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Updated: Jan 9, 2026

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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基于高光谱成像技术和机器学习,检测和可视化楚州的水含量分布

Ye-Wei Yang1, Jing Wu2, Ya-Mei Lu3

  • 1School of Biological and Food Engineering, Chuzhou University, Chuzhou 239000, China; School of Life Sciences, Anhui University, Hefei 230601, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|December 10, 2025
PubMed
概括

超光谱成像和机器学习提供了一种快速,非破坏性的方法来检测Chuju的水分含量. 这种技术可视化了水分分布,确保了产品的高质量和适用于其他农产品的应用.

关键词:
朱朱朱 朱朱朱 朱朱朱 朱朱朱 朱朱朱 朱朱朱 朱朱朱超光谱成像技术的技术.机器学习 机器学习含水量 含水量 含水量非破坏性的检测检测.

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