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Updated: Jun 11, 2025

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

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使用高光谱数据分析和机器学习技术,对泰国圣的含量进行歧视

Apichat Suratanee1,2, Panita Chutimanukul3, Tanapon Saelao4

  • 1Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.

PloS one
|October 2, 2024
PubMed
概括

超光谱成像与机器学习相结合,准确地预测了圣中的含量. 这种非破坏性方法为植物研究提供了传统抗氧化剂分析的快速替代方案.

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Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry11:14

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相关概念视频

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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