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Updated: Jan 7, 2026

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

Published on: June 28, 2016

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基于多通道光谱传感器的仪器作为Agtron的替代品,用于使用经典的化学测量和机器学习方法预测咖啡烤度

Diang Sagita1, Sutrisno Suro Mardjan2, Slamet Widodo2

  • 1Agricultural Engineering Science, Graduate School, IPB University, Bogor 16680, Indonesia; Research Center for Equipment Manufacturing Technology, National Research and Innovation Agency, South Tangerang 15314, Indonesia.

Food chemistry
|December 31, 2025
PubMed
概括

一个新的Agtron检测系统使用低成本的光谱传感器和化学测量方法来创建一个便携式咖啡烤机分析仪. 这个现场准备的设备准确地测量了阿拉伯咖啡,罗布斯塔咖啡,利比里卡咖啡和埃克塞尔萨咖啡的烤咖啡水平.

关键词:
人工智能的人工智能是人工智能.嵌入式机器学习嵌入式机器学习烤咖啡的程度 烤咖啡的程度频谱数据分析的数据分析.

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