Use of VIS-NIRS for land management classification with a support vector machine and prediction of soil organic carbon and other soil properties

Use of VIS-NIRS for land management classification with a support vector machine and prediction of soil organic carbon and other soil properties

The objective of this research was to investigate the effects of a long-term experiment on soil spectral properties and to develop prediction models of these properties (soil organic carbon (SOC), N, pH, Hh, P2O5, K2O, Ca, Mg, K, and Na content) from texturally homogeneous samples (loamy sand). To t...

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Autores principales: Debaene,Guillaume, Pikuła,Dorota, Niedźwiecki,Jacek
Lenguaje:English
Publicado: Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2014
Materias:
Manure
near-infrared spectroscopy
nitrogen fertilizer
partial least square regression
soil organic carbon
Support Vector Machine
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202014000100003
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