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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
08/09/2022 |
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Data da última atualização: |
08/09/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BAZZI, L. C.; MARTINS, R. M.; GEBLER, L.; SOUZA, G. E.; SCHENATTO, K.; SOBJAK, R.; HACHISUCA, A. M. M. |
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Afiliação: |
L. C. BAZZI, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; R. M. MARTINS, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; LUCIANO GEBLER, CNPUV; G. E. SOUZA, WESTERN PARANÁ STATE UNIVERSITY; K. SCHENATTO, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; R. SOBJAK, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; A. M. M. HACHISUCA, Western Paraná State University. |
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Título: |
Yield mapping in fruit farming. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 15., 2022, Minnesota, USA. Anais... Minnesota: ISPA, 26 a 29 june 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
Due to the importance of increasing the quantity and quality of world agricultural production, the use of technologies to assist in production processes is essential. Despite this, a timid adoption by precision agriculture (PA) technologies is verified by the Brazilian fruit producers, even though it is one of the segments that had been stood out in recent years in the country's economy. In the PA context, yield maps are rich sources of information, especially by species harvested through machines, where the measurement of volumes harvested at georeferenced points is easier, allowing the generation of yield maps. In orchards intended for fresh fruit market, it is more difficult to generate yield data/maps, since it is linked to the volume harvested manually and, more importantly, to the quality of the fruit. One factor that makes it difficult to measure yield is that the harvest is done at different times because to maintain their quality, the fruits of an area are only when they reach the stipulated maturity point. To construct a system that permits of contemplating the complexity of the manual fruit harvesting processes, this paper aims to present a system that allows the yield mapping of hand-harvested orchards. The system is comprised of hardware components (intended to obtain the location of the harvester as well as the unloading record of their harvesting device at the unloading site) and software that allows processing the data obtained by the hardware device and create a mapped environment from which fruits were harvested, allowing the construction of yield maps. In addition to the yield maps, the system allows identifying the yield level of each worker performing the harvest by the number of discharges performed and the time spent. The system has been developed in partnership between the Federal Technological University of Paraná and Embrapa Grape & Wine and has been tested in apple orchards in southern Brazil. The system is expected to positively impact the sector by enabling monitoring of the quality and quantity of fruit from the orchards and providing more appropriate management aiming at the stability of the field production. Although tested only in apple cultivation, the system is promising for other segments of fruit growing, such as the production of pears, orange, fig, among others. MenosDue to the importance of increasing the quantity and quality of world agricultural production, the use of technologies to assist in production processes is essential. Despite this, a timid adoption by precision agriculture (PA) technologies is verified by the Brazilian fruit producers, even though it is one of the segments that had been stood out in recent years in the country's economy. In the PA context, yield maps are rich sources of information, especially by species harvested through machines, where the measurement of volumes harvested at georeferenced points is easier, allowing the generation of yield maps. In orchards intended for fresh fruit market, it is more difficult to generate yield data/maps, since it is linked to the volume harvested manually and, more importantly, to the quality of the fruit. One factor that makes it difficult to measure yield is that the harvest is done at different times because to maintain their quality, the fruits of an area are only when they reach the stipulated maturity point. To construct a system that permits of contemplating the complexity of the manual fruit harvesting processes, this paper aims to present a system that allows the yield mapping of hand-harvested orchards. The system is comprised of hardware components (intended to obtain the location of the harvester as well as the unloading record of their harvesting device at the unloading site) and software that allows processing the data obtained by the hardware device and crea... Mostrar Tudo |
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Palavras-Chave: |
World agricultural production; Yield maps. |
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Thesaurus Nal: |
Orchards. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146279/1/Yield-Mapping-in-Fruit-Farming.pdf
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Marc: |
LEADER 03008nam a2200217 a 4500
001 2146279
005 2022-09-08
008 2022 bl uuuu u00u1 u #d
100 1 $aBAZZI, L. C.
