Application of laser-induced breakdown spectroscopy for total carbon quantification in soil samples

2012 ◽  
Vol 51 (7) ◽  
pp. B149 ◽  
Author(s):  
Krishna K. Ayyalasomayajula ◽  
Fang Yu-Yueh ◽  
Jagdish P. Singh ◽  
Dustin L. McIntyre ◽  
Jinesh Jain
Keyword(s):  
Soil Samples ◽  
Total Carbon ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Deep Learning Associated with Laser-Induced Breakdown Spectroscopy (LIBS) for the Prediction of Lead in Soil

2019 ◽  
Vol 73 (5) ◽  
pp. 565-573 ◽  
Author(s):  
Yun Zhao ◽  
Mahamed Lamine Guindo ◽  
Xing Xu ◽  
Miao Sun ◽  
Jiyu Peng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Confusion Matrix ◽  
Principal Component ◽  
Classification Performance ◽  
Soil Samples ◽  
Laser Induced Breakdown Spectroscopy ◽  
Support Vector ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Different Levels

In this study, a method based on laser-induced breakdown spectroscopy (LIBS) was developed to detect soil contaminated with Pb. Different levels of Pb were added to soil samples in which tobacco was planted over a period of two to four weeks. Principal component analysis and deep learning with a deep belief network (DBN) were implemented to classify the LIBS data. The robustness of the method was verified through a comparison with the results of a support vector machine and partial least squares discriminant analysis. A confusion matrix of the different algorithms shows that the DBN achieved satisfactory classification performance on all samples of contaminated soil. In terms of classification, the proposed method performed better on samples contaminated for four weeks than on those contaminated for two weeks. The results show that LIBS can be used with deep learning for the detection of heavy metals in soil.

Multivariate Analysis of Laser-Induced Breakdown Spectroscopy Spectra of Soil Samples

Soil Science ◽  
2010 ◽  
Vol 175 (9) ◽  
pp. 447-452 ◽  
Author(s):  
Ningfang Yang ◽  
Neal S. Eash ◽  
Jaehoon Lee ◽  
Madhavi Z. Martin ◽  
Yong-Seon Zhang ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Soil Samples ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Design and constructions laser - induced breakdown spectroscopy system to determine the fertility of north Iraqi soil

2018 ◽  
Vol 16 (38) ◽  
pp. 56-65
Author(s):  
Nuha Ahmed Hussein
Keyword(s):  
Focal Length ◽  
Atomic Emission ◽  
Northern Region ◽  
Soil Samples ◽  
Laser Induced Breakdown Spectroscopy ◽  
Laser Induced Plasma ◽  
Breakdown Spectroscopy ◽  
Convex Lens ◽  
Laser Induced Breakdown ◽  
Better Than

Laser-Induced Breakdown Spectroscopy (LIBS) has been documented as an Atomic Emission Spectroscopy (AES) technique, utilising laser-induced plasma, in order to analyse elements in materials (gases, liquids and solid). The Nd:YAG laser passively Q-switched at 1064nm and 9ns pulse duration focused by convex lens with focal length 100 mm to generates power density 5.5×1012 Mw/mm2 with optical spectrum in the range 320-740 nm. Four soil samples were brought from different northern region of Iraq, northern region (Beiji, Sherkat, Serjnar and Zerkary).The soil of the Northern region of Beige, Sherkat, Serjnar and Zarkary has abundant ratios of the elements P [0.08, 0.09, 0.18, 0.18] and Ca [0.61, 0.15, 0.92, 0.92] while it lack of Si [0.008, 0.004, 0.04, 0.02] element. The data analysis for these soils showed that the cities of Serjnar and Zarkary have soils better than of Sherkat. It is noticed from the obtained P [0.18], and Ca [0.92] elements concentrations of the soil that the cities of Serjnar and Zarkary have the best soil for cultivation.

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