基于FTIR和NIR光谱学结合化学测量方法的Gastrodia elata Blume物种的快速和准确的识别

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Updated: Jun 12, 2025

Characterizing Lewis Pairs Using Titration Coupled with In Situ Infrared Spectroscopy
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Characterizing Lewis Pairs Using Titration Coupled with In Situ Infrared Spectroscopy

Published on: February 20, 2020

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Guangyao Li1, Jieqing Li2, Honggao Liu3

  • 1College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China; Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China.

Talanta
|September 21, 2024
PubMed
概括

准确的识别的胃叶蓝色 (G. elata Bl.) 的确切的识别. 品种对药品质量至关重要. 深度学习模型,特别是ResNet,使用光谱数据实现了100%的准确性,超过了传统的机器学习方法.

关键词:
深度学习是一种深度学习.美国的FTIR是FTIR.胃类虫是布鲁姆的动物.机器学习 机器学习在NIR中,NIR是NIR.种类 种类 种类

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