245 $aYield mapping in fruit farming.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 15., 2022, Minnesota, USA. Anais... Minnesota: ISPA, 26 a 29 june 2022.$c2022
520 $aDue to the importance of increasing the quantity and quality of world agricultural production, the use of technologies to assist in production processes is essential. Despite this, a timid adoption by precision agriculture (PA) technologies is verified by the Brazilian fruit producers, even though it is one of the segments that had been stood out in recent years in the country's economy. In the PA context, yield maps are rich sources of information, especially by species harvested through machines, where the measurement of volumes harvested at georeferenced points is easier, allowing the generation of yield maps. In orchards intended for fresh fruit market, it is more difficult to generate yield data/maps, since it is linked to the volume harvested manually and, more importantly, to the quality of the fruit. One factor that makes it difficult to measure yield is that the harvest is done at different times because to maintain their quality, the fruits of an area are only when they reach the stipulated maturity point. To construct a system that permits of contemplating the complexity of the manual fruit harvesting processes, this paper aims to present a system that allows the yield mapping of hand-harvested orchards. The system is comprised of hardware components (intended to obtain the location of the harvester as well as the unloading record of their harvesting device at the unloading site) and software that allows processing the data obtained by the hardware device and create a mapped environment from which fruits were harvested, allowing the construction of yield maps. In addition to the yield maps, the system allows identifying the yield level of each worker performing the harvest by the number of discharges performed and the time spent. The system has been developed in partnership between the Federal Technological University of Paraná and Embrapa Grape & Wine and has been tested in apple orchards in southern Brazil. The system is expected to positively impact the sector by enabling monitoring of the quality and quantity of fruit from the orchards and providing more appropriate management aiming at the stability of the field production. Although tested only in apple cultivation, the system is promising for other segments of fruit growing, such as the production of pears, orange, fig, among others.
650 $aOrchards
653 $aWorld agricultural production
653 $aYield maps
700 1 $aMARTINS, R. M.
700 1 $aGEBLER, L.
700 1 $aSOUZA, G. E.
700 1 $aSCHENATTO, K.
700 1 $aSOBJAK, R.
700 1 $aHACHISUCA, A. M. M.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
06/09/2014 |
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Data da última atualização: |
25/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CARVALHO, G. C.; COELHO, E. F.; SILVA, A. dos S. A. M. da; PAMPONETI, A. J. M. |
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Afiliação: |
GIAN C. CARVALHO, UFRPE; EUGENIO FERREIRA COELHO, CNPMF; AFRÂNIO DOS S. A. M. DA SILVA; ARTHUR J. M. PAMPONETI. |
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Título: |
Trickle irrigation: effects on papaya crop. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Engenharia Agrícola, v.34, n.2, Jaboticabal, Mar./Abr. 2014. |
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ISSN: |
0100-6916 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to evaluate growth and yield of papaya cv. Sunrise solo under trickle irrigation system configurations. A random block design was used with six treatments and four replications. Treatments were: T1- a 32 L h-1 micro sprinkler; T2 - a 43 L h-1 micro sprinkler and T3 - a 60 L h-1 micro sprinkler for four plants; T4 - Drip system with four emitters per plant on one lateral line per crop row; T5 - Drip system with eight emitters per plant on two laterals line per crop row; T6 - Drip system with four emitters per plant on one lateral line distributed as pig tail. The dripper flow rate was 4 L h-1and they were apart each other 0.50 m. Crop growth variables were measured every two weeks. Production variables were evaluated during harvest. The treatment that presented superiority was irrigated by micro sprinkler system with flow rate of 43 L h-1. |
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Thesagro: |
Carica Papaya; Irrigação localizada; Mamão. |
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Thesaurus NAL: |
Microirrigation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01493naa a2200217 a 4500
001 1994377
005 2023-05-25
008 2014 bl uuuu u00u1 u #d
022 $a0100-6916
100 1 $aCARVALHO, G. C.
245 $aTrickle irrigation$beffects on papaya crop.$h[electronic resource]
260 $c2014
520 $aThe objective of this study was to evaluate growth and yield of papaya cv. Sunrise solo under trickle irrigation system configurations. A random block design was used with six treatments and four replications. Treatments were: T1- a 32 L h-1 micro sprinkler; T2 - a 43 L h-1 micro sprinkler and T3 - a 60 L h-1 micro sprinkler for four plants; T4 - Drip system with four emitters per plant on one lateral line per crop row; T5 - Drip system with eight emitters per plant on two laterals line per crop row; T6 - Drip system with four emitters per plant on one lateral line distributed as pig tail. The dripper flow rate was 4 L h-1and they were apart each other 0.50 m. Crop growth variables were measured every two weeks. Production variables were evaluated during harvest. The treatment that presented superiority was irrigated by micro sprinkler system with flow rate of 43 L h-1.
650 $aMicroirrigation
650 $aCarica Papaya
650 $aIrrigação localizada
650 $aMamão
700 1 $aCOELHO, E. F.
700 1 $aSILVA, A. dos S. A. M. da
700 1 $aPAMPONETI, A. J. M.
773 $tEngenharia Agrícola$gv.34, n.2, Jaboticabal, Mar./Abr. 2014.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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