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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão; Embrapa Instrumentação. |
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Data corrente: |
25/10/2017 |
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Data da última atualização: |
18/07/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEÑALOZA, E. A. G.; CRUVINEL, P. E.; OLIVEIRA, V. A.; COSTA, A. G. F. |
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Afiliação: |
PAULO ESTEVAO CRUVINEL, CNPDIA. |
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Título: |
A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: International Journal of Semantic Computing, v. 11, n. 3, p. 279-292, 2017. |
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ISSN: |
1793-351X |
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DOI: |
https://doi.org/10.1142/S1793351X17400104 |
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Idioma: |
Inglês |
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Conteúdo: |
This paper presents a method to infer the quality of sprayers based on data collection of the drop spectra and their physical descriptors, which are used to generate a knowledge base to support decision-making in agriculture. The knowledge base is formed by collected experimental data, obtained in a controlled environment under specific operating conditions, and the semantics used in the spraying process to infer the quality in the application. The electro-hydraulic operating conditions of the sprayer system, which include speed and flow measurements, are used to define experimental tests, perform calibration of the spray booms and select the nozzle types. Using the Grubbs test and the quartile-quartile plot an exploratory analysis of the collected data was made in order to determine the data consistency, the deviation of atypical values, the independence between the data of each test, the repeatability and the normal representation of them. Therefore, integrating measurements to a knowledge base it was possible to improve the decision-making in relation to the quality of the spraying process defined in terms of a distribution function. Results shown that the use of advanced models and semantic interpretation improved the decision-making processes related to the quality of the agricultural sprayers. |
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Palavras-Chave: |
Advanced modeling; Agricultural sprayers; Average diameters; Drop size distribution; Quality of agricultural application; Semantic computing. |
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Categoria do assunto: |
-- |
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Marc: |
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008 2017 bl uuuu u00u1 u #d
022 $a1793-351X
024 7 $ahttps://doi.org/10.1142/S1793351X17400104$2DOI
100 1 $aPEÑALOZA, E. A. G.
245 $aA model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements.
260 $c2017
520 $aThis paper presents a method to infer the quality of sprayers based on data collection of the drop spectra and their physical descriptors, which are used to generate a knowledge base to support decision-making in agriculture. The knowledge base is formed by collected experimental data, obtained in a controlled environment under specific operating conditions, and the semantics used in the spraying process to infer the quality in the application. The electro-hydraulic operating conditions of the sprayer system, which include speed and flow measurements, are used to define experimental tests, perform calibration of the spray booms and select the nozzle types. Using the Grubbs test and the quartile-quartile plot an exploratory analysis of the collected data was made in order to determine the data consistency, the deviation of atypical values, the independence between the data of each test, the repeatability and the normal representation of them. Therefore, integrating measurements to a knowledge base it was possible to improve the decision-making in relation to the quality of the spraying process defined in terms of a distribution function. Results shown that the use of advanced models and semantic interpretation improved the decision-making processes related to the quality of the agricultural sprayers.
653 $aAdvanced modeling
653 $aAgricultural sprayers
653 $aAverage diameters
653 $aDrop size distribution
653 $aQuality of agricultural application
653 $aSemantic computing
700 1 $aCRUVINEL, P. E.
700 1 $aOLIVEIRA, V. A.
700 1 $aCOSTA, A. G. F.
773 $tIn: International Journal of Semantic Computing$gv. 11, n. 3, p. 279-292, 2017.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
17/12/2020 |
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Data da última atualização: |
12/05/2021 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
OLIVEIRA JUNIOR, A. de; CASTRO, C. de; OLIVEIRA, F. A. de; KLEPKER, D. |
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Afiliação: |
ADILSON DE OLIVEIRA JUNIOR, CNPSO; CESAR DE CASTRO, CNPSO; FABIO ALVARES DE OLIVEIRA, CNPSO; DIRCEU KLEPKER, CPACP. |
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Título: |
Fertilidade do solo e avaliação do estado nutricional da soja. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
In: SEIXAS, C. D. S.; NEUMAIER, N.; BALBINOT JUNIOR, A. A.; KRZYZANOWSKI, F. C.; LEITE, R. M. V. B. de C. (Ed.). Tecnologias de produção de soja. Londrina: Embrapa Soja, 2020. (Embrapa Soja. Sistemas de Produção, 17). |
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Páginas: |
p. 133-184. |
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Idioma: |
Português |
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Thesagro: |
Soja. |
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Thesaurus NAL: |
Soybeans. |
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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/223208/1/cap-7-SP-17-2020.pdf
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Marc: |
LEADER 00691naa a2200181 a 4500
001 2128401
005 2021-05-12
008 2020 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA JUNIOR, A. de
245 $aFertilidade do solo e avaliação do estado nutricional da soja.$h[electronic resource]
260 $c2020
300 $ap. 133-184.
650 $aSoybeans
650 $aSoja
700 1 $aCASTRO, C. de
700 1 $aOLIVEIRA, F. A. de
700 1 $aKLEPKER, D.
773 $tIn: SEIXAS, C. D. S.; NEUMAIER, N.; BALBINOT JUNIOR, A. A.; KRZYZANOWSKI, F. C.; LEITE, R. M. V. B. de C. (Ed.). Tecnologias de produção de soja. Londrina: Embrapa Soja, 2020. (Embrapa Soja. Sistemas de Produção, 17).
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