Abstract:In precision agriculture, the estimation of soil parameters via sensors and the creation of nutrient maps are a prerequisite for farmers to take targeted measures such as spatially resolved fertilization. In this work, 68 soil samples uniformly distributed over a field near Bonn are investigated using laser-induced breakdown spectroscopy (LIBS). These investigations include the determination of the total contents of macro- and micronutrients as well as further soil parameters such as soil pH, soil organic matt… Show more
“…This model achieved high accuracy, indicated by an R 2 of 0.92. On the other hand, Erler et al 82 applied LIBS (wavelength 278−769 nm) for SOM measurement using pelleted soil samples. Principal component analysis (PCA) was applied for feature selection, and SVM regression was used for analysis, with 10-fold cross-validation and split data sets for validation.…”
“…This model achieved high accuracy, indicated by an R 2 of 0.92. On the other hand, Erler et al 82 applied LIBS (wavelength 278−769 nm) for SOM measurement using pelleted soil samples. Principal component analysis (PCA) was applied for feature selection, and SVM regression was used for analysis, with 10-fold cross-validation and split data sets for validation.…”
“…It was used only for multivariate regression analysis of soil nutrients. 19,20 This should be the first report on BO based on GPR in context with LIBS.…”
Bayesian optimization based on Gaussian process regression was applied to optimize the conditions for the highly sensitive detection of surface contamination by laser-induced breakdown spectroscopy (LIBS). Three experimental parameters for...
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