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12 March 2019 Comparison of chemometrics method on K detection in soil using laser induced breakdown spectroscopy
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Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 110230Z (2019) https://doi.org/10.1117/12.2521029
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China
Abstract
Potassium detection in the soil is of significant importance for agricultural industry. In this paper, chemometrics methods of artificial neural networks (ANN) and partial least squares (PLS) were comparatively used to detect K in the soil with laser induced breakdown spectroscopy (LIBS). In total, 12 certified reference soils and 17 simulated soil samples with the K concentration of 0.1~3.3% were prepared. LIBS spectra at the wavelength of 723.62~808.24 nm were collected, and then analyzed with ANN and PLS method. The PLS model presented the result of R2 val=0.92 and RMSEV=0.26, the ANN model presented the result of R2 val=0.82 and RMSEV=0.40. ANN model showed under-fitting and the PLS model performed a better RPD than that of ANN. This demonstrated that the linear PLS model is capable to determinate K concentration in the soil using LIBS.
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Chengxu Lü, Xunpeng Jiang, Yanwei Yuan, Kang Niu, Yannan Qi, and Junning Zhang "Comparison of chemometrics method on K detection in soil using laser induced breakdown spectroscopy", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110230Z (12 March 2019); https://doi.org/10.1117/12.2521029
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