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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: |
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001 2135039
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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 : 6 | |
| 2. |  | GEBLER, L.; LONGO, D. R.; MOREIRA, G. C.; BAZZI, C. L.; SCHENATTO, K. Appleshow: sistema de informação geográfica (SIG) de baixo custo para geração de mapas para a cultura da macieira. In: ENCONTRO NACIONAL SOBRE FRUTICULTURA DE CLIMA TEMPERADO, 16., 2019, Fraiburgo, SC. Anais...Levando conhecimento e tecnologia para a fruticultura. Vol II - Resumos. Fraiburgo, SC: Epagri, 23 a 25 jul. 2019. p. 134. XVI ENFRUTE 2019| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 3. | | LONGO, D. R.; BAZZI, C. L.; MICHELON, G. K.; SCHENATTO, K.; GEBLER, L. Zonas de manejo aplicadas na definição de locais propícios a produção de maçãs em relação a qualidade dos frutos. In: Congresso Brasileiro de Engenharia Agrícola, 44., 2015, São Paulo, SP. Anais...São Paulo, SP: CONBEA, 2015.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 4. | | BAZZI, L. C.; MARTINS, R. M.; GEBLER, L.; SOUZA, G. E.; SCHENATTO, K.; SOBJAK, R.; HACHISUCA, A. M. M. Yield mapping in fruit farming. In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 15., 2022, Minnesota, USA. Anais... Minnesota: ISPA, 26 a 29 june 2022.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 5. | | BAZZI, L. C.; SILVA, V. F.; GEBLER, L.; SANTOS, S. S. R.; SOUZA, G. E; SCHENATTO, K.; SOBJAK, R.; HACHISUCA, A. M. M. Fruit fly electronic monitoring system. In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 15., 2022, Minnesota, USA. Anais... Minnesota: ISPA, 26 a 29 june 2022.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 6. | | BAZZI, C. L.; MARTINS, M. R.; CORDEIRO, B. E.; GEBLER, L.; SOUZA, E. G. de; SCHENATTO, K.; PAULA FILHO, P. L. de; SOBJAK, R. Yield map generation of perennial crops for fresh consumption. Precision Agriculture, online, set. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| Registros recuperados : 6 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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