Differentiation of Yeast-Inoculated and Uninoculated Tomatoes Using Fluorescence Spectroscopy Combined with Machine Learning

Differentiation of Yeast-Inoculated and Uninoculated Tomatoes Using Fluorescence Spectroscopy Combined with Machine Learning

Artificial-intelligence-based analysis methods can provide objective and accurate results. This study aimed to evaluate the performance of machine learning algorithms to classify yeast-inoculated and uninoculated tomato samples using fluorescent spectroscopic data. For this purpose, three different...

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Bibliographic Details
Main Authors: Ewa Ropelewska, Vanya Slavova, Kadir Sabanci, Muhammet Fatih Aslan, Veselina Masheva, Mariana Petkova
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Agriculture
Subjects:
yeast-inoculated tomato
fluorescence spectroscopic data
machine learning algorithms
classification metrics
Online Access:https://www.mdpi.com/2077-0472/12/11/1887

Internet

https://www.mdpi.com/2077-0472/12/11/1887

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