Using indicator kriging for evaluating soil fertility indicators

Detalhes bibliográficos
Autor(a) principal: Viegas de Araujo Motomiya, Anamari
Data de Publicação: 2006
Outros Autores: Cora, Jose Eduardo, Pereira, Gener Tadeu
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/195855
Resumo: The objective of this study was to identify site-specific management zones by means of chemical soil fertility indicators on sugarcane-cultivated Latosols (Oxisols), using indicator kriging, aiming an optimized use of precision agriculture techniques. The study was conducted in a 90 ha section of a larger field (1.900 ha) near Jaboticabal, Sao Paulo State - Brazil (21 degrees 15'S and 48 degrees 18'W). A 50 m regular grid was drawn on the experimental area (300 by 3.000 m). Soil samples were obtained at each 50 m grid point (420 points) from the top 0.2 m. Organic matter, P, K and V values of the soil samples were determined. The soil data were coded as 0 or 1 when higher or lower than the threshold value established for each variable, respectively. Using the results of geostatistical analysis for the coded data set and indicator kriging, counter maps of probability of meeting the critical threshold value for each of the individual soil attributes and their combinations were drawn. It was possible to identify areas of different soil fertility levels by this method.
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spelling Using indicator kriging for evaluating soil fertility indicatorsgeostatisticsspatial variabilityprecision agricultureThe objective of this study was to identify site-specific management zones by means of chemical soil fertility indicators on sugarcane-cultivated Latosols (Oxisols), using indicator kriging, aiming an optimized use of precision agriculture techniques. The study was conducted in a 90 ha section of a larger field (1.900 ha) near Jaboticabal, Sao Paulo State - Brazil (21 degrees 15'S and 48 degrees 18'W). A 50 m regular grid was drawn on the experimental area (300 by 3.000 m). Soil samples were obtained at each 50 m grid point (420 points) from the top 0.2 m. Organic matter, P, K and V values of the soil samples were determined. The soil data were coded as 0 or 1 when higher or lower than the threshold value established for each variable, respectively. Using the results of geostatistical analysis for the coded data set and indicator kriging, counter maps of probability of meeting the critical threshold value for each of the individual soil attributes and their combinations were drawn. It was possible to identify areas of different soil fertility levels by this method.Univ Estadual Mato Grosso Sul, BR-79540000 Cassilandia, MS, BrazilUNESP, Fac Ciencias Agr & Vet, Dept Solos & Adubos, BR-14884900 Jaboticabal, SP, BrazilUNESP, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Sao Paulo, BrazilUNESP, Fac Ciencias Agr & Vet, Dept Solos & Adubos, BR-14884900 Jaboticabal, SP, BrazilUNESP, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Sao Paulo, BrazilSoc Brasileira De Ciencia Do SoloUniversidade Estadual de Mato Grosso do Sul (UEMS)Universidade Estadual Paulista (Unesp)Viegas de Araujo Motomiya, AnamariCora, Jose EduardoPereira, Gener Tadeu2020-12-10T18:05:34Z2020-12-10T18:05:34Z2006-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article485-496Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 30, n. 3, p. 485-496, 2006.0100-0683http://hdl.handle.net/11449/195855WOS:000239083100010Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira De Ciencia Do Soloinfo:eu-repo/semantics/openAccess2024-06-07T14:24:06Zoai:repositorio.unesp.br:11449/195855Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:31:03.981251Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Using indicator kriging for evaluating soil fertility indicators
title Using indicator kriging for evaluating soil fertility indicators
spellingShingle Using indicator kriging for evaluating soil fertility indicators
Viegas de Araujo Motomiya, Anamari
geostatistics
spatial variability
precision agriculture
title_short Using indicator kriging for evaluating soil fertility indicators
title_full Using indicator kriging for evaluating soil fertility indicators
title_fullStr Using indicator kriging for evaluating soil fertility indicators
title_full_unstemmed Using indicator kriging for evaluating soil fertility indicators
title_sort Using indicator kriging for evaluating soil fertility indicators
author Viegas de Araujo Motomiya, Anamari
author_facet Viegas de Araujo Motomiya, Anamari
Cora, Jose Eduardo
Pereira, Gener Tadeu
author_role author
author2 Cora, Jose Eduardo
Pereira, Gener Tadeu
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Mato Grosso do Sul (UEMS)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Viegas de Araujo Motomiya, Anamari
Cora, Jose Eduardo
Pereira, Gener Tadeu
dc.subject.por.fl_str_mv geostatistics
spatial variability
precision agriculture
topic geostatistics
spatial variability
precision agriculture
description The objective of this study was to identify site-specific management zones by means of chemical soil fertility indicators on sugarcane-cultivated Latosols (Oxisols), using indicator kriging, aiming an optimized use of precision agriculture techniques. The study was conducted in a 90 ha section of a larger field (1.900 ha) near Jaboticabal, Sao Paulo State - Brazil (21 degrees 15'S and 48 degrees 18'W). A 50 m regular grid was drawn on the experimental area (300 by 3.000 m). Soil samples were obtained at each 50 m grid point (420 points) from the top 0.2 m. Organic matter, P, K and V values of the soil samples were determined. The soil data were coded as 0 or 1 when higher or lower than the threshold value established for each variable, respectively. Using the results of geostatistical analysis for the coded data set and indicator kriging, counter maps of probability of meeting the critical threshold value for each of the individual soil attributes and their combinations were drawn. It was possible to identify areas of different soil fertility levels by this method.
publishDate 2006
dc.date.none.fl_str_mv 2006-05-01
2020-12-10T18:05:34Z
2020-12-10T18:05:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 30, n. 3, p. 485-496, 2006.
0100-0683
http://hdl.handle.net/11449/195855
WOS:000239083100010
identifier_str_mv Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 30, n. 3, p. 485-496, 2006.
0100-0683
WOS:000239083100010
url http://hdl.handle.net/11449/195855
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Brasileira De Ciencia Do Solo
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 485-496
dc.publisher.none.fl_str_mv Soc Brasileira De Ciencia Do Solo
publisher.none.fl_str_mv Soc Brasileira De Ciencia Do Solo
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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