Miniature spectrometer data analytics for food fraud

Autor: Fayas Asharindavida, Omar Nibouche, James Uhomoibhi, Jun Liu, Jordan Vincent, Hui Wang

Publikováno v: Journal of Consumer Protection and Food Safety.

Machine learning has been extensively used for analyzing spectral data in food quality management. However, collecting high-quality spectral data from miniature spectrometers outside the laboratory is challenging due to various factors such as distor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f84f1c246ecb40ab1936f48dd15d5881
https://doi.org/10.1007/s00003-023-01439-8

Differentiation of Apple Varieties and Investigation of Organic Status Using Portable Visible Range Reflectance Spectroscopy

Autor: Jordan Vincent, Hui Wang, Omar Nibouche, Paul Maguire

Publikováno v: Sensors, Vol 18, Iss 6, p 1708 (2018)

Food fraud, the sale of goods that have in some way been mislabelled or tampered with, is an increasing concern, with a number of high profile documented incidents in recent years. These recent incidents and their scope show that there are gaps in th

Externí odkaz: https://doaj.org/article/362443ef4b1d4cfb90fe0df2435c570e

Evaluation of olive oil quality using a miniature spectrometer: a machine learning approach

Autor: O. Nibouche, Fayas Asharindavida, Hui Wang, Jordan Vincent, James Uhomoibhi

Publikováno v: Sensing for Agriculture and Food Quality and Safety XIII.

Food authentication and quality checks can be carried out by applying machine learning algorithms on spectral data acquired from miniature spectrometers. This is a very appealing solution as the cost-effectiveness of miniature spectrometers extends t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5cde0b9cffd85177c002fee661112814
https://doi.org/10.1117/12.2587878

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Quantifying sequential subsumption

Autor: Hui Wang, Jordan Vincent, Zhiwei Lin, Cees H. Elzinga

Publikováno v: Wang, H, Elzinga, C H, Lin, Z & Vincent, J 2019, ' Quantifying sequential subsumption ', Theoretical Computer Science, vol. 793, pp. 79-99 . https://doi.org/10.1016/j.tcs.2019.05.025, https://doi.org/10.1016/j.tcs.2019.05.025

Subsumption is used in knowledge representation and ontology to describe the relationship between concepts. Concept A is subsumed by concept B if the extension of A is always a subset of the extension of B, irrespective of the interpretation. The sub

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ccc78fc01546abb2b60d9fc6a1c5eb0
https://pure.qub.ac.uk/en/publications/quantifying-sequential-subsumption(2469e417-55d8-47ae-9209-b8744fff7c01).html