44418 2019 2020 eng 19 815 postprint 1 2020-02-06 2020-02-06 -- Soil Nutrient Detection for Precision Agriculture Using Handheld Laser-Induced Breakdown Spectroscopy (LIBS) and Multivariate Regression Methods (PLSR, Lasso and GPR) 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. Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe 10.25932/publishup-44418 urn:nbn:de:kobv:517-opus4-444183 1866-8372 Sensors 20 (2020) 2, 418 DOI: 10.3390/s20020418 418 <a href="http://publishup.uni-potsdam.de/44417">Bibliographieeintrag der Originalveröffentlichung/Quelle</a> false false Creative Commons - Namensnennung, 4.0 International Alexander Erler Daniel Riebe Toralf Beitz Hans-Gerd Löhmannsröben Robin Gebbers Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe 815 eng uncontrolled LIBS eng uncontrolled lasso eng uncontrolled PLS regression eng uncontrolled gaussian processes eng uncontrolled soil eng uncontrolled precision agriculture eng uncontrolled nutrients Ingenieurwissenschaften und zugeordnete Tätigkeiten open_access Institut für Chemie Referiert Open Access Universität Potsdam https://publishup.uni-potsdam.de/opus4-ubp/files/44418/pmnr815.pdf