التفاصيل البيبلوغرافية
| العنوان: |
Towards a Spectral Library of Medicinal and Aromatic Plant species (MAPs): Plant Discrimination and Wavelength Selection. |
| المؤلفون: |
El Azizi, Sarah1 (AUTHOR) sarah.elazizi@etu.uae.ac.ma, Amharref, Mina1 (AUTHOR), Es-Saouini, Hind1 (AUTHOR), Bernoussi, Abdes-Samed1 (AUTHOR), El Abdellaoui, Jamal Eddine1 (AUTHOR) |
| المصدر: |
Microchemical Journal. Dec2024, Vol. 207, pN.PAG-N.PAG. 1p. |
| مصطلحات موضوعية: |
*AROMATIC plants, *PRINCIPAL components analysis, *PLANT species, *DISCRIMINANT analysis, *INFRARED spectroscopy |
| مستخلص: |
[Display omitted] • Construction of Medicinal and Aromatic plant (MAP) library is essential for plant monitoring. • Plant species can be discriminated by UV-NIR spectroscopy. • Hyperspectral remote sensing, chemometrics and PCA-PLSDA are effective for species discrimination. • Near infrared spectral range offers the best performance for MAP discrimination. The recognition and identification of Medicinal and Aromatic Plants species (MAPs) is a challenge for researchers and professionals in the field. To address this issue, this study aimed to examine the potential of using hyperspectral remote sensing, chemometrics and Machine Learning in discriminating between MAP species. Specifically, we tested the applicability of UV-Near-infrared Spectroscopy (UV-NIR), PCA and Partial Least-Squares Discriminant Analysis (PLS-DA) as tools for discrimination. The spectral signature data were obtained by UV-near infrared spectroscopy, covering a range of 325–1075 nm. Principal component analysis (PCA) was applied to reduce data dimensionality in order to minimize errors in PLS-DA model. This model was used to build a discriminant model based on the wavelengths obtained from PCA. The results show that it is effective to combine UV-NIR spectral features and PLS-DA to establish a discriminant model for accurately classifying the MAP species. The key wavelengths most involved in the discrimination were found in the NIR region and especially in ranges 516–548 and 628–1070 nm. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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