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Updated: Jul 10, 2026

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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在土壤植物系统中Hg和As污染被通过结合多光谱UAV-RS,地球化学调查和机器学习来评估

L Salgado1, C A López-Sánchez2, A Colina3

  • 1SMartForest Research Group, Department of Biology of Organisms and Systems Biology, University of Oviedo, 33600 Mieres, Spain; Environmental Biogeochemistry & Raw Materials Group and Institute of Natural Resources and Territorial Planning (INDUROT), University of Oviedo, 33600 Mieres, Spain.

Environmental pollution (Barking, Essex : 1987)
|June 21, 2023
PubMed
概括

这项研究引入了一种新的方法,结合了地化学调查,无人机多谱成像和机器学习,以准确预测土壤和植被污染物水平. 随机森林模型证明有效地绘制了在前矿场的和污染的地图.

关键词:
的含量是多少?的含量是多少水星 水星 水星 水星 水星植物植物植物植物植物.随机的森林随机的森林遥感是一种远程传感.土壤 土壤土壤.

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