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Updated: May 24, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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一个通用的深度学习模型,用于通过可见光和近红外光谱学预测和分类豆蛋白含量

Tianpu Xiao1, Chunji Xie1, Li Yang1

  • 1College of Engineering, China Agricultural University, Beijing 100083, China; The Soil-Machine-Plant key Laboratory of the Ministry of Agriculture of China, Beijing 100083, China.

Food chemistry
|March 6, 2025
PubMed
概括

一个新的深度学习模型, PeaNet,使用可见光和近红外光谱学准确检测豆蛋白含量. 这种进步有助于作物育种,并确保更好的食品质量控制.

关键词:
深度学习模型深度学习模型食品质量评估 食品质量评估豆子蛋白质是一种豆子蛋白质.光谱技术的技术是光谱学技术.

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