Journal of Analytical Atomic Spectrometry · 2021 · 56 citations · 32 references
ComputingComputer ScienceEarth SciencesMachine LearningSoil ClassificationSoil ScienceDeep LearningImage ClassificationMachine Vision For MiningPattern RecognitionSoil InterpretationSoil TextureChemical PropertiesConvolutional Neural NetworksData ProcessingDeep Learning-based ClassificationGeological Feature RecognitionLaser-induced BreakdownLaser-induced Breakdown SpectroscopySoil Pattern Recognition
The results of this article show that 2D-CNN has great potential in the field of soil recognition and classification combine with LIBS, and provides a new and reliable data processing method for LIBS to classify materials with similar chemical properties.
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