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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
05/10/2021 |
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Data da última atualização: |
05/10/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BAZZI, C. L.; MARTINS, M. R.; CORDEIRO, B. E.; GEBLER, L.; SOUZA, E. G. de; SCHENATTO, K.; PAULA FILHO, P. L. de; SOBJAK, R. |
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Afiliação: |
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. |
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Título: |
Yield map generation of perennial crops for fresh consumption. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Precision Agriculture, online, set. 2021. |
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DOI: |
10.1007/s11119-021-09855-2 |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosYield 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 ... Mostrar Tudo |
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Palavras-Chave: |
AgDataBox; Manual harvest; Perennial; Yield maps. |
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Thesaurus Nal: |
Apples. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226675/1/Bazzi2021.pdf
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Marc: |
LEADER 02264naa a2200277 a 4500
001 2135039
005 2021-10-05
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1007/s11119-021-09855-2$2DOI
100 1 $aBAZZI, C. L.
245 $aYield map generation of perennial crops for fresh consumption.$h[electronic resource]
260 $c2021
520 $aYield 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.
650 $aApples
653 $aAgDataBox
653 $aManual harvest
653 $aPerennial
653 $aYield maps
700 1 $aMARTINS, M. R.
700 1 $aCORDEIRO, B. E.
700 1 $aGEBLER, L.
700 1 $aSOUZA, E. G. de
700 1 $aSCHENATTO, K.
700 1 $aPAULA FILHO, P. L. de
700 1 $aSOBJAK, R.
773 $tPrecision Agriculture, online, set. 2021.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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| Registros recuperados : 7.581 | |
| 121. |  | ALMEIDA, N. A.; SILVA, A. M. F.; TALAMINI, V.; LIMA, N. R. S.; OLIVEIRA, I. R. de; SOUSA, R. C. de. Qualidade sanitária de sementes de girassol produzidas no Estado do Mato Grosso. In: REUNIÃO NACIONAL DE PESQUISA DE GIRASSOL, 19.; SIMPÓSIO NACIONAL SOBRE A CULTURA DO GIRASSOL, 7., 2011, Aracaju. Anais... Londrina: Embrapa Soja; Aracaju: Embrapa Tabuleiros Costeiros, 2011. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 123. | | NETTO, D. A.; ANDRADE, R. V.; OLIVEIRA, A. C.; AZEVEDO, J. T. de; BORBA, C. S.; ANDREOLI, C. Qualidade de sementes de milheto (Pennisetum glaucum (L.) R.Br. de diferentes procedências. Informativo Abrates, Brasília, v. 7, n. 3, p. 48-53, 1997.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 124. | | HENNING, A. A.; FRANÇA-NETO, J. B.; KRZYZANOWSKI, F. C.; COSTA, N. P.; INTROVINI, G. Qualidade da semente de soja armazenada em embalagens plasticas impermeaveis em diferentes ambientes, na regiao de Balsas, MA. Informativo ABRATES, Londrina, v.11, n.2, p.69, set. 2001. Numero especial, ref. 048. Edicao de Resumos do XII Congresso Brasileiro de Sementes, 17 a 20 de Setembro de 2001, Curitiba, PR.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Soja. |
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| 125. | | JORGE, M. H. A.; URBANETZ, C.; SALIS, S. M. de; DIAS, F. R. T.; GALVANI, F. Protocolo simples de colheita e beneficiamento de sementes de bocaiuva para produção de mudas. In: CONGRESSO BRASILEIRO DE MACAÚBA, 1., 2013, Patos de Minas, MG. Consolidação da cadeia produtiva: anais. Brasília, DF: MAPA, 2013.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Pantanal. |
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| 131. | | FREIRE, J. M. As sementes. In: ADDO, M. T. V. N.; CARVALHO, R. E. de (Org.). Caderno da restauração florestal. Pindorama: Centro de Estudos Agroflorestais Pindorama, 2023.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agrobiologia. |
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| 132. | | SEMENTES germinadas de dendê. Manaus: Embrapa Amazônia Ocidental, 2007. 1 folder.| Tipo: Folder/Folheto/Cartilha |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 135. | | VARGAS, D. P.; DUTRA, L. F.; FORMOSO, R. S.; COSTA, R. R. da; CORADIN, J. H.; TAVARES, V. da S.; PEREIRA, A. da S.; CASTRO, C. M. Sementes sintéticas: Tecnologia para viabilizar a conservação in vitro da Batata. Revista Batata Show, v. 38, p. 41-44, 2014.| Tipo: Artigo de Divulgação na Mídia |
| Biblioteca(s): Embrapa Clima Temperado. |
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| Registros recuperados : 7.581 | |
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