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Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties
| Title: | Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties | Authors: | Kolašinac M., Stefan |
Issue Date: | 2025 | Publication: | Plants | ISSN: | 2223-7747 Plants-Basel Search Idenfier |
Publisher: | MDPI | Type: | Article | Collation: | vol. 14 br. 9 str. 1304-1304 | DOI: | 10.3390/plants14091304 | WoS-ID: | 001486250400001 | Scopus-ID: | 2-s2.0-105004841996 | PMID: | 40364333 | PMCID: | PMC12073739 | URI: | https://RIVeC.institut-palanka.rs/handle/123456789/1079 https://enauka.gov.rs/handle/123456789/980103 |
Project: | Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200216 (Institut za povrtarstvo, Smederevska Palanka) R-SPECT - Novel Raman chemometrics-based approach in food quality assessment: Carotenoids as model nutrients for application to functional products |
M-category: | 21M21 |