Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture

Detalhes bibliográficos
Autor(a) principal: Silva, Henrique Gabriel da
Data de Publicação: 2022
Outros Autores: Marques, Maycon Luis, Ciacci, Lucio Flávio, Oliveira, Alisson Souza de, Marques, Rosângela Francisca de Paula Vitor, Rocha, Marcelo Henrique Fernandes de Faria, Rodrigues, Luciano Santos, Freitas, Aurivan Soares de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/34997
Resumo: Precision agriculture is an available option for cost reduction in coffee cultivation, increasing the efficiency of fertilization, increasing profitability. In this sense, the objective of this unique work was to evaluate the distribution and chemical attributes of the soil, the production of fertilizer maps in the coffee crop, in addition to soil evaluation, the evaluation of spatial crop production and the application between fertility and the production application. The 4 years of prediction experiment at Fazenda Bela Vista, with 4 years of age experiment of Coffee Arabica 2.4, Mundo Novo 376 variety, with 3, planted in an age space of 3.5 x 1 m, totaling 2,857 plants /there is. For that, a sampling grid of 35 m x 35 m was used, totaling 24 sampling points, where 24 generated soil samples were collected, under the georeferenced canopy projection, for composite fertility analysis. The organization of the dependence of pH, M.O, Ca, Mg, V, P, K and C and, as super Simple Phosphate, Potassium Chloride, Urea and Limestone, which were presented through semivariogram. The spatial use of Kriging allowed the elaboration of maps, allowing to observe the variability and carry out the management in a localized and precise way. It could be seen that the difference in chemical attributes in the common and conventional techniques of precision agriculture, in the same way is each of the differences to be applied.
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spelling Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee CultureAnálisis espacial de los atributos químicos del suelo y generación de mapas de aplicación de fertilizantes y corrección en el Cultivo del CaféAnálise espacial dos atributos químicos do solo e geração de mapas de aplicação de fertilizantes e corretivos na Cultura do CaféFertilidade do SoloAgricultura de PrecisãoMapas de aplicação.Fertilidad del sueloAgricultura de precisiónMapas de aplicaciones.Soil fertilityPrecision agricultureApplication maps.Precision agriculture is an available option for cost reduction in coffee cultivation, increasing the efficiency of fertilization, increasing profitability. In this sense, the objective of this unique work was to evaluate the distribution and chemical attributes of the soil, the production of fertilizer maps in the coffee crop, in addition to soil evaluation, the evaluation of spatial crop production and the application between fertility and the production application. The 4 years of prediction experiment at Fazenda Bela Vista, with 4 years of age experiment of Coffee Arabica 2.4, Mundo Novo 376 variety, with 3, planted in an age space of 3.5 x 1 m, totaling 2,857 plants /there is. For that, a sampling grid of 35 m x 35 m was used, totaling 24 sampling points, where 24 generated soil samples were collected, under the georeferenced canopy projection, for composite fertility analysis. The organization of the dependence of pH, M.O, Ca, Mg, V, P, K and C and, as super Simple Phosphate, Potassium Chloride, Urea and Limestone, which were presented through semivariogram. The spatial use of Kriging allowed the elaboration of maps, allowing to observe the variability and carry out the management in a localized and precise way. It could be seen that the difference in chemical attributes in the common and conventional techniques of precision agriculture, in the same way is each of the differences to be applied.La agricultura de precisión es una de las opciones disponibles para reducir costos en el cultivo del café, mejorando la eficiencia de la fertilización y aumentando la productividad. En este sentido, el objetivo de este trabajo fue evaluar la distribución espacial de los atributos químicos del suelo y la generación de mapas de aplicación de fertilizantes y enmiendas del suelo en diferentes dosis en el cultivo del café, además de estimar la producción y la correlación entre la fecundidad y la producción. El experimento fue realizado en la Fazenda Bela Vista, en Três Corações, sur de Minas Gerais, en un área de 2,4 ha de Café Arábica, variedad Mundo Novo 376/4, 4 años, sembrado a distancia de 3,5 x 1 m, totalizando 2.857 plantas/ha. Para ello, se generó una grilla de muestreo de 35 m x 35 m, totalizando 24 puntos de muestreo, donde se recolectaron 24 muestras compuestas georreferenciadas de suelo, bajo la proyección de la copa del cafeto, para análisis de fertilidad. Se identificó y describió la organización de la dependencia espacial de pH, M.O, Ca, Mg, V%, P, K y CTC, así como las recomendaciones de Fosfato Súper Simple, Cloruro de Potasio, Urea y Caliza, las cuales se ajustaron mediante de semivariograma. El uso de Kriging posibilitó la elaboración de mapas, permitiendo observar la variabilidad espacial y realizar la gestión de forma localizada y precisa. Se puede apreciar que la diferencia de atributos químicos en las recomendaciones de agricultura convencional y de precisión, de igual manera, son comprensibles las diferencias a aplicar en cada una de las técnicas.A agricultura de precisão é uma das opções disponíveis para redução de custo no cultivo do café, melhorando a eficiência das adubações, aumentando a produtividade. Neste sentido, objetivou-se neste trabalho avaliar a distribuição espacial dos atributos químicos do solo e a geração de mapas de aplicação de fertilizantes e corretivos do solo a taxas variadas na cultura do café, além de estimar a produção da cultura e a correlação entre a fertilidade e a produção. O experimento foi conduzido na Fazenda Bela Vista, no município de Três Corações, Sul de Minas Gerais em uma área de 2,4 ha de Café Arábica, variedade Mundo Novo 376/4, com 4 anos de idade, plantada no espaçamento de 3,5 x 1 