Yield map generation of perennial crops for fresh consumption.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1135039 |
Resumo: | Yield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantifcation of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial proftability. Therefore, a system was developed to quantify and relate the quality obtained in the classifcation line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the diferent collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identifcation of the efciency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector. |
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Yield map generation of perennial crops for fresh consumption.AgDataBoxPerennialYield mapsManual harvestApplesYield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantifcation of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial proftability. Therefore, a system was developed to quantify and relate the quality obtained in the classifcation line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the diferent collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identifcation of the efciency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector.CLAUDIO LEONES BAZZI, Claudio Leones Bazzi bazzi@utfpr.edu.br 1 Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; MICHEL ROSIN MARTINS, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; BRUNO EDUARDO CORDEIRO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; LUCIANO GEBLER, CNPUV; EDUARDO GODOY DE SOUZA, PGEAGRI, Technological and Exact Sciences Center, Western Paraná State University (UNIOESTE), Cascavel, Paraná, Brazil; KELYN SCHENATTO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; PEDRO LUIZ DE PAULA FILHO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; RICARDO SOBJAK, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil.BAZZI, C. L.MARTINS, M. R.CORDEIRO, B. E.GEBLER, L.SOUZA, E. G. deSCHENATTO, K.PAULA FILHO, P. L. deSOBJAK, R.2021-10-05T17:00:25Z2021-10-05T17:00:25Z2021-10-052021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePrecision Agriculture, online, set. 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/113503910.1007/s11119-021-09855-2enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-10-05T17:00:35Zoai:www.alice.cnptia.embrapa.br:doc/1135039Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-10-05T17:00:35falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-10-05T17:00:35Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Yield map generation of perennial crops for fresh consumption. |
title |
Yield map generation of perennial crops for fresh consumption. |
spellingShingle |
Yield map generation of perennial crops for fresh consumption. BAZZI, C. L. AgDataBox Perennial Yield maps Manual harvest Apples |
title_short |
Yield map generation of perennial crops for fresh consumption. |
title_full |
Yield map generation of perennial crops for fresh consumption. |
title_fullStr |
Yield map generation of perennial crops for fresh consumption. |
title_full_unstemmed |
Yield map generation of perennial crops for fresh consumption. |
title_sort |
Yield map generation of perennial crops for fresh consumption. |
author |
BAZZI, C. L. |
author_facet |
BAZZI, C. L. MARTINS, M. R. CORDEIRO, B. E. GEBLER, L. SOUZA, E. G. de SCHENATTO, K. PAULA FILHO, P. L. de SOBJAK, R. |
author_role |
author |
author2 |
MARTINS, M. R. CORDEIRO, B. E. GEBLER, L. SOUZA, E. G. de SCHENATTO, K. PAULA FILHO, P. L. de SOBJAK, R. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
CLAUDIO LEONES BAZZI, Claudio Leones Bazzi bazzi@utfpr.edu.br 1 Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; MICHEL ROSIN MARTINS, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; BRUNO EDUARDO CORDEIRO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; LUCIANO GEBLER, CNPUV; EDUARDO GODOY DE SOUZA, PGEAGRI, Technological and Exact Sciences Center, Western Paraná State University (UNIOESTE), Cascavel, Paraná, Brazil; KELYN SCHENATTO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; PEDRO LUIZ DE PAULA FILHO, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil; RICARDO SOBJAK, Computer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira, Paraná, Brazil. |
dc.contributor.author.fl_str_mv |
BAZZI, C. L. MARTINS, M. R. CORDEIRO, B. E. GEBLER, L. SOUZA, E. G. de SCHENATTO, K. PAULA FILHO, P. L. de SOBJAK, R. |
dc.subject.por.fl_str_mv |
AgDataBox Perennial Yield maps Manual harvest Apples |
topic |
AgDataBox Perennial Yield maps Manual harvest Apples |
description |
Yield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantifcation of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial proftability. Therefore, a system was developed to quantify and relate the quality obtained in the classifcation line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the diferent collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identifcation of the efciency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-05T17:00:25Z 2021-10-05T17:00:25Z 2021-10-05 2021 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Precision Agriculture, online, set. 2021. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1135039 10.1007/s11119-021-09855-2 |
identifier_str_mv |
Precision Agriculture, online, set. 2021. 10.1007/s11119-021-09855-2 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1135039 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503510346170368 |