Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft

Detalhes bibliográficos
Autor(a) principal: Santana, Lucas Santos
Data de Publicação: 2021
Outros Autores: Ferraz, Gabriel Araújo e Silva, Cunha, João Paulo Barreto, Santana, Mozarte Santos, Faria, Rafael de Oliveira, Marin, Diego Bedin, Rossi, Giuseppe, Conti, Leonardo, Vieri, Marco, Sarri, Daniele
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/48973
Resumo: Mechanized operations on terrain slopes can still lead to considerable errors in the alignment and distribution of plants. Knowing slope interference in semi-mechanized planting quality can contribute to precision improvement in decision making, mainly in regions with high slope. This study evaluates the quality of semi-mechanized coffee planting in different land slopes using a remotely piloted aircraft (RPA) and statistical process control (SPC). In a commercial coffee plantation, aerial images were collected by a remotely piloted aircraft (RPA) and subsequently transformed into a digital elevation model (DEM) and a slope map. Slope data were subjected to variance analysis and statistical process control (SPC). Dependent variables analyzed were variations in distance between planting lines and between plants in line. The distribution of plants on all the slopes evaluated was below expected; the most impacted was the slope between 20–25%, implementing 7.8% fewer plants than projected. Inferences about the spacing between plants in the planting row showed that in slopes between 30–40%, the spacing was 0.53 m and between 0 and 15% was 0.55 m. This denotes the compensation of the speed of the operation on different slopes. The spacing between the planting lines had unusual variations on steep slopes. The SCP quality graphics are of lower quality in operations between 30–40%, as they have an average spacing of 3.65 m and discrepant points in the graphics. Spacing variations were observed in all slopes as shown in the SCP charts, and possible causes and implications for future management were discussed, contributing to improvements in the culture installation stage.
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spelling Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraftRemote sensingPlanting qualityUAVPhotogrammetryUASUnmanned aerial vehicle (UAV)Mechanized operations on terrain slopes can still lead to considerable errors in the alignment and distribution of plants. Knowing slope interference in semi-mechanized planting quality can contribute to precision improvement in decision making, mainly in regions with high slope. This study evaluates the quality of semi-mechanized coffee planting in different land slopes using a remotely piloted aircraft (RPA) and statistical process control (SPC). In a commercial coffee plantation, aerial images were collected by a remotely piloted aircraft (RPA) and subsequently transformed into a digital elevation model (DEM) and a slope map. Slope data were subjected to variance analysis and statistical process control (SPC). Dependent variables analyzed were variations in distance between planting lines and between plants in line. The distribution of plants on all the slopes evaluated was below expected; the most impacted was the slope between 20–25%, implementing 7.8% fewer plants than projected. Inferences about the spacing between plants in the planting row showed that in slopes between 30–40%, the spacing was 0.53 m and between 0 and 15% was 0.55 m. This denotes the compensation of the speed of the operation on different slopes. The spacing between the planting lines had unusual variations on steep slopes. The SCP quality graphics are of lower quality in operations between 30–40%, as they have an average spacing of 3.65 m and discrepant points in the graphics. Spacing variations were observed in all slopes as shown in the SCP charts, and possible causes and implications for future management were discussed, contributing to improvements in the culture installation stage.Multidisciplinary Digital Publishing Institute (MDPI)2022-01-22T02:11:48Z2022-01-22T02:11:48Z2021-06-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSANTANA, L. S. et al. Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft. Agronomy, [S.l.], v. 11, n. 6, p. 1-18, June 2021. DOI: 10.3390/agronomy11061224.http://repositorio.ufla.br/jspui/handle/1/48973Agronomyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSantana, Lucas SantosFerraz, Gabriel Araújo e SilvaCunha, João Paulo BarretoSantana, Mozarte SantosFaria, Rafael de OliveiraMarin, Diego BedinRossi, GiuseppeConti, LeonardoVieri, MarcoSarri, Danieleeng2022-01-22T02:11:48Zoai:localhost:1/48973Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-01-22T02:11:48Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
title Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
spellingShingle Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
Santana, Lucas Santos
Remote sensing
Planting quality
UAV
Photogrammetry
UAS
Unmanned aerial vehicle (UAV)
title_short Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
title_full Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
title_fullStr Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
title_full_unstemmed Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
title_sort Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft
author Santana, Lucas Santos
author_facet Santana, Lucas Santos
Ferraz, Gabriel Araújo e Silva
Cunha, João Paulo Barreto
Santana, Mozarte Santos
Faria, Rafael de Oliveira
Marin, Diego Bedin
Rossi, Giuseppe
Conti, Leonardo
Vieri, Marco
Sarri, Daniele
author_role author
author2 Ferraz, Gabriel Araújo e Silva
Cunha, João Paulo Barreto
Santana, Mozarte Santos
Faria, Rafael de Oliveira
Marin, Diego Bedin
Rossi, Giuseppe
Conti, Leonardo
Vieri, Marco
Sarri, Daniele
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santana, Lucas Santos
Ferraz, Gabriel Araújo e Silva
Cunha, João Paulo Barreto
Santana, Mozarte Santos
Faria, Rafael de Oliveira
Marin, Diego Bedin
Rossi, Giuseppe
Conti, Leonardo
Vieri, Marco
Sarri, Daniele
dc.subject.por.fl_str_mv Remote sensing
Planting quality
UAV
Photogrammetry
UAS
Unmanned aerial vehicle (UAV)
topic Remote sensing
Planting quality
UAV
Photogrammetry
UAS
Unmanned aerial vehicle (UAV)
description Mechanized operations on terrain slopes can still lead to considerable errors in the alignment and distribution of plants. Knowing slope interference in semi-mechanized planting quality can contribute to precision improvement in decision making, mainly in regions with high slope. This study evaluates the quality of semi-mechanized coffee planting in different land slopes using a remotely piloted aircraft (RPA) and statistical process control (SPC). In a commercial coffee plantation, aerial images were collected by a remotely piloted aircraft (RPA) and subsequently transformed into a digital elevation model (DEM) and a slope map. Slope data were subjected to variance analysis and statistical process control (SPC). Dependent variables analyzed were variations in distance between planting lines and between plants in line. The distribution of plants on all the slopes evaluated was below expected; the most impacted was the slope between 20–25%, implementing 7.8% fewer plants than projected. Inferences about the spacing between plants in the planting row showed that in slopes between 30–40%, the spacing was 0.53 m and between 0 and 15% was 0.55 m. This denotes the compensation of the speed of the operation on different slopes. The spacing between the planting lines had unusual variations on steep slopes. The SCP quality graphics are of lower quality in operations between 30–40%, as they have an average spacing of 3.65 m and discrepant points in the graphics. Spacing variations were observed in all slopes as shown in the SCP charts, and possible causes and implications for future management were discussed, contributing to improvements in the culture installation stage.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-16
2022-01-22T02:11:48Z
2022-01-22T02:11:48Z
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 SANTANA, L. S. et al. Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft. Agronomy, [S.l.], v. 11, n. 6, p. 1-18, June 2021. DOI: 10.3390/agronomy11061224.
http://repositorio.ufla.br/jspui/handle/1/48973
identifier_str_mv SANTANA, L. S. et al. Monitoring errors of semi-mechanized coffee planting by remotely piloted aircraft. Agronomy, [S.l.], v. 11, n. 6, p. 1-18, June 2021. DOI: 10.3390/agronomy11061224.
url http://repositorio.ufla.br/jspui/handle/1/48973
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://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 Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv Agronomy
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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