Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo

Detalhes bibliográficos
Ano de defesa: 2017
Autor(a) principal: Schons, Francis Luan lattes
Orientador(a): Pes, Luciano Zucuni lattes
Banca de defesa: Amaral, Lúcio de Paula lattes, Wendling, Ademir lattes
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Colégio Politécnico da UFSM
Programa de Pós-Graduação: Programa de Pós-Graduação em Agricultura de Precisão
Departamento: Tecnologia em Agricultura de Precisão
País: Brasil
Palavras-chave em Português:
Agricultura de precisão
Variabilidade espacial
Coeficiente de desvio relativo
Palavras-chave em Inglês:
Precision agriculture
Spatial variability
Relative deviation coefficient
Área do conhecimento CNPq:
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
Link de acesso: http://repositorio.ufsm.br/handle/1/11763
Resumo: Soil fertility managed by precision agriculture has georeferenced sampling grid as its main data collection method. Although technology is well-accepted , there is a need to improve how techniques are applied in different environments and production systems. The main objective of this study was to analyze different sampling grids in order to identify soil variability of phosphorus and potassium. The research was carried out in the city of Victor Graeff, Rio Grande do Sul, in an area of 19.3 hectares. Three grid samples with regular squares were generated: 71,71x 71,71m (0.5 ha),71,71x141,42 m (1 ha) and 141,42x141,42 m (2 ha), a total of 36, 18 and 9 sampling points, respectively. A descriptive analysis of the data and an evaluation of the relative standard deviation (RSD) was performed, which showed that for both phosphorus and potassium, as the sampling grid size increases and the distance between the points, the dissimilarity of maps increases as well, while evaluating reference sampling grid (71,71x 71,71 m). According to the study, it is recommended to use thicker sampling grid, with a larger number of samples to generate thematic maps with a suitable representation of the spatial variation of phosphorus and potassium. Keywords: Precision Agriculture. Spatial Variability. Relative Deviation Coefficient.
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spelling 2017-09-27T13:22:27Z2017-09-27T13:22:27Z2017-02-19http://repositorio.ufsm.br/handle/1/11763Soil fertility managed by precision agriculture has georeferenced sampling grid as its main data collection method. Although technology is well-accepted , there is a need to improve how techniques are applied in different environments and production systems. The main objective of this study was to analyze different sampling grids in order to identify soil variability of phosphorus and potassium. The research was carried out in the city of Victor Graeff, Rio Grande do Sul, in an area of 19.3 hectares. Three grid samples with regular squares were generated: 71,71x 71,71m (0.5 ha),71,71x141,42 m (1 ha) and 141,42x141,42 m (2 ha), a total of 36, 18 and 9 sampling points, respectively. A descriptive analysis of the data and an evaluation of the relative standard deviation (RSD) was performed, which showed that for both phosphorus and potassium, as the sampling grid size increases and the distance between the points, the dissimilarity of maps increases as well, while evaluating reference sampling grid (71,71x 71,71 m). According to the study, it is recommended to use thicker sampling grid, with a larger number of samples to generate thematic maps with a suitable representation of the spatial variation of phosphorus and potassium. Keywords: Precision Agriculture. Spatial Variability. Relative Deviation Coefficient.A fertilidade do solo manejada pela agricultura de precisão tem como uma das principais formas de coletas de dados a amostragem do solo georreferenciada. Embora exista grande aceitação da tecnologia, há necessidade de melhorar as técnicas, em diferentes ambientes e sistemas de produção. O objetivo principal do trabalho foi de analisar diferentes grids amostrais para identificação da variabilidade do fósforo e do potássio no solo. O estudo foi realizado no município de Victor Graeff, Rio Grande do Sul, em uma área de 19,3 hectares. Foram gerados três grids amostrais, com quadrículas regulares, cujas dimensões foram, 71,71x71,71 m (0,5 ha), 71,71x141,42 m (1 ha) e 141,42x141,42 m (2 ha), totalizando 36, 18 e 9 pontos amostrais, respectivamente. Foi realizada uma análise descritiva dos dados e avaliação do coeficiente de desvio relativo (CDR), que demonstrou que tanto para o fósforo, quanto para o potássio, à medida em que se aumenta a dimensão do grid e a distância entre os pontos, eleva-se a dissimilaridade dos mapas, quando comparados com o grid de referência (71,71x71,71 m). Com base no estudo, recomenda-se a utilização de grids de amostragem mais densos, com um número maior de amostras, para gerar mapas temáticos com a representação adequada da variabilidade espacial do fósforo e do potássio.porUniversidade Federal de Santa MariaColégio Politécnico da UFSMPrograma de Pós-Graduação em Agricultura de PrecisãoUFSMBrasilTecnologia em Agricultura de PrecisãoAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAgricultura de precisãoVariabilidade espacialCoeficiente de desvio relativoPrecision agricultureSpatial variabilityRelative deviation coefficientCNPQ::CIENCIAS AGRARIAS::AGRONOMIAAnálise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no soloTechnical analysis of different sampling grid to identify the variability of phosphorus and potassium in the soilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPes, Luciano Zucunihttp://lattes.cnpq.br/2762574916868230Amaral, Lúcio de Paulahttp://lattes.cnpq.br/6612592358172016Wendling, Ademirhttp://lattes.cnpq.br/1014285483150781http://lattes.cnpq.br/0731844971357663Schons, Francis Luan50010000000960065b0aabb-e170-449a-a2d6-a7181f1faab1bd117ed2-46b9-4c7d-a9b1-ffd4e9bf00e433470aed-dfdc-4440-a1e6-7efdad394973c7160021-1cfa-4c51-a30e-11295d192c30reponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALSchons, Francis Luan.pdfSchons, Francis Luan.pdfDissertação de Mestradoapplication/pdf511719http://repositorio.ufsm.br/bitstream/1/11763/1/Schons%2c%20Francis%20Luan.pdffd7af995a92cc391cc625e356b068484MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
dc.title.alternative.eng.fl_str_mv Technical analysis of different sampling grid to identify the variability of phosphorus and potassium in the soil
title Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
spellingShingle Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
Schons, Francis Luan
Agricultura de precisão
Variabilidade espacial
Coeficiente de desvio relativo
Precision agriculture
Spatial variability
Relative deviation coefficient
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
title_full Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
title_fullStr Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
title_full_unstemmed Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
title_sort Análise técnica de diferentes grids amostrais para identificar a variabilidade de fósforo e potássio no solo
author Schons, Francis Luan
author_facet Schons, Francis Luan
author_role author
dc.contributor.advisor1.fl_str_mv Pes, Luciano Zucuni
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2762574916868230
dc.contributor.referee1.fl_str_mv Amaral, Lúcio de Paula
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/6612592358172016
dc.contributor.referee2.fl_str_mv Wendling, Ademir
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/1014285483150781
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0731844971357663
dc.contributor.author.fl_str_mv Schons, Francis Luan
contributor_str_mv Pes, Luciano Zucuni
Amaral, Lúcio de Paula
Wendling, Ademir
dc.subject.por.fl_str_mv Agricultura de precisão
Variabilidade espacial
Coeficiente de desvio relativo
topic Agricultura de precisão
Variabilidade espacial
Coeficiente de desvio relativo
Precision agriculture
Spatial variability
Relative deviation coefficient
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Precision agriculture
Spatial variability
Relative deviation coefficient
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Soil fertility managed by precision agriculture has georeferenced sampling grid as its main data collection method. Although technology is well-accepted , there is a need to improve how techniques are applied in different environments and production systems. The main objective of this study was to analyze different sampling grids in order to identify soil variability of phosphorus and potassium. The research was carried out in the city of Victor Graeff, Rio Grande do Sul, in an area of 19.3 hectares. Three grid samples with regular squares were generated: 71,71x 71,71m (0.5 ha),71,71x141,42 m (1 ha) and 141,42x141,42 m (2 ha), a total of 36, 18 and 9 sampling points, respectively. A descriptive analysis of the data and an evaluation of the relative standard deviation (RSD) was performed, which showed that for both phosphorus and potassium, as the sampling grid size increases and the distance between the points, the dissimilarity of maps increases as well, while evaluating reference sampling grid (71,71x 71,71 m). According to the study, it is recommended to use thicker sampling grid, with a larger number of samples to generate thematic maps with a suitable representation of the spatial variation of phosphorus and potassium. Keywords: Precision Agriculture. Spatial Variability. Relative Deviation Coefficient.
publishDate 2017
dc.date.accessioned.fl_str_mv 2017-09-27T13:22:27Z
dc.date.available.fl_str_mv 2017-09-27T13:22:27Z
dc.date.issued.fl_str_mv 2017-02-19
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/11763
url http://repositorio.ufsm.br/handle/1/11763
dc.language.iso.fl_str_mv por
language por
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rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Colégio Politécnico da UFSM
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Agricultura de Precisão
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Tecnologia em Agricultura de Precisão
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Colégio Politécnico da UFSM
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
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instname_str Universidade Federal de Santa Maria (UFSM)
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institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
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