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Updated: Sep 13, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

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使用红外光谱学和机器学习对杏仁品种的分类

Jaume Béjar-Grimalt1, David Pérez-Guaita1, Ángel Sánchez-Illana1

  • 1Department of Analytical Chemistry, University of Valencia, 46100 Burjassot, Spain.

ACS agricultural science & technology
|July 31, 2025
PubMed
概括

减弱总反射率-里埃变换红外光谱 (ATR-FTIR) 与机器学习相结合,可以准确地识别杏仁品种. 这种方法为水果分类提供了传统物理化学分析的更快,无实验室替代方案.

关键词:
在ATRFTIRIR中.在PLS-DA中.普鲁努斯亚美尼亚卡 L L这就是为什么RF是RF,RF是RF在SVM中,SVM是SVM.的回归和分类方法.

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