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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
20/02/2014 |
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Data da última atualização: |
18/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CAMPOS, A. T.; CASTRO, J. de O.; SCHIASSI, L.; YANAGI JUNIOR, T.; PIRES, M. de F. A.; MATTIOLI, C. C. |
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Afiliação: |
ALESSANDRO TORRES CAMPOS, UFLA; JAQUELINE DE OLIVEIRA CASTRO, UFLA; LEONARDO SCHIASSI, UFLA; TADAYUKI YANAGI JUNIOR, UFLA; MARIA DE FATIMA AVILA PIRES, CNPGL; CRISTIANO CAMPOS MATTIOLI, UFMG. |
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Título: |
Prediction of free-stall occupancy rate in dairy cattle barns through fuzzy sets. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Engenharia Agrícola, Jaboticabal, v. 33, n. 6, p. 1079-1089, 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT - The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns. RESUMO - Objetivou-se com o presente trabalho desenvolver um modelo fuzzy para predizer a taxa de ocupação de baias em instalações para gado de leite do tipo free-stall, auxiliando na otimização do dimensionamento de projetos. Para o desenvolvimento do sistema fuzzy, foram definidas como variáveis de entrada: a temperatura de bulbo seco (Tbs, °C); temperatura de bulbo úmido (Tbu, °C), e temperatura de globo negro (Tgn,ºC). Com base nas variáveis de entrada, o sistema fuzzy prediz a taxa de ocupação (TO,%) de vacas leiteiras em instalações do tipo free-stall. Para a validação do modelo, coletas de dados foram realizadas nas instalações do Sistema Intensivo de Produção de Leite (SIPL), do Centro Nacional de Pesquisa de Gado de Leite (CNPGL) da Embrapa. Os valores de TO estimados pelo sistema fuzzy apresentaram valores de desvio-padrão médio de 3,93%, indicando baixo índice de erros na simulação. Os resultados simulados foram, estatisticamente, iguais aos medidos (P>0,05, Teste t). Após a validação do modelo proposto, a porcentagem de acerto médio para os dados simulados foi de 89,7%. Portanto, o sistema fuzzy, desenvolvido para a predição da taxa de ocupação de baias em instalação free-stall para bovinos leiteiros, possibilitou a predição realística da taxa de ocupação de baias, propiciando o planejamento e o projeto de instalações free-stall. MenosABSTRACT - The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns. RESUMO - Objetivou-se com o presente trabalho desenvolver um modelo fuzzy para predizer a taxa de ocupação de baias em instalações para gado de leite do tipo free-stall, auxiliando na otimização do dimensionamento de projetos. Para o desenvolvimento do siste... Mostrar Tudo |
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Palavras-Chave: |
Bovine facilities; Confinement systems; Stalls. |
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Thesaurus Nal: |
dairy cattle; design. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/97837/1/Artigo-Fatinha-Eng-Agric-01.pdf
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Marc: |
LEADER 03358naa a2200241 a 4500
001 1980685
005 2022-08-18
008 2013 bl uuuu u00u1 u #d
100 1 $aCAMPOS, A. T.
245 $aPrediction of free-stall occupancy rate in dairy cattle barns through fuzzy sets.$h[electronic resource]
260 $c2013
520 $aABSTRACT - The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns. RESUMO - Objetivou-se com o presente trabalho desenvolver um modelo fuzzy para predizer a taxa de ocupação de baias em instalações para gado de leite do tipo free-stall, auxiliando na otimização do dimensionamento de projetos. Para o desenvolvimento do sistema fuzzy, foram definidas como variáveis de entrada: a temperatura de bulbo seco (Tbs, °C); temperatura de bulbo úmido (Tbu, °C), e temperatura de globo negro (Tgn,ºC). Com base nas variáveis de entrada, o sistema fuzzy prediz a taxa de ocupação (TO,%) de vacas leiteiras em instalações do tipo free-stall. Para a validação do modelo, coletas de dados foram realizadas nas instalações do Sistema Intensivo de Produção de Leite (SIPL), do Centro Nacional de Pesquisa de Gado de Leite (CNPGL) da Embrapa. Os valores de TO estimados pelo sistema fuzzy apresentaram valores de desvio-padrão médio de 3,93%, indicando baixo índice de erros na simulação. Os resultados simulados foram, estatisticamente, iguais aos medidos (P>0,05, Teste t). Após a validação do modelo proposto, a porcentagem de acerto médio para os dados simulados foi de 89,7%. Portanto, o sistema fuzzy, desenvolvido para a predição da taxa de ocupação de baias em instalação free-stall para bovinos leiteiros, possibilitou a predição realística da taxa de ocupação de baias, propiciando o planejamento e o projeto de instalações free-stall.
650 $adairy cattle
650 $adesign
653 $aBovine facilities
653 $aConfinement systems
653 $aStalls
700 1 $aCASTRO, J. de O.
700 1 $aSCHIASSI, L.
700 1 $aYANAGI JUNIOR, T.
700 1 $aPIRES, M. de F. A.
700 1 $aMATTIOLI, C. C.
