Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties

Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties

The aim of this research is to investigate the potential of Raman and FT-IR spectroscopy as well as mathematical linear and non-linear models as a tool for the discrimination of different seed varieties of paprika, tomato, and lettuce species. After visual inspection of spectra, pre-processing was a...

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Bibliographic Details
Main Authors: Stefan M. Kolašinac, Marko Mladenović, Ilinka Pećinar, Ivan Šoštarić, Viktor Nedović, Vladimir Miladinović, Zora P. Dajić Stevanović
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Plants
Subjects:
merging spectra
vibrational spectroscopy
support vector machine (SVM)
vegetable seed
breeding
Online Access:https://www.mdpi.com/2223-7747/14/9/1304
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