Soil sensing in precision agriculture by laser-induced breakdown spectroscopy and multivariate regression methods.

Alexander Erler; Pia Brinkmann; Toralf Beitz; Hans-Gerd Löhmannsröben

doi:10.1364/ES.2021.EW4G.5

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
OSA Technical Digest (Optica Publishing Group, 2021),
paper EW4G.5
•https://doi.org/10.1364/ES.2021.EW4G.5

Soil sensing in precision agriculture by laser-induced breakdown spectroscopy and multivariate regression methods.

Alexander Erler, Pia Brinkmann, Toralf Beitz, and Hans-Gerd Löhmannsröben

Optics and Photonics for Sensing the Environment 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-90-3

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Optical Sensing in Marine Environment and Agriculture (EW4G)

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A. Erler, P. Brinkmann, T. Beitz, and H. Löhmannsröben, "Soil sensing in precision agriculture by laser-induced breakdown spectroscopy and multivariate regression methods.," in OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES), S. Buckley, F. Vanier, S. Shi, K. Walker, I. Coddington, S. Paine, K. Lok Chan, W. Moses, S. Qian, P. Pellegrino, F. Vollmer, G. , J. Jágerská, R. Menzies, L. Emmenegger, and J. Westberg, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper EW4G.5.

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Abstract

Samples of agricultural soil were analyzed by LIBS and evaluated by multivariate methods. The multivariate models provided reliable predictions of total and plant-available nutrient contents and the soil parameters humus content, pH and texture.

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