Explainable extreme gradient boosting as a machine learning tool for discrimination of the geographical origin of chili peppers using laser ablation-inductively coupled plasma mass spectrometry, X-ray fluorescence, and near-infrared spectroscopy

Explainable extreme gradient boosting as a machine learning tool for discrimination of the geographical origin of chili peppers using laser ablation-inductively coupled plasma mass spectrometry, X-ray fluorescence, and near-infrared spectroscopy

The spectroscopic discrimination of chili pepper samples according to geographical origin was executed using analytical techniques coupled with machine learning. First, laser ablation-inductively coupled plasma mass spectrometry (LA-ICP-MS), X-ray fluorescence (XRF), and near-infrared (NIR) spectros...

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Bibliographic Details
Main Authors: Seongsoo Jeong, Yong-kyoung Kim, Suel Hye Hur, Hyojoo Bang, HoJin Kim, Hoeil Chung
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Agriculture and Food Research
Subjects:
Chili peppers
Authentication of geographical origin
Extreme gradient boosting
Laser ablation inductively coupled plasma mass spectrometry
X-ray fluorescence spectroscopy
Near-infrared spectroscopy
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154324004836
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