Technical and economic viability of manual harvesting

Detalhes bibliográficos
Autor(a) principal: Faria, Rafael de Oliveira
Data de Publicação: 2020
Outros Autores: Silva, Fábio Moreira da, Ferraz, Gabriel Araújo e Silva, Herrera, Miguel Angel Diaz, Barbosa, Brenon Diennevan Souza, Alonso, Diego José Carvalho, Soares, Daniel Veiga
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/46813
Resumo: Precision coffee growing is a concept that implies the use of precision agriculture techniques in coffee plantations. For the coffee growing, the precision electronic resources coupled to the harvesters are very scarce. Thereby, the harvest of coffee plantations that compose the grid sampling for generation of thematic maps can be performed manually. The aim of the present study was to generate a linear regression model to estimate the time required to harvest, estimate the labor costs to harvest manually the georeferenced sample points for generation of coffee yield maps. The study was performed in a coffee area of 56 hectares using two sampling points per hectare, totaling 112 points, being evaluated four coffee plants for each point. The manual harvest of the points was performed by four rural workers with experience in the coffee harvest. Afterwards, the collected volume was measured by a graduated container and the times were obtained by the digital stopwatch. Based on the data obtained in the field, a linear correlation model was established between the harvest time of each sampling point and the yield of the point, whose R² value was 78.27, cost was R$ 8.92 per point. These results are relevant for estimating the amount of labor force required to generate manually harvest yield maps according to the producer’s coffee yield estimate, contributing to the closure of the precision coffee growing cycle.
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spelling Technical and economic viability of manual harvestingPrecision agricultureCrop mappingField efficiencyCostsColheita manual - ViabilidadeColheita manual - CustosAgricultura de precisãoCultivo - MapeamentoEficiência de campoPrecision coffee growing is a concept that implies the use of precision agriculture techniques in coffee plantations. For the coffee growing, the precision electronic resources coupled to the harvesters are very scarce. Thereby, the harvest of coffee plantations that compose the grid sampling for generation of thematic maps can be performed manually. The aim of the present study was to generate a linear regression model to estimate the time required to harvest, estimate the labor costs to harvest manually the georeferenced sample points for generation of coffee yield maps. The study was performed in a coffee area of 56 hectares using two sampling points per hectare, totaling 112 points, being evaluated four coffee plants for each point. The manual harvest of the points was performed by four rural workers with experience in the coffee harvest. Afterwards, the collected volume was measured by a graduated container and the times were obtained by the digital stopwatch. Based on the data obtained in the field, a linear correlation model was established between the harvest time of each sampling point and the yield of the point, whose R² value was 78.27, cost was R$ 8.92 per point. These results are relevant for estimating the amount of labor force required to generate manually harvest yield maps according to the producer’s coffee yield estimate, contributing to the closure of the precision coffee growing cycle.Universidade Federal de Lavras2021-07-23T18:42:38Z2021-07-23T18:42:38Z2020-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFARIA, R. de O. et al. Technical and economic viability of manual harvesting coffee yield maps. Coffee Science, Lavras, v. 15, e151674, 2020. DOI: 10.25186/.v15i.1674.http://repositorio.ufla.br/jspui/handle/1/46813Coffee Sciencereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessFaria, Rafael de OliveiraSilva, Fábio Moreira daFerraz, Gabriel Araújo e SilvaHerrera, Miguel Angel DiazBarbosa, Brenon Diennevan SouzaAlonso, Diego José CarvalhoSoares, Daniel Veigaeng2021-07-23T18:43:22Zoai:localhost:1/46813Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-07-23T18:43:22Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Technical and economic viability of manual harvesting
title Technical and economic viability of manual harvesting
spellingShingle Technical and economic viability of manual harvesting
Faria, Rafael de Oliveira
Precision agriculture
Crop mapping
Field efficiency
Costs
Colheita manual - Viabilidade
Colheita manual - Custos
Agricultura de precisão
Cultivo - Mapeamento
Eficiência de campo
title_short Technical and economic viability of manual harvesting
title_full Technical and economic viability of manual harvesting
title_fullStr Technical and economic viability of manual harvesting
title_full_unstemmed Technical and economic viability of manual harvesting
title_sort Technical and economic viability of manual harvesting
author Faria, Rafael de Oliveira
author_facet Faria, Rafael de Oliveira
Silva, Fábio Moreira da
Ferraz, Gabriel Araújo e Silva
Herrera, Miguel Angel Diaz
Barbosa, Brenon Diennevan Souza
Alonso, Diego José Carvalho
Soares, Daniel Veiga
author_role author
author2 Silva, Fábio Moreira da
Ferraz, Gabriel Araújo e Silva
Herrera, Miguel Angel Diaz
Barbosa, Brenon Diennevan Souza
Alonso, Diego José Carvalho
Soares, Daniel Veiga
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Faria, Rafael de Oliveira
Silva, Fábio Moreira da
Ferraz, Gabriel Araújo e Silva
Herrera, Miguel Angel Diaz
Barbosa, Brenon Diennevan Souza
Alonso, Diego José Carvalho
Soares, Daniel Veiga
dc.subject.por.fl_str_mv Precision agriculture
Crop mapping
Field efficiency
Costs
Colheita manual - Viabilidade
Colheita manual - Custos
Agricultura de precisão
Cultivo - Mapeamento
Eficiência de campo
topic Precision agriculture
Crop mapping
Field efficiency
Costs
Colheita manual - Viabilidade
Colheita manual - Custos
Agricultura de precisão
Cultivo - Mapeamento
Eficiência de campo
description Precision coffee growing is a concept that implies the use of precision agriculture techniques in coffee plantations. For the coffee growing, the precision electronic resources coupled to the harvesters are very scarce. Thereby, the harvest of coffee plantations that compose the grid sampling for generation of thematic maps can be performed manually. The aim of the present study was to generate a linear regression model to estimate the time required to harvest, estimate the labor costs to harvest manually the georeferenced sample points for generation of coffee yield maps. The study was performed in a coffee area of 56 hectares using two sampling points per hectare, totaling 112 points, being evaluated four coffee plants for each point. The manual harvest of the points was performed by four rural workers with experience in the coffee harvest. Afterwards, the collected volume was measured by a graduated container and the times were obtained by the digital stopwatch. Based on the data obtained in the field, a linear correlation model was established between the harvest time of each sampling point and the yield of the point, whose R² value was 78.27, cost was R$ 8.92 per point. These results are relevant for estimating the amount of labor force required to generate manually harvest yield maps according to the producer’s coffee yield estimate, contributing to the closure of the precision coffee growing cycle.
publishDate 2020
dc.date.none.fl_str_mv 2020-07
2021-07-23T18:42:38Z
2021-07-23T18:42:38Z
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 FARIA, R. de O. et al. Technical and economic viability of manual harvesting coffee yield maps. Coffee Science, Lavras, v. 15, e151674, 2020. DOI: 10.25186/.v15i.1674.
http://repositorio.ufla.br/jspui/handle/1/46813
identifier_str_mv FARIA, R. de O. et al. Technical and economic viability of manual harvesting coffee yield maps. Coffee Science, Lavras, v. 15, e151674, 2020. DOI: 10.25186/.v15i.1674.
url http://repositorio.ufla.br/jspui/handle/1/46813
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv 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 Universidade Federal de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv Coffee Science
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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