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.

Twelve different types of data normalization for the proposition of classification, univariate and multivariate regression models for the direct analyses of alloys by laser-induced breakdown spectroscopy (LIBS)

2016 ◽  
Vol 31 (10) ◽  
pp. 2005-2014 ◽  
Author(s):  
Jeyne Pricylla Castro ◽  
Edenir Rodrigues Pereira-Filho
Keyword(s):  
Multivariate Regression ◽  
Regression Models ◽  
Direct Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Emission Signal ◽  
Breakdown Spectroscopy ◽  
Different Types ◽  
Laser Induced Breakdown ◽  
Signal Normalization

Emission signal normalization in LIBS for the direct analysis of metal samples aiming at the determination of 10 analytes (Al, Cr, Cu, Fe, Mn, Mo, Ni, Ti, V and Zn).

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 Detection of Rare Earth Elements in Minerals and Soils by Laser-Induced Breakdown Spectroscopy (LIBS) Using Interval PLS

Minerals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1379
Author(s):  
Nina Rethfeldt ◽  
Pia Brinkmann ◽  
Daniel Riebe ◽  
Toralf Beitz ◽  
Nicole Köllner ◽  
...  
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Matrix Effects ◽  
Principal Component ◽  
Laser Induced Breakdown Spectroscopy ◽  
Regression Methods ◽  
Breakdown Spectroscopy ◽  
Field Samples ◽  
Laser Induced Breakdown

The numerous applications of rare earth elements (REE) has lead to a growing global demand and to the search for new REE deposits. One promising technique for exploration of these deposits is laser-induced breakdown spectroscopy (LIBS). Among a number of advantages of the technique is the possibility to perform on-site measurements without sample preparation. Since the exploration of a deposit is based on the analysis of various geological compartments of the surrounding area, REE-bearing rock and soil samples were analyzed in this work. The field samples are from three European REE deposits in Sweden and Norway. The focus is on the REE cerium, lanthanum, neodymium and yttrium. Two different approaches of data analysis were used for the evaluation. The first approach is univariate regression (UVR). While this approach was successful for the analysis of synthetic REE samples, the quantitative analysis of field samples from different sites was influenced by matrix effects. Principal component analysis (PCA) can be used to determine the origin of the samples from the three deposits. The second approach is based on multivariate regression methods, in particular interval PLS (iPLS) regression. In comparison to UVR, this method is better suited for the determination of REE contents in heterogeneous field samples.

Multi-element quantitative analysis of soils by laser induced breakdown spectroscopy (LIBS) coupled with univariate and multivariate regression methods

2019 ◽  
Vol 11 (23) ◽  
pp. 3006-3013 ◽  
Author(s):  
Guangmeng Guo ◽  
Guanghui Niu ◽  
Qi Shi ◽  
Qingyu Lin ◽  
Di Tian ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Multivariate Regression ◽  
Comprehensive Assessment ◽  
Laser Induced Breakdown Spectroscopy ◽  
Regression Methods ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

A comprehensive assessment of soils was developed using laser induced breakdown spectroscopy (LIBS) coupled with univariate and multivariate regression methods.

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.

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