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Updated: Jan 15, 2026

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

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使用高光谱成像与特征选择算法和多变量回归模型相结合,检测大米中蛋白质和质素含量

Chu Zhang1, Zhongjie Tang1, Xiaojing Tan2

  • 1School of Information Engineering, Huzhou University, Huzhou 313000, China.

Foods (Basel, Switzerland)
|October 16, 2025
PubMed
概括

超光谱成像使用先进的回归模型和特征选择准确检测米中的蛋白质和谷蛋白含量. 这种非破坏性方法有助于精确评估大米的质量.

关键词:
深度学习是一种深度学习.功能选择 功能选择葡萄糖蛋白质蛋白质蛋白质蛋白质蛋白质蛋白质蛋白质蛋白质.超光谱成像技术的使用.普罗拉胺是一种蛋白质.

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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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