m, totalizando de 2.857 plantas/ha. Para tanto, gerou-se um grid amostral de 35 m x 35 m totalizando 24 pontos amostrais, onde foram coletadas 24 amostras de solo compostas georreferenciadas, sob a projeção da copa do cafeeiro, para análise da fertilidade. Identificou-se e descreveu-se a organização da dependência espacial do pH, M.O, Ca, Mg, V%, P, K e CTC e, as recomendações de Super Fosfato Simples, Cloreto de Potássio, Ureia e Calcário, que foram ajustadas por meio de semivariograma. O emprego da Krigagem possibilitou a elaboração dos mapas, permitindo observar a variabilidade espacial e realizar o manejo de forma localizada e precisa. Pôde-se perceber que a diferença dos atributos químicos nas recomendações convencional e da agricultura de precisão, da mesma forma é compreensível as diferenças a serem aplicadas em cada uma das técnicas.Research, Society and Development2022-09-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3499710.33448/rsd-v11i12.34997Research, Society and Development; Vol. 11 No. 12; e524111234997Research, Society and Development; Vol. 11 Núm. 12; e524111234997Research, Society and Development; v. 11 n. 12; e5241112349972525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/34997/29341Copyright (c) 2022 Henrique Gabriel da Silva; Maycon Luis Marques; Lucio Flávio Ciacci; Alisson Souza de Oliveira; Rosângela Francisca de Paula Vitor Marques; Marcelo Henrique Fernandes de Faria Rocha; Luciano Santos Rodrigues; Aurivan Soares de Freitashttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Henrique Gabriel daMarques, Maycon Luis Ciacci, Lucio Flávio Oliveira, Alisson Souza deMarques, Rosângela Francisca de Paula Vitor Rocha, Marcelo Henrique Fernandes de Faria Rodrigues, Luciano Santos Freitas, Aurivan Soares de 2022-09-26T11:56:08Zoai:ojs.pkp.sfu.ca:article/34997Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:50:04.540281Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
Análisis espacial de los atributos químicos del suelo y generación de mapas de aplicación de fertilizantes y corrección en el Cultivo del Café
Análise espacial dos atributos químicos do solo e geração de mapas de aplicação de fertilizantes e corretivos na Cultura do Café
title Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
spellingShingle Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
Silva, Henrique Gabriel da
Fertilidade do Solo
Agricultura de Precisão
Mapas de aplicação.
Fertilidad del suelo
Agricultura de precisión
Mapas de aplicaciones.
Soil fertility
Precision agriculture
Application maps.
title_short Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
title_full Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
title_fullStr Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
title_full_unstemmed Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
title_sort Spatial analysis of soil chemical attributes and generation of fertilizer and correction application maps in Coffee Culture
author Silva, Henrique Gabriel da
author_facet Silva, Henrique Gabriel da
Marques, Maycon Luis
Ciacci, Lucio Flávio
Oliveira, Alisson Souza de
Marques, Rosângela Francisca de Paula Vitor
Rocha, Marcelo Henrique Fernandes de Faria
Rodrigues, Luciano Santos
Freitas, Aurivan Soares de
author_role author
author2 Marques, Maycon Luis
Ciacci, Lucio Flávio
Oliveira, Alisson Souza de
Marques, Rosângela Francisca de Paula Vitor
Rocha, Marcelo Henrique Fernandes de Faria
Rodrigues, Luciano Santos
Freitas, Aurivan Soares de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Henrique Gabriel da
Marques, Maycon Luis
Ciacci, Lucio Flávio
Oliveira, Alisson Souza de
Marques, Rosângela Francisca de Paula Vitor
Rocha, Marcelo Henrique Fernandes de Faria
Rodrigues, Luciano Santos
Freitas, Aurivan Soares de
dc.subject.por.fl_str_mv Fertilidade do Solo
Agricultura de Precisão
Mapas de aplicação.
Fertilidad del suelo
Agricultura de precisión
Mapas de aplicaciones.
Soil fertility
Precision agriculture
Application maps.
topic Fertilidade do Solo
Agricultura de Precisão
Mapas de aplicação.
Fertilidad del suelo
Agricultura de precisión
Mapas de aplicaciones.
Soil fertility
Precision agriculture
Application maps.
description Precision agriculture is an available option for cost reduction in coffee cultivation, increasing the efficiency of fertilization, increasing profitability. In this sense, the objective of this unique work was to evaluate the distribution and chemical attributes of the soil, the production of fertilizer maps in the coffee crop, in addition to soil evaluation, the evaluation of spatial crop production and the application between fertility and the production application. The 4 years of prediction experiment at Fazenda Bela Vista, with 4 years of age experiment of Coffee Arabica 2.4, Mundo Novo 376 variety, with 3, planted in an age space of 3.5 x 1 m, totaling 2,857 plants /there is. For that, a sampling grid of 35 m x 35 m was used, totaling 24 sampling points, where 24 generated soil samples were collected, under the georeferenced canopy projection, for composite fertility analysis. The organization of the dependence of pH, M.O, Ca, Mg, V, P, K and C and, as super Simple Phosphate, Potassium Chloride, Urea and Limestone, which were presented through semivariogram. The spatial use of Kriging allowed the elaboration of maps, allowing to observe the variability and carry out the management in a localized and precise way. It could be seen that the difference in chemical attributes in the common and conventional techniques of precision agriculture, in the same way is each of the differences to be applied.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/34997
10.33448/rsd-v11i12.34997
url https://rsdjournal.org/index.php/rsd/article/view/34997
identifier_str_mv 10.33448/rsd-v11i12.34997
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/34997/29341
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 12; e524111234997
Research, Society and Development; Vol. 11 Núm. 12; e524111234997
Research, Society and Development; v. 11 n. 12; e524111234997
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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