A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels

Descripción del Articulo

Nitrogen 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 mak...

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Detalles Bibliográficos
Autores: Sanchez-Mora, K, Zuniga-Gutierrez, MA, Mayhua-Lopez, E
Formato: objeto de conferencia
Fecha de Publicación:2016
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/1011
Enlace del recurso:https://hdl.handle.net/20.500.12390/1011
https://doi.org/10.1109/ANDESCON.2016.7836247
Nivel de acceso:acceso abierto
Materia:fertilisers
agriculture
electrical conductivity
https://purl.org/pe-repo/ocde/ford#4.01.01
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spelling Publicationrp02874600rp02875600rp02873600Sanchez-Mora, KZuniga-Gutierrez, MAMayhua-Lopez, E2024-05-30T23:13:38Z2024-05-30T23:13:38Z2016https://hdl.handle.net/20.500.12390/1011https://doi.org/10.1109/ANDESCON.2016.7836247401925100060Nitrogen 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.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengIEEEinfo:eu-repo/semantics/openAccessfertilisersagriculture-1electrical conductivity-1https://purl.org/pe-repo/ocde/ford#4.01.01-1A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernelsinfo:eu-repo/semantics/conferenceObjectreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/1011oai:repositorio.concytec.gob.pe:20.500.12390/10112024-05-30 15:52:15.881http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e37bbfd8-7dd2-4946-b0b4-5bdd8084047b"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2016</PublicationDate> <DOI>https://doi.org/10.1109/ANDESCON.2016.7836247</DOI> <ISI-Number>401925100060</ISI-Number> <Authors> <Author> <DisplayName>Sanchez-Mora, K</DisplayName> <Person id="rp02874" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Zuniga-Gutierrez, MA</DisplayName> <Person id="rp02875" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Mayhua-Lopez, E</DisplayName> <Person id="rp02873" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>IEEE</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>fertilisers</Keyword> <Keyword>agriculture</Keyword> <Keyword>electrical conductivity</Keyword> <Abstract>Nitrogen 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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
dc.title.none.fl_str_mv A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
title A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
spellingShingle A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
Sanchez-Mora, K
fertilisers
agriculture
electrical conductivity
https://purl.org/pe-repo/ocde/ford#4.01.01
title_short A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
title_full A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
title_fullStr A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
title_full_unstemmed A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
title_sort A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
author Sanchez-Mora, K
author_facet Sanchez-Mora, K
Zuniga-Gutierrez, MA
Mayhua-Lopez, E
author_role author
author2 Zuniga-Gutierrez, MA
Mayhua-Lopez, E
author2_role author
author
dc.contributor.author.fl_str_mv Sanchez-Mora, K
Zuniga-Gutierrez, MA
Mayhua-Lopez, E
dc.subject.none.fl_str_mv fertilisers
topic fertilisers
agriculture
electrical conductivity
https://purl.org/pe-repo/ocde/ford#4.01.01
dc.subject.es_PE.fl_str_mv agriculture
electrical conductivity
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.01.01
description Nitrogen 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.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/1011
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1109/ANDESCON.2016.7836247
dc.identifier.isi.none.fl_str_mv 401925100060
url https://hdl.handle.net/20.500.12390/1011
https://doi.org/10.1109/ANDESCON.2016.7836247
identifier_str_mv 401925100060
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1844883041703428096
score 13.39501
A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

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