FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY

Detalhes bibliográficos
Autor(a) principal: Beneduzzi,Humberto M.
Data de Publicação: 2022
Outros Autores: Souza,Eduardo G. de, Moreira,Wendel K. O., Sobjak,Ricardo, Bazzi,Claudio L., Rodrigues,Marlon
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100301
Resumo: ABSTRACT Spatial variability management of soil chemical attributes is one of the approaches to be employed in the face of the constant challenge of increasing agricultural yield to meet world demand. In this sense, precision agriculture has as one of its tools the application of inputs at varying rates, which seeks to determine the ideal amount of fertilizer at each point of the crop, contrary to the conventional recommendation approach based on average values. In this context, this work studied the fertilizer recommendation methods used in site-specific nutrient management and the calculation methodologies for N, P, and K recommendations. For this purpose, a systematic literature study (SLS), consisting of systematic literature mapping, snowballing, and systematic literature review was performed. The analyzed studies were grouped into five domains (precision agriculture, soil fertility, site-specific nutrient application, fertilizer recommendation methods, and recommendation software for site-specific nutrient application). As a result, the SLS identified 12 methods for recommending N, nine for recommending P, and six for recommending K, in addition to five computer programs for precision agriculture that perform fertilizer recommendations at varying rates.
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spelling FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDYfertilizingvariable rate applicationsite-specific managementsystematic literature reviewABSTRACT Spatial variability management of soil chemical attributes is one of the approaches to be employed in the face of the constant challenge of increasing agricultural yield to meet world demand. In this sense, precision agriculture has as one of its tools the application of inputs at varying rates, which seeks to determine the ideal amount of fertilizer at each point of the crop, contrary to the conventional recommendation approach based on average values. In this context, this work studied the fertilizer recommendation methods used in site-specific nutrient management and the calculation methodologies for N, P, and K recommendations. For this purpose, a systematic literature study (SLS), consisting of systematic literature mapping, snowballing, and systematic literature review was performed. The analyzed studies were grouped into five domains (precision agriculture, soil fertility, site-specific nutrient application, fertilizer recommendation methods, and recommendation software for site-specific nutrient application). As a result, the SLS identified 12 methods for recommending N, nine for recommending P, and six for recommending K, in addition to five computer programs for precision agriculture that perform fertilizer recommendations at varying rates.Associação Brasileira de Engenharia Agrícola2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100301Engenharia Agrícola v.42 n.1 2022reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v42n1e20210185/2022info:eu-repo/semantics/openAccessBeneduzzi,Humberto M.Souza,Eduardo G. deMoreira,Wendel K. O.Sobjak,RicardoBazzi,Claudio L.Rodrigues,Marloneng2022-02-07T00:00:00Zoai:scielo:S0100-69162022000100301Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2022-02-07T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
title FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
spellingShingle FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
Beneduzzi,Humberto M.
fertilizing
variable rate application
site-specific management
systematic literature review
title_short FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
title_full FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
title_fullStr FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
title_full_unstemmed FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
title_sort FERTILIZER RECOMMENDATION METHODS FOR PRECISION AGRICULTURE – A SYSTEMATIC LITERATURE STUDY
author Beneduzzi,Humberto M.
author_facet Beneduzzi,Humberto M.
Souza,Eduardo G. de
Moreira,Wendel K. O.
Sobjak,Ricardo
Bazzi,Claudio L.
Rodrigues,Marlon
author_role author
author2 Souza,Eduardo G. de
Moreira,Wendel K. O.
Sobjak,Ricardo
Bazzi,Claudio L.
Rodrigues,Marlon
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Beneduzzi,Humberto M.
Souza,Eduardo G. de
Moreira,Wendel K. O.
Sobjak,Ricardo
Bazzi,Claudio L.
Rodrigues,Marlon
dc.subject.por.fl_str_mv fertilizing
variable rate application
site-specific management
systematic literature review
topic fertilizing
variable rate application
site-specific management
systematic literature review
description ABSTRACT Spatial variability management of soil chemical attributes is one of the approaches to be employed in the face of the constant challenge of increasing agricultural yield to meet world demand. In this sense, precision agriculture has as one of its tools the application of inputs at varying rates, which seeks to determine the ideal amount of fertilizer at each point of the crop, contrary to the conventional recommendation approach based on average values. In this context, this work studied the fertilizer recommendation methods used in site-specific nutrient management and the calculation methodologies for N, P, and K recommendations. For this purpose, a systematic literature study (SLS), consisting of systematic literature mapping, snowballing, and systematic literature review was performed. The analyzed studies were grouped into five domains (precision agriculture, soil fertility, site-specific nutrient application, fertilizer recommendation methods, and recommendation software for site-specific nutrient application). As a result, the SLS identified 12 methods for recommending N, nine for recommending P, and six for recommending K, in addition to five computer programs for precision agriculture that perform fertilizer recommendations at varying rates.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100301
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100301
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v42n1e20210185/2022
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.42 n.1 2022
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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