Geographic Characterization of Leccinum rugosiceps by Ultraviolet and Infrared Spectral Fusion |
| |
Authors: | Sen Yao Tao Li Hong-Gao Liu |
| |
Affiliation: | 1. College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China;2. Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, China;3. College of Resources and Environment, Yuxi Normal University, Yuxi, China |
| |
Abstract: | Leccinum rugosiceps is an edible mushroom belonging to genus Leccinum of Boletaceae. Its fruiting bodies are richer in nutrients than many vegetables and fruit. The model of support vector machine was established for the discrimination of L. rugosiceps from regions based on rapid and low-cost ultraviolet and infrared spectroscopies. The mid-level data fusion was performed by support vector machine. Compared to a single spectroscopic technique, mid-level data fusion provided higher accuracy by selecting the most significant variance from data matrixes based on partial least squares discriminant analysis. The accuracy of the classification of samples in the calibration and test sets were 85.00 and 94.74%, higher than separate measurements by ultraviolet or infrared spectroscopy. This approach has applications for authentication and quality assessment of L. rugosiceps. |
| |
Keywords: | Data fusion infrared spectroscopy Leccinum rugosiceps support vector machine ultraviolet spectroscopy |
|
|