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Updated: Jan 31, 2026

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基于智能手机的色度传感与参考校准和整体机器学习,用于增强检测酸盐和离子

Trung Nguyen Quoc1, Minh-Vuong Phan2, Khoi Pham Dang1

  • 1Department of Information Technology, FPT University, Ho Chi Minh City, Viet Nam.

Analytica chimica acta
|January 29, 2026
PubMed
概括

这项研究提出了一个强大的智能手机测色平台,用于准确检测营养物质,对酸盐 (NO2-) 和 (NH4+) 达到95%以上的准确性. 综合系统增强了环境监测的设备独立性和可重复性.

关键词:
颜值测量智能手机传感器组合模型组合模型机器学习 机器学习水质监测 监测水质 监测水质

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