Using indicator kriging for evaluating soil fertility indicators
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808129329448615936 |