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Digital Image-based Inductive Characterization and Classification for Improving the Quality Inspection of Diverse Food Products
2013
Research in Computing Science
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This paper presents three study cases where digital image analysis and inductive characterization techniques have been successfully applied to improve the quality inspection process. ...
With the increasingly demanding international regulations for import and export of food products, as well as with the increased awareness and sophistication of consumers, the food industry needs accurate ...
Conclusions This paper presents three study cases where digital image analysis and inductive characterization techniques have been successfully applied to improve the quality inspection process. ...
doi:10.13053/rcs-68-1-7
fatcat:pxkyzgqsdberxbajqfs2ublwhu
Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System
2022
Journal of Food Quality
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One of the most critical aspects of quality assurance is inspecting products for defects before they are sold or shipped. ...
Recently, the application of machine vision and image processing technology to improve the surface quality of fruits and other foods has increased significantly. ...
provides a method based on image segmentation and machine learning for food inspection and grading. ...
doi:10.1155/2022/5262294
fatcat:6vdxxt7wdbghvg2bcbvbx2eoxu
An Efficient Quality Inspection of Food Products Using Neural Network Classification
2019
Journal of Intelligent Systems
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and organize food products in an elevated quality and secure manner for the increasing population. ...
Currently, there is a necessity for the expansion of precise, rapid, and intentional quality assurance with respect to the character of food and horticultural food items, because it is difficult to maintain ...
Results and Discussion This section provides the results and discussion about an efficient quality inspection of food products using MRG-based segmentation and ANN-based classification approaches. ...
doi:10.1515/jisys-2018-0077
fatcat:xc6z7cuzkfh4bndh6kpc2hkvmq
Artificial Neural Networks in Agriculture
2021
Agriculture
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, and classification of the quality of harvested crops. ...
Currently, the visible development of precision farming and digital agriculture is causing more and more farms to turn to tools based on artificial intelligence. ...
Acknowledgments: We thank the authors for submitting manuscripts of high quality and their willingness to further improve them after peer review, the reviewers for their careful evaluations aimed at eliminating ...
doi:10.3390/agriculture11060497
fatcat:7yofwdsc3jg7pfft5plp2ilmzy
A Review on the Use of Impedimetric Sensors for the Inspection of Food Quality
2020
International Journal of Environmental Research and Public Health
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The use of conductive materials such as gold, copper, tungsten and tin to develop nanowire-based prototypes for the inspection of food quality has also been shown. ...
This paper exhibits a thorough review of the use of impedimetric sensors for the analysis of food quality. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijerph17145220
pmid:32698330
fatcat:5z4cx3kvzvbxfbphlgjrvdzevi
Data mining in manufacturing: a review based on the kind of knowledge
2008
Journal of Intelligent Manufacturing
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The major data mining functions to be performed include characterization and description, association, classification, prediction, clustering and evolution analysis. ...
planning, quality control, scheduling, maintenance, fault detection and so on. ...
[144] applied the association rule mining for improving the quality of assembly operations. ...
doi:10.1007/s10845-008-0145-x
fatcat:rt4aytttffhe3fl7memlodiysa
Vicarious experience in retail e-commerce: An inductive taxonomy of product evaluation support features
2005
Information Systems and E-Business Management
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The taxonomy is then used as the basis for some theory-based conjectures about the types of designs most suitable for different types of product. ...
In particular, we propose that the type of information form and community used should differ for value-expressive and utilitarian goods, and for high and low-involvement goods. ...
One-to-one interactions are characterized by a highly personalized (but host controlled) representation of a product, which is based on the personal attributes and/or preferences supplied by the viewer ...
doi:10.1007/s10257-004-0032-8
fatcat:puapqupmz5fqfbaivzxpvkfgui
Towards a regional beef carcass classification system for Southern Africa
2017
South African Journal or Animal Science
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In addition, the review highlights opportunities for improving these systems in Southern Africa and makes suggestions towards developing a regional beef carcass classification system. ...
