Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms

In the present work, 78 extra virgin olive oil samples (EVOOs) collected from different places of Greece, specifically from the areas of Crete, Peloponnese, Lesvos and Ionian islands, were studied by means of a laser-based technique called Laser-Induced Breakdown Spectroscopy (LIBS), assisted by wel...

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Κύριος συγγραφέας:	Γυφτοκώστας, Νικόλαος
Άλλοι συγγραφείς:	Gyftokostas, Nikolaos
Γλώσσα:	English
Έκδοση:	2021
Θέματα:	LIBS Laser induced breakdown spectroscopy Machine learning Olive oil classification
Διαθέσιμο Online:	http://hdl.handle.net/10889/15111

id	nemertes-10889-15111
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spelling	nemertes-10889-151112022-09-05T05:38:49Z Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms Κατηγοριοποίηση εξτρά παρθένων ελαιολάδων μεσω της τεχνικής LIBS και την χρήση παλμών διάρκειας ns σε συνδυασμό με αλγορίθμους μηχανικής εκμάθησης Γυφτοκώστας, Νικόλαος Gyftokostas, Nikolaos LIBS Laser induced breakdown spectroscopy Machine learning Olive oil classification In the present work, 78 extra virgin olive oil samples (EVOOs) collected from different places of Greece, specifically from the areas of Crete, Peloponnese, Lesvos and Ionian islands, were studied by means of a laser-based technique called Laser-Induced Breakdown Spectroscopy (LIBS), assisted by well-known machine learning algorithms, such as, Principal Components Analysis (PCA), Linear Discriminant Analysis (LDA) and Support Vector Machines (SVMs), aiming to classify/discriminate them in terms of their geographical origin. The classification results obtained demonstrate nicely the potential of the combination of LIBS technique and machine learning algorithms, paving the way towards the utilization of LIBS technique for classification/discrimination of olive oils and eventually for other types of agricultural and edible products. Στην παρούσα μεταπτυχιακή εργασία, 78 δείγματα εξαιρετικά παρθένου ελαιόλαδου, τα οποία συλλέχθηκαν από διάφορες περιοχές της Ελλάδας και πιο συγκεκριμένα από την Κρήτη, την Πελοπόννησο, την Λέσβο και τα Ιόνια νησιά, μελετήθηκαν με την βοήθεια της φασματοσκοπικής τεχνικής LIBS σε συνδυασμό με αλγορίθμους μηχανικής εκμάθησης, όπως η Ανάλυση Κύριων Συνιστωσών (PCA), η Γραμμική Διακριτική Ανάλυση (LDA) και οι Μηχανές Διανυσμάτων Υποστήριξης (SVC) με σκοπό τον διαχωρισμό τους ως προς τη γεωγραφικής τους προέλευσης. Τα εξαιρετικά αποτελέσματα στα οποία κατέληξε αυτή η εργασία αναδεικνύουν τις δυνατότητες του συνδυασμού της τεχνικής LIBS με τις τεχνικές μηχανικής εκμάθησης, ανοίγοντας τον δρόμο για την περαιτέρω εφαρμογή της τεχνικής αυτής για την ταξινόμηση ελαιόλαδων και άλλων γεωργικών προϊόντων και τροφίμων. 2021-07-23T08:14:06Z 2021-07-23T08:14:06Z 2020-05-25 http://hdl.handle.net/10889/15111 en application/pdf
institution	UPatras
collection	Nemertes
language	English
topic	LIBS Laser induced breakdown spectroscopy Machine learning Olive oil classification
spellingShingle	LIBS Laser induced breakdown spectroscopy Machine learning Olive oil classification Γυφτοκώστας, Νικόλαος Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms
description	In the present work, 78 extra virgin olive oil samples (EVOOs) collected from different places of Greece, specifically from the areas of Crete, Peloponnese, Lesvos and Ionian islands, were studied by means of a laser-based technique called Laser-Induced Breakdown Spectroscopy (LIBS), assisted by well-known machine learning algorithms, such as, Principal Components Analysis (PCA), Linear Discriminant Analysis (LDA) and Support Vector Machines (SVMs), aiming to classify/discriminate them in terms of their geographical origin. The classification results obtained demonstrate nicely the potential of the combination of LIBS technique and machine learning algorithms, paving the way towards the utilization of LIBS technique for classification/discrimination of olive oils and eventually for other types of agricultural and edible products.
author2	Gyftokostas, Nikolaos
author_facet	Gyftokostas, Nikolaos Γυφτοκώστας, Νικόλαος
author	Γυφτοκώστας, Νικόλαος
author_sort	Γυφτοκώστας, Νικόλαος
title	Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms
title_short	Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms
title_full	Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms
title_fullStr	Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms
title_full_unstemmed	Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms
title_sort	classification of extra virgin olive oils via libs technique using ns laser pulses combined with machine learning algorithms
publishDate	2021
url	http://hdl.handle.net/10889/15111
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Classification of extra virgin olive oils via LIBS technique using ns laser pulses combined with machine learning algorithms

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