Spectral fusion of laser-induced breakdown spectroscopy (LIBS) and mid-infrared spectroscopy (MIR) coupled with random forest (RF) for quantitative analysis of soil pH

2021 ◽  
Author(s):  
Tingting Chen ◽  
Jing Men ◽  
Mingjing Zhao ◽  
Tianlong Zhang ◽  
Hua Li
Keyword(s):  
Infrared Spectroscopy ◽  
Soil Ph ◽  
Precision Agriculture ◽  
Soil Characteristics ◽  
Laser Induced Breakdown Spectroscopy ◽  
Mid Infrared ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Properties Of Soil

Soil pH is one of the important properties of soil. The quickly and accurately determination of the pH of soil is key to realizing precision agriculture and understanding soil characteristics...

scholarly journals Soil Nutrient Detection for Precision Agriculture Using Handheld Laser-Induced Breakdown Spectroscopy (LIBS) and Multivariate Regression Methods (PLSR, Lasso and GPR)

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 418 ◽  
Author(s):  
Alexander Erler ◽  
Daniel Riebe ◽  
Toralf Beitz ◽  
Hans-Gerd Löhmannsröben ◽  
Robin Gebbers
Keyword(s):  
Precision Agriculture ◽  
Multivariate Regression ◽  
Humus Content ◽  
Laser Induced Breakdown Spectroscopy ◽  
Soil Parameters ◽  
Soil Matrix ◽  
Regression Methods ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Precision agriculture (PA) strongly relies on spatially differentiated sensor information. Handheld instruments based on laser-induced breakdown spectroscopy (LIBS) are a promising sensor technique for the in-field determination of various soil parameters. In this work, the potential of handheld LIBS for the determination of the total mass fractions of the major nutrients Ca, K, Mg, N, P and the trace nutrients Mn, Fe was evaluated. Additionally, other soil parameters, such as humus content, soil pH value and plant available P content, were determined. Since the quantification of nutrients by LIBS depends strongly on the soil matrix, various multivariate regression methods were used for calibration and prediction. These include partial least squares regression (PLSR), least absolute shrinkage and selection operator regression (Lasso), and Gaussian process regression (GPR). The best prediction results were obtained for Ca, K, Mg and Fe. The coefficients of determination obtained for other nutrients were smaller. This is due to much lower concentrations in the case of Mn, while the low number of lines and very weak intensities are the reason for the deviation of N and P. Soil parameters that are not directly related to one element, such as pH, could also be predicted. Lasso and GPR yielded slightly better results than PLSR. Additionally, several methods of data pretreatment were investigated.

Determination of Ca addition to the wheat flour by using laser-induced breakdown spectroscopy (LIBS)

2016 ◽  
Vol 242 (10) ◽  
pp. 1685-1692 ◽  
Author(s):  
Gonca Bilge ◽  
Banu Sezer ◽  
Kemal Efe Eseller ◽  
Halil Berberoğlu ◽  
Hamit Köksel ◽  
...  
Keyword(s):  
Wheat Flour ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Ca Addition ◽  
Laser Induced Breakdown

Quantitative determination of calcium, magnesium, and zinc in fingernails by laser-induced breakdown spectroscopy

Talanta ◽  
2013 ◽  
Vol 117 ◽  
pp. 55-59 ◽  
Author(s):  
David A. Rusak ◽  
Ann E. Zeleniak ◽  
Jillian L. Obuhosky ◽  
Scott M. Holdren ◽  
Craig A. Noldy
Keyword(s):  
Quantitative Determination ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Calcium Magnesium

Fast determination of calcium concentration in the internal tissues of a single seed using laser-induced breakdown spectroscopy

2016 ◽  
Vol 8 (37) ◽  
pp. 6705-6710 ◽  
Author(s):  
Pengcheng Han ◽  
Daming Dong ◽  
Xiaofan Du ◽  
Leizi Jiao ◽  
Xiande Zhao
Keyword(s):  
High Precision ◽  
Calcium Concentration ◽  
Seed Vigor ◽  
Laser Induced Breakdown Spectroscopy ◽  
Fast Determination ◽  
Breakdown Spectroscopy ◽  
Single Seed ◽  
Small Influence ◽  
Laser Induced Breakdown

Laser-induced breakdown spectroscopy was used for the fast determination of calcium concentration in the internal tissues of a single seed. Compared with conventional methods, LIBS had obvious advantages, such as a little analysis spot, little ablation, high precision, and small influence on the seed vigor.

Determination of Carbon Content in Steel Using Laser-Induced Breakdown Spectroscopy

1992 ◽  
Vol 46 (9) ◽  
pp. 1382-1387 ◽  
Author(s):  
J. A. Aguilera ◽  
C. Aragón ◽  
J. Campos
Keyword(s):  
Carbon Content ◽  
Matrix Effects ◽  
Sample Surface ◽  
Nitrogen Atmosphere ◽  
Laser Induced Breakdown Spectroscopy ◽  
Time Resolved ◽  
Breakdown Spectroscopy ◽  
Use Of Time ◽  
Laser Induced Breakdown

Laser-induced breakdown spectroscopy has been used to determine carbon content in steel. The plasma was formed by focusing a Nd:YAG laser on the sample surface. With the use of time-resolved spectroscopy and generation of the plasma in nitrogen atmosphere, a precision of 1.6% and a detection limit of 65 ppm have been obtained. These values are similar to those of other accurate conventional techniques. Matrix effects for the studied steels are reduced to a small slope difference between the calibration curves for stainless and nonstainless steels.

Laser-induced breakdown spectroscopy (LIBS) technique for the determination of the chemical composition of complex inorganic materials

2014 ◽  
Author(s):  
Łukasz Łazarek ◽  
Arkadiusz J. Antończak ◽  
Michał R. Wójcik ◽  
Paweł E. Kozioł ◽  
Bogusz Stępak ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Inorganic Materials ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown
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