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Registro Completo |
Biblioteca(s): |
Embrapa Algodão; Embrapa Instrumentação. |
Data corrente: |
25/10/2017 |
Data da última atualização: |
18/07/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PEÑALOZA, E. A. G.; CRUVINEL, P. E.; OLIVEIRA, V. A.; COSTA, A. G. F. |
Afiliação: |
PAULO ESTEVAO CRUVINEL, CNPDIA. |
Título: |
A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: International Journal of Semantic Computing, v. 11, n. 3, p. 279-292, 2017. |
ISSN: |
1793-351X |
DOI: |
https://doi.org/10.1142/S1793351X17400104 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Advanced modeling; Agricultural sprayers; Average diameters; Drop size distribution; Quality of agricultural application; Semantic computing. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02168naa a2200253 a 4500 001 2078211 005 2018-07-18 008 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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Embrapa Instrumentação (CNPDIA) |
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Registros recuperados : 9 | |
1. |  | BATISTA, D. de V. S. Estabilidade de banana passa orgânica. 2012. 78 f. Dissertação (Mestrado em Agronomia) - Universidade Federal da Bahia, Cruz das Almas. Orientador: Ricardo Luis Cardoso; Co-orientadores: Rossana Catiê Bueno de Godoy; Norma Suely Evangelista Barreto.Tipo: Orientação de Tese de Pós-Graduação |
Biblioteca(s): Embrapa Florestas. |
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3. |  | BATISTA, D. de V. S.; CARDOSO, R. L.; GODOY, R. C. B. de; EVANGELISTA-BARRETO, N. S. Estabilidade físico-química e microbiológica de banana passa orgânica. Ciência Rural, Santa Maria, RS, v. 44, n. 10, p. 1886-1892, out. 2014.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Florestas. |
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4. |  | BATISTA, D. de V. S.; SILVA, F. da; REIS, R. C.; ALMEIDA, J. M.; JESUS, J. L. de. Potencial antifúngico do óleo essencial de cravo no controle da antracnose em mamão pós-colheita. In: CONGRESO LATINOAMERICANO DE MICROBIOLOGIA, 24.; CONGRESO CHILENO DE MICROBIOLOGIA, 40.; REUNIÓN ANUAL DE LA ASSOCIACIÓN CHILENA DE INMUNOLOGIA, 2.; REUNIÓN DE LA SOCIEDAD LATINOAMERICANA DE TUBERCULOSIS Y OTRAS MICOBACTERIOSIS, 9., 2018, Santiago, Chile. Libro de resúmenes. Santiago: Asociación Latinