Sensoriamento proximal para estimativa da acidez potencial do solo

Detalhes bibliográficos
Ano de defesa: 2023
Autor(a) principal: Nicolodi, Nidgia Maria
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
dARK ID: ark:/26339/001300000152t
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agricultura de Precisão
Colégio Politécnico da UFSM
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufsm.br/handle/1/30492
Resumo: Soil acidity reduces crop productivity and the application of lime is capable of inhibiting its effects. However, the necessary limestone must be quantified taking into account the heterogeneity of the soil, to reduce costs and increase liming efficiency. As a result, precision agriculture tools, such as the use of sensors, can optimize and improve data collection, providing an alternative to the standard method, which is costly, time-consuming and destructive. Therefore, the objective of this work was to validate the Sb sensor for in situ pH measurements and propose a method for estimating potential soil acidity using the pH sensor and the TSM solution instantly. To achieve this, the pH sensor was initially evaluated on a laboratory bench and subsequently in the field. For laboratory measurements, processed and fresh samples were used. In the field, the data generated by the sensor were compared to the traditional method adopted in precision agriculture to generate pH maps. After validating the sensor to determine active soil acidity, evaluations began to estimate potential acidity. To this end, tests were carried out in the laboratory using Santa Maria buffer solution (TSM), added in different ways to processed soil, with evaluations of the variables concentration and time. To determine active acidity, it was verified that it is essential to process data and humidity in the sample during the measurement. In the evaluations to estimate the potential acidity, promising results were obtained, as it was observed that just 15s of contact between the sensor and the sample are enough to obtain data in agreement with the standard method, dispensing with rest and agitation. It was verified that the addition of the TSM solution 3:1 (distilled water:TSM solution ratio) measured at pH 7.5, ensured that the soil exerted its buffering power, as the method presented an error of less than 5% compared to the values of the SMP index. of the same samples. Thus, the studies in this work made it possible to validate the Sb sensor for generating accurate pH maps and the pH sensor was able to estimate the potential acidity of the soil, together with the TSM solution, at bench level.
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spelling Sensoriamento proximal para estimativa da acidez potencial do soloProximal sensing to estimate soil potential acidityCalagemEletrodo de SbAgricultura de precisãoLimingSb electrodePrecision agricultureCNPQ::CIENCIAS AGRARIAS::AGRONOMIASoil acidity reduces crop productivity and the application of lime is capable of inhibiting its effects. However, the necessary limestone must be quantified taking into account the heterogeneity of the soil, to reduce costs and increase liming efficiency. As a result, precision agriculture tools, such as the use of sensors, can optimize and improve data collection, providing an alternative to the standard method, which is costly, time-consuming and destructive. Therefore, the objective of this work was to validate the Sb sensor for in situ pH measurements and propose a method for estimating potential soil acidity using the pH sensor and the TSM solution instantly. To achieve this, the pH sensor was initially evaluated on a laboratory bench and subsequently in the field. For laboratory measurements, processed and fresh samples were used. In the field, the data generated by the sensor were compared to the traditional method adopted in precision agriculture to generate pH maps. After validating the sensor to determine active soil acidity, evaluations began to estimate potential acidity. To this end, tests were carried out in the laboratory using Santa Maria buffer solution (TSM), added in different ways to processed soil, with evaluations of the variables concentration and time. To determine active acidity, it was verified that it is essential to process data and humidity in the sample during the measurement. In the evaluations to estimate the potential acidity, promising results were obtained, as it was observed that just 15s of contact between the sensor and the sample are enough to obtain data in agreement with the standard method, dispensing with rest and agitation. It was verified that the addition of the TSM solution 3:1 (distilled water:TSM solution ratio) measured at pH 7.5, ensured that the soil exerted its buffering power, as the method presented an error of less than 5% compared to the values of the SMP index. of the same samples. Thus, the studies in this work made it possible to validate the Sb sensor for generating accurate pH maps and the pH sensor was able to estimate the potential acidity of the soil, together with the TSM solution, at bench level.A acidez do solo reduz a produtividade das culturas e a aplicação de calcário é capaz de inibir seus efeitos. No entanto, o calcário necessário deve ser quantificado levando em consideração a heterogeneidade do solo, para redução de custos e aumento da eficiência da calagem. Com isso, ferramentas da agricultura de precisão, como o uso de sensores, podem otimizar e aprimorar a obtenção de dados sendo uma alternativa ao método padrão, que é oneroso, demorado e destrutivo. Portanto, o objetivo deste trabalho foi validar o sensor de Sb para medidas de pH in situ e propor um método de estimativa da acidez potencial do solo por meio do sensor de pH e da solução TSM de maneira instantânea. Para isso, inicialmente, foi avaliado o sensor de pH em bancada de laboratório e posteriormente a campo. Para medidas em laboratório, foram utilizadas amostras processadas e in natura. A campo os dados gerados pelo sensor foram comparados ao método tradicional adotado na agricultura de precisão para geração de mapas de pH. Após a validação do sensor para determinação da acidez ativa do solo, foram iniciadas as avaliações para estimativa da acidez potencial. Para isso, em laboratório foram realizados testes com uso da solução tampão Santa Maria (TSM), adicionada de diversas formas em solo processado, com avaliações das variáveis concentração e tempo. Para determinação da acidez ativa, foi verificado que é imprescindível o tratamento de dados e umidade na amostra durante a medida. Nas avaliações para estimar a acidez potencial, foram obtidos resultados promissores, pois foi observado que apenas 15s de contato entre o sensor e a amostra são suficientes para obtenção de dados concordantes com o método padrão, dispensando repouso e agitação. Foi verificado que a adição da solução TSM 3:1 (proporção água destilada:solução TSM) aferida em pH 7,5, garantiu que o solo exercesse seu poder tampão, pois o método apresentou erro inferior a 5% comparados aos valores do índice SMP das mesmas amostras. Dessa forma, os estudos desse trabalho permitiram validar o sensor de Sb para geração de mapas de pH precisos e o sensor de pH foi capaz de estimar a acidez potencial do solo, junto a solução TSM, em nível de bancada.Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em Agricultura de PrecisãoColégio Politécnico da UFSMMartins, Juliano Dalcinhttp://lattes.cnpq.br/5624403392916420Cruz, Sandra Meinen daBottega, Eduardo LeonelBueno, Jean Michel MouraNicolodi, Nidgia Maria2023-11-13T19:56:12Z2023-11-13T19:56:12Z2023-08-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/30492ark:/26339/001300000152tporAttribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2023-11-13T19:56:12Zoai:repositorio.ufsm.br:1/30492Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/PUBhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.bropendoar:2023-11-13T19:56:12Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Sensoriamento proximal para estimativa da acidez potencial do solo
Proximal sensing to estimate soil potential acidity
title Sensoriamento proximal para estimativa da acidez potencial do solo
spellingShingle Sensoriamento proximal para estimativa da acidez potencial do solo
Nicolodi, Nidgia Maria
Calagem
Eletrodo de Sb
Agricultura de precisão
Liming
Sb electrode
Precision agriculture
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Sensoriamento proximal para estimativa da acidez potencial do solo
title_full Sensoriamento proximal para estimativa da acidez potencial do solo
title_fullStr Sensoriamento proximal para estimativa da acidez potencial do solo
title_full_unstemmed Sensoriamento proximal para estimativa da acidez potencial do solo
title_sort Sensoriamento proximal para estimativa da acidez potencial do solo
author Nicolodi, Nidgia Maria
author_facet Nicolodi, Nidgia Maria
author_role author
dc.contributor.none.fl_str_mv Martins, Juliano Dalcin
http://lattes.cnpq.br/5624403392916420
Cruz, Sandra Meinen da
Bottega, Eduardo Leonel
Bueno, Jean Michel Moura
dc.contributor.author.fl_str_mv Nicolodi, Nidgia Maria
dc.subject.por.fl_str_mv Calagem
Eletrodo de Sb
Agricultura de precisão
Liming
Sb electrode
Precision agriculture
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Calagem
Eletrodo de Sb
Agricultura de precisão
Liming
Sb electrode
Precision agriculture
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Soil acidity reduces crop productivity and the application of lime is capable of inhibiting its effects. However, the necessary limestone must be quantified taking into account the heterogeneity of the soil, to reduce costs and increase liming efficiency. As a result, precision agriculture tools, such as the use of sensors, can optimize and improve data collection, providing an alternative to the standard method, which is costly, time-consuming and destructive. Therefore, the objective of this work was to validate the Sb sensor for in situ pH measurements and propose a method for estimating potential soil acidity using the pH sensor and the TSM solution instantly. To achieve this, the pH sensor was initially evaluated on a laboratory bench and subsequently in the field. For laboratory measurements, processed and fresh samples were used. In the field, the data generated by the sensor were compared to the traditional method adopted in precision agriculture to generate pH maps. After validating the sensor to determine active soil acidity, evaluations began to estimate potential acidity. To this end, tests were carried out in the laboratory using Santa Maria buffer solution (TSM), added in different ways to processed soil, with evaluations of the variables concentration and time. To determine active acidity, it was verified that it is essential to process data and humidity in the sample during the measurement. In the evaluations to estimate the potential acidity, promising results were obtained, as it was observed that just 15s of contact between the sensor and the sample are enough to obtain data in agreement with the standard method, dispensing with rest and agitation. It was verified that the addition of the TSM solution 3:1 (distilled water:TSM solution ratio) measured at pH 7.5, ensured that the soil exerted its buffering power, as the method presented an error of less than 5% compared to the values of the SMP index. of the same samples. Thus, the studies in this work made it possible to validate the Sb sensor for generating accurate pH maps and the pH sensor was able to estimate the potential acidity of the soil, together with the TSM solution, at bench level.
publishDate 2023
dc.date.none.fl_str_mv 2023-11-13T19:56:12Z
2023-11-13T19:56:12Z
2023-08-18
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dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/30492
dc.identifier.dark.fl_str_mv ark:/26339/001300000152t
url http://repositorio.ufsm.br/handle/1/30492
identifier_str_mv ark:/26339/001300000152t
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language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agricultura de Precisão
Colégio Politécnico da UFSM
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agricultura de Precisão
Colégio Politécnico da UFSM
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (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
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repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.br
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