The objective of the current review is to provide an overview of beef carcass grading and classification systems in Southern Africa and analyse their shortcomings in valuing carcasses from indigenous breeds ...
Acknowledgements The ...
doi:10.4314/sajas.v47i4.1
fatcat:bhrbgzg6gzhmlnzinuoxjy3kty
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number. ...
Article numbers are based on specified topic areas and corresponding codes associated with the publication. ...
., +, TIM 2021 6501610 A Novel Method for the Image Quality Improvement of Ultrasonic Tomography. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
Making Sense of Light: The Use of Optical Spectroscopy Techniques in Plant Sciences and Agriculture
2022
Applied Sciences
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The emergence of high-throughput technologies for plant phenotyping and the accompanying need for methods for rapid and non-contact assessment of plant productivity has generated renewed interest in the ...
Spectral methods can also assist in remote and non-invasive assessment of the physiology of photosynthetic biofilms and the impact of plant species on biodiversity and ecosystem stability. ...
Time-resolved technique for measuring optical properties and quality of food. ...
doi:10.3390/app12030997
fatcat:7kegshpfr5fuzckdw6orhka7la
Use of Transfer Learning for Automatic Dietary Monitoring through Throat Microphone Recordings
2019
Zenodo
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Then, we investigate the use of transfer learning paradigm in-depth to design an improved food intake detection and classification system. ...
This allows the use of a significantly larger set of adaptation data, adds robustness to the resulting model, and significantly improves the performance of food in [...] ...
A food logging application based on the capture of audio and first-person pointof-view images was developed. ...
doi:10.5281/zenodo.3841957
fatcat:so4kiaj4ljbw5aay36xd6dlx2q
Detection of Irradiated Food and Evaluation of the Given Dose by Electron Spin Resonance, Thermoluminescence, and Gas Chromatographic/Mass Spectrometric Analysis
[chapter]
2018
Food Control and Biosecurity
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Acknowledgments The authors thank CNPq and Fundação Araucária for their financial support. ...
E-26/201.185/2014, FAPERJ, Brazil) and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (Processes no. 311361/2013-7, 313917/2013-2, and 401922/2013 for the financial support. ...
Studies show that the color obtained from digital images is a strong indicator to estimate the fruit ripeness and quality. ...
doi:10.1016/b978-0-12-811445-2.00010-6
fatcat:flc2mqpiwrhn3cmrmnbkgwgfxe
Use of Transfer Learning for Automatic Dietary Monitoring through Throat Microphone Recordings
2019
Zenodo
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Then, we investigate the use of transfer learning paradigm in-depth to design an improved food intake detection and classification system. ...
This allows the use of a significantly larger set of adaptation data, adds robustness to the resulting model, and significantly improves the performance of food in [...] ...
A food logging application based on the capture of audio and first-person pointof-view images was developed. ...
doi:10.5281/zenodo.3841956
fatcat:ncalroecszg3hhpc45havcxhee
Metabolomics-Guided Elucidation of Plant Abiotic Stress Responses in the 4IR Era: An Overview
2021
Metabolites
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These are limiting their development and productivity and are subsequently threatening our food security, especially when considering the pressure of the increasing global population. ...
Thus, there is an urgent need for the next generation of crops with high productivity and resilience to climate change. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/metabo11070445
fatcat:grizhdxgnzcaxlcwr2octo2wdy
Program
2022
2022 International Conference on Decision Aid Sciences and Applications (DASA)
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A maximum of 92.90% classification accuracy is obtained using the features of IMF-4 with 10-fold cross-validation. The results conclude that the proposed method can detect AD patients efficiently. ...
The selected features from EEG recordings of 23 subjects (AD-12 and NC-11) are used to train and test the Leastsquare support vector machine (LS-SVM) classifier with three different kernel functions. ...
The companies could make use of this platform to customize their product to suit customers of diverse nature, tackle regional competitions and always stay flexible to make necessary product improvement ...
doi:10.1109/dasa54658.2022.9765271
fatcat:ttqppf4j3navnaxe653mrzmezi
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