773 $tEngenharia Agrícola, Jaboticabal$gv. 33, n. 6, p. 1079-1089, 2013.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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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: |
12/06/2009 |
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Data da última atualização: |
19/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
CABRAL, J. R. S.; MATOS, A. P. de. |
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Afiliação: |
JOSE RENATO SANTOS CABRAL, CNPMF; ARISTOTELES PIRES DE MATOS, CNPMF. |
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Título: |
Imperial, a new pineapple cultivar resistant to fusariosis. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Acta Horticulturae, Leuven, n. 822, p. 47-50, mar. 2009. |
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ISSN: |
0567-7572 |
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Idioma: |
Inglês |
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Notas: |
Edição de Proceedings of the VI International Pineapple Symposium, João Pessoa, nov. 2007. Disponível também em CD-ROM e on-line. |
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Conteúdo: |
The pineapple disease known as fusariosis is the most important constraint of the pineapple industry in Brazil. Its control is based upon integration of several cultural practices associated with chemical control, and growing resistant cultivars. In order to do that, Embrapa Cassava & Tropical Fruits is carrying out a pineapple breeding program aimed at obtaining fusariosis resistant cultivars. Up to the present that breeding program has generated and evaluated 53,397 hybrids. Among them, the hybrid PE × SC-56, that showed good quality fruits, besides being resistant to fusariosis, was released as a new pineapple cultivar in 2003, named ?Imperial?, and was recommended for planting mainly in regions where that disease is one of the main limiting factors for pineapple production. The ?Imperial? pineapple plant is of intermediate height with spineless dark green leaves. The fruit is small and cylindrical, with a yellow peel at ripening. The pulp is yellow, with a high sugar content, moderate acidity, a high level of ascorbic acid and a very good flavor. ?Imperial? also shows resistance to internal browning. The following characteristics may be considered as unfavorable: slow plant growth, peduncle with small diameter, small fruit (1.6 kg), rough fruit surface due to uneven fruitlets (influenced by climatic conditions), slips occasionally attached to the fruit base. Growing "Imperial" pineapple does not require fungicide applications to control fusariosis, thus resulting in reduction of production costs, lower environmental impact and safer fruit production. MenosThe pineapple disease known as fusariosis is the most important constraint of the pineapple industry in Brazil. Its control is based upon integration of several cultural practices associated with chemical control, and growing resistant cultivars. In order to do that, Embrapa Cassava & Tropical Fruits is carrying out a pineapple breeding program aimed at obtaining fusariosis resistant cultivars. Up to the present that breeding program has generated and evaluated 53,397 hybrids. Among them, the hybrid PE × SC-56, that showed good quality fruits, besides being resistant to fusariosis, was released as a new pineapple cultivar in 2003, named ?Imperial?, and was recommended for planting mainly in regions where that disease is one of the main limiting factors for pineapple production. The ?Imperial? pineapple plant is of intermediate height with spineless dark green leaves. The fruit is small and cylindrical, with a yellow peel at ripening. The pulp is yellow, with a high sugar content, moderate acidity, a high level of ascorbic acid and a very good flavor. ?Imperial? also shows resistance to internal browning. The following characteristics may be considered as unfavorable: slow plant growth, peduncle with small diameter, small fruit (1.6 kg), rough fruit surface due to uneven fruitlets (influenced by climatic conditions), slips occasionally attached to the fruit base. Growing "Imperial" pineapple does not require fungicide applications to control fusariosis, thus resulting in redu... Mostrar Tudo |
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Palavras-Chave: |
Ananas comosus var; comosus; Resistant variety. |
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Thesaurus NAL: |
plant breeding. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02279naa a2200205 a 4500
001 1655729
005 2022-07-19
008 2009 bl uuuu u00u1 u #d
022 $a0567-7572
100 1 $aCABRAL, J. R. S.
245 $aImperial, a new pineapple cultivar resistant to fusariosis.$h[electronic resource]
260 $c2009
500 $aEdição de Proceedings of the VI International Pineapple Symposium, João Pessoa, nov. 2007. Disponível também em CD-ROM e on-line.
520 $aThe pineapple disease known as fusariosis is the most important constraint of the pineapple industry in Brazil. Its control is based upon integration of several cultural practices associated with chemical control, and growing resistant cultivars. In order to do that, Embrapa Cassava & Tropical Fruits is carrying out a pineapple breeding program aimed at obtaining fusariosis resistant cultivars. Up to the present that breeding program has generated and evaluated 53,397 hybrids. Among them, the hybrid PE × SC-56, that showed good quality fruits, besides being resistant to fusariosis, was released as a new pineapple cultivar in 2003, named ?Imperial?, and was recommended for planting mainly in regions where that disease is one of the main limiting factors for pineapple production. The ?Imperial? pineapple plant is of intermediate height with spineless dark green leaves. The fruit is small and cylindrical, with a yellow peel at ripening. The pulp is yellow, with a high sugar content, moderate acidity, a high level of ascorbic acid and a very good flavor. ?Imperial? also shows resistance to internal browning. The following characteristics may be considered as unfavorable: slow plant growth, peduncle with small diameter, small fruit (1.6 kg), rough fruit surface due to uneven fruitlets (influenced by climatic conditions), slips occasionally attached to the fruit base. Growing "Imperial" pineapple does not require fungicide applications to control fusariosis, thus resulting in reduction of production costs, lower environmental impact and safer fruit production.
650 $aplant breeding
653 $aAnanas comosus var
653 $acomosus
653 $aResistant variety
700 1 $aMATOS, A. P. de
773 $tActa Horticulturae, Leuven$gn. 822, p. 47-50, mar. 2009.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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