A nonlinear model to estimate nitrogen level in agricultural soil using Gaussian kernels

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dc.contributor.authorSánchez Mora, Katty
dc.contributor.authorZuñiga Gutierrez, María
dc.contributor.authorMayhua López, Efraín Tito
dc.date.accessioned2019-01-29T22:19:51Z
dc.date.available2019-01-29T22:19:51Z
dc.date.issued2017
dc.description.abstractNitrogen fertilizers are commonly used to improve agricultural productivity. However, its excessive use may cause or lead to environmental problems. Therefore, technologies capable of monitoring and measure levels of nitrogen in agricultural soil in-situ and in real time are required in order to make efficient the use of fertilizers. Nitrogen levels are usually measured by direct and indirect methods. Direct methods can be conducted in-situ or in laboratory, but they are really expensive and/or little resistant to soil conditions. Otherwise, indirect methods can estimate nitrogen levels in-situ and in real time, based on the measure of other parameters, and at the expense of accuracy. This paper proposes an indirect method to estimate the nitrogen level in agricultural soil through the measurement of the levels of electrical conductivity, temperature and humidity. The proposed model uses a nonlinear estimator based on Gaussian kernels. The results after training the model with real data showed values very close to the actual measured values. © 2016 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/ANDESCON.2016.7836247es_PE
dc.identifier.isbnurn:isbn:9781509025312es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15798
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015147193&doi=10.1109%2fANDESCON.2016.7836247&partnerID=40&md5=f5602a71c588bdd547d69739d799ead6es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectAgriculturees_PE
dc.subjectCorrosiones_PE
dc.subjectFertilizerses_PE
dc.subjectGrain (agricultural product)es_PE
dc.subjectNitrogenes_PE
dc.subjectProductivityes_PE
dc.subjectSoilses_PE
dc.subjectAgricultural productivityes_PE
dc.subjectAgricultural soilses_PE
dc.subjectDirect and indirect methodses_PE
dc.subjectElectrical conductivityes_PE
dc.subjectEnvironmental problemses_PE
dc.subjectGaussian kernelses_PE
dc.subjectNonlinear estimatores_PE
dc.subjectTemperature and humiditieses_PE
dc.subjectNitrogen fertilizerses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.01es_PE
dc.titleA nonlinear model to estimate nitrogen level in agricultural soil using Gaussian kernelses_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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