The Use of Fluorescence Spectroscopic Data and Machine-Learning Algorithms to Discriminate Red Onion Cultivar and Breeding Line

The Use of Fluorescence Spectroscopic Data and Machine-Learning Algorithms to Discriminate Red Onion Cultivar and Breeding Line

The objective of this study was to evaluate differences between the red onion cultivar and breeding line using models based on selected fluorescence spectroscopic data built using machine-learning algorithms from different groups of Trees, Functions, Bayes, Meta, Rules, and Lazy. The combination of...

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Bibliographic Details
Main Authors: Kadir Sabanci, Muhammet Fatih Aslan, Vanya Slavova, Stefka Genova
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agriculture
Subjects:
onion bulb
onion cultivar
onion breeding line
fluorescence spectroscopy
machine-learning algorithms
discrimination
Online Access:https://www.mdpi.com/2077-0472/12/10/1652

Internet

https://www.mdpi.com/2077-0472/12/10/1652

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