一种修复植物中镉元素含量分布的可视化方法、设备、介质及产品
By constructing a dataset of compressed samples and training a model based on fused spectral features, the problem of low prediction accuracy of cadmium content in remediation plants was solved, and accurate quantification and visualization of cadmium distribution in plant roots, stems, and leaves were achieved.
CN122417221APending Publication Date: 2026-07-17ZHEJIANG UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG UNIV
- Filing Date
- 2025-01-08
- Publication Date
- 2026-07-17
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Figure CN122417221A_ABST
Abstract
本申请公开了一种修复植物中镉元素含量分布的可视化方法、设备、介质及产品，涉及环境污染元素检测技术领域，该方法对每个压片样品的宽波段激光诱导击穿光谱和窄波段激光诱导击穿光谱进行特征提取并融合得到融合光谱特征；以每个压片样品的融合光谱特征为输入，以每个压片样品的镉元素含量参考值为输出，训练植物镉元素定量检测模型；制备每个修复植物的根、茎和叶的可视化样品；根据可视化样品的激光诱导击穿光谱和目标植物镉元素定量检测模型，确定可视化样品表面上各镉元素含量预测值；基于可视化样品表面上各镉元素含量预测值和可视化样品的图像，确定植物的根、茎、叶的镉元素可视化分布结果。
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