (+2 others)
2020 Sensors  
general applications for the quality assessment of food products.  ...  Specifically, recent technological innovations and notable advances in quartz crystal microbalances (QCM), electroanalytical techniques, and near infrared (NIR) spectroscopic instrument development in  ...  Karunathilaka [127] used a chemometric model based on PLS to classify the omega-3 oils based on triacylglycerol and ethyl ester polyunsaturated fats.  ... 
doi:10.3390/s20236982 pmid:33297345 fatcat:yiuzjmvl7rdatnfwdfq7aacakm

On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey

Houda Orchi, Mohamed Sadik, Mohammed Khaldoun
2021 Agriculture  
Disease attacks are constant threats to agriculture and cause heavy losses in the country's economy. Therefore, early detection can mitigate the severity of diseases and protect crops.  ...  Finally, this research provides a future perspective that promises to be a highly useful and valuable resource for researchers working in the field of crop disease detection.  ...  Acknowledgments: We are grateful to the reviewers for their work and valuable comments that helped us improve the quality of this manuscript.  ... 
doi:10.3390/agriculture12010009 fatcat:rjihib2navedfkbhw4cplyzsue

A Brief Survey on Breast Cancer Diagnostic with Deep Learning Schemes Using Multi-Image Modalities

Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Azhar Imran, Khalil ur Rehman
2020 IEEE Access  
The primary reason might be a misinterpretation of radiologists in recognizing suspicious lesions due to technical issues in imaging qualities and heterogeneous breast densities which increases the false  ...  This research focusses on providing benefits and risks of breast multi-imaging modalities, segmentation schemes, feature extraction, classification of breast abnormalities through state-of-the-art deep  ...  [89] designed the SVM based model to classify and segment the malignant and benign candidates by using feature selection mRMR (Minimal-Redundancy Maximal-Relevance) algorithm and Chisquar FS algorithm  ... 
doi:10.1109/access.2020.3021343 fatcat:czvctyngmjg6bhzinpmrfmht64

A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

Abd Al Rahman M. Abu Ebayyeh, Alireza Mousavi
2020 IEEE Access  
Other algorithms such as along Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Adaboost and Neural Networks are also used for this purpose.  ...  Since SVM is optimized for binary classification, a standalone SVM algorithm were used to classify light area defects into two VOLUME 4, 2016 defect classes: breakdown and color aberration.  ...  Therefore, it is not straightforward task to choose one keyword to follow in this research.  ... 
doi:10.1109/access.2020.3029127 fatcat:hoimi667cndsrimsnwasamtdey

Sensing technologies for precision specialty crop production

W.S. Lee, V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, C. Li
2010 Computers and Electronics in Agriculture  
On the other hand, sensing techniques for diseases detection and characterization, as well as crop water status, are based on more complex interaction between plant and sensor, making them more difficult  ...  to implement in the field scale and more complex to interpret.  ...  based on PLS analysis results.  ... 
doi:10.1016/j.compag.2010.08.005 fatcat:tesilbgowvf3vplcwgbcevmhyy

Gas sensors based on mass-sensitive transducers. Part 2: Improving the sensors towards practical application

Alexandru Oprea, Udo Weimar
2020 Analytical and Bioanalytical Chemistry  
Within the framework outlined in the first part of the review, the second part addresses attempts to increase receptor material performance through the use of sensor systems and chemometric methods, in  ...  conjunction with receptor preparation methods and sensor-specific tasks.  ...  Targeted analytes and application The spectrum of GGS applications reported in the literature is very large and overlaps that of other sensor types, even that of established ones such as the capacitive  ... 
doi:10.1007/s00216-020-02627-3 pmid:32737549 fatcat:trwsrwwaqzdpdm2muph7r64xye

Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview

Jorge Pereira, Priscilla Porto-Figueira, Carina Cavaco, Khushman Taunk, Srikanth Rapole, Rahul Dhakne, Hampapathalu Nagarajaram, José Câmara
2015 Metabolites  
Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and  ...  However, a key challenge in OPEN ACCESS Metabolites 2014, 5 4 EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research.  ...  Acknowledgments The authors acknowledge the Portuguese Foundation for Science and Technology  ... 
doi:10.3390/metabo5010003 pmid:25584743 pmcid:PMC4381289 fatcat:hajjzire5jbilbvkq6dywdl5ku

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Yan, R., +, TIM 2021 0800502 Identification and Localization of Myocardial Infarction Based on Analysis of ECG Signal in Cross Spectral Domain Using Boosted SVM Classifier.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry
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