Management zones in coffee cultivation

Detalhes bibliográficos
Autor(a) principal: Jacintho,João L.
Data de Publicação: 2017
Outros Autores: Ferraz,Gabriel A. e S., Silva,Fabio M. da, Santos,Sthéfany A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200094
Resumo: ABSTRACT This study aimed to apply precision agriculture techniques in coffee production, using correlation analysis in the definition of management zones. This work was carried out in a 22-ha area of coffee (Coffea arabica L.), cv. ‘Topázio MG 1190’, which was sampled on a regular grid, using a topographic GPS, totaling 64 georeferenced samples (on average, 2.9 points per ha). Descriptive analysis was used in the data, followed by Pearson’s correlation analysis at 0.05 significance between soil chemical attributes, agronomic characteristics of the plants and altitude. It was possible to verify the correlation of soil chemical attributes, agronomic characteristics of the plants and altitude with coffee yield. Altitude was the variable most correlated with coffee yield through correlation analysis. Therefore, it was chosen as the best variable to define management zones and thematic maps capable to support coffee farmers. Three maps were generated to characterize the area in two, three and four management zones. There was a direct influence on mean yield.
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spelling Management zones in coffee cultivationCoffea arabica L.precision agricultureyieldthematic mappingABSTRACT This study aimed to apply precision agriculture techniques in coffee production, using correlation analysis in the definition of management zones. This work was carried out in a 22-ha area of coffee (Coffea arabica L.), cv. ‘Topázio MG 1190’, which was sampled on a regular grid, using a topographic GPS, totaling 64 georeferenced samples (on average, 2.9 points per ha). Descriptive analysis was used in the data, followed by Pearson’s correlation analysis at 0.05 significance between soil chemical attributes, agronomic characteristics of the plants and altitude. It was possible to verify the correlation of soil chemical attributes, agronomic characteristics of the plants and altitude with coffee yield. Altitude was the variable most correlated with coffee yield through correlation analysis. Therefore, it was chosen as the best variable to define management zones and thematic maps capable to support coffee farmers. Three maps were generated to characterize the area in two, three and four management zones. There was a direct influence on mean yield.Departamento de Engenharia Agrícola - UFCG2017-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200094Revista Brasileira de Engenharia Agrícola e Ambiental v.21 n.2 2017reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v21n2p94-99info:eu-repo/semantics/openAccessJacintho,João L.Ferraz,Gabriel A. e S.Silva,Fabio M. daSantos,Sthéfany A.eng2017-02-13T00:00:00Zoai:scielo:S1415-43662017000200094Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2017-02-13T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Management zones in coffee cultivation
title Management zones in coffee cultivation
spellingShingle Management zones in coffee cultivation
Jacintho,João L.
Coffea arabica L.
precision agriculture
yield
thematic mapping
title_short Management zones in coffee cultivation
title_full Management zones in coffee cultivation
title_fullStr Management zones in coffee cultivation
title_full_unstemmed Management zones in coffee cultivation
title_sort Management zones in coffee cultivation
author Jacintho,João L.
author_facet Jacintho,João L.
Ferraz,Gabriel A. e S.
Silva,Fabio M. da
Santos,Sthéfany A.
author_role author
author2 Ferraz,Gabriel A. e S.
Silva,Fabio M. da
Santos,Sthéfany A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Jacintho,João L.
Ferraz,Gabriel A. e S.
Silva,Fabio M. da
Santos,Sthéfany A.
dc.subject.por.fl_str_mv Coffea arabica L.
precision agriculture
yield
thematic mapping
topic Coffea arabica L.
precision agriculture
yield
thematic mapping
description ABSTRACT This study aimed to apply precision agriculture techniques in coffee production, using correlation analysis in the definition of management zones. This work was carried out in a 22-ha area of coffee (Coffea arabica L.), cv. ‘Topázio MG 1190’, which was sampled on a regular grid, using a topographic GPS, totaling 64 georeferenced samples (on average, 2.9 points per ha). Descriptive analysis was used in the data, followed by Pearson’s correlation analysis at 0.05 significance between soil chemical attributes, agronomic characteristics of the plants and altitude. It was possible to verify the correlation of soil chemical attributes, agronomic characteristics of the plants and altitude with coffee yield. Altitude was the variable most correlated with coffee yield through correlation analysis. Therefore, it was chosen as the best variable to define management zones and thematic maps capable to support coffee farmers. Three maps were generated to characterize the area in two, three and four management zones. There was a direct influence on mean yield.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-01
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v21n2p94-99
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dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.21 n.2 2017
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