Polluted soil–plant interaction analysis and soil classification based on laser-induced breakdown spectroscopy and machine learning-Reference-Cited by-同舟云学术

Polluted soil–plant interaction analysis and soil classification based on laser-induced breakdown spectroscopy and machine learning

Published:2024 Issue: Volume: Page:
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Cai Yuyao¹²,Yu Wei¹²,Gao Wenhan¹²,Zhai Ruoyu¹²,Zhang Xinglong¹²,Yu Wenjie¹²,Wang Liusan³,Liu Yuzhu¹²⁴^ORCID

Affiliation:

1. Jiangsu Key Laboratory for Detection of Atmosphere and Ocean, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China

2. Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China

3. Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China

4. Jiangsu Collaborative Innovation Center on Atmosphere Environment and Equipment Technology (CICAEET), Nanjing, Jiangsu 210044, China

Abstract

This study presents a novel method combining Laser-Induced Breakdown Spectroscopy (LIBS) and machine learning for fast, effective analysis of soil pollution, highlighting the impact of heavy metals on garlic crops under contaminated soil conditions.

Funder

National Natural Science Foundation of China

Nanjing University of Information Science and Technology

National College Students Innovation and Entrepreneurship Training Program

National Key Research and Development Program of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AY/D4AY00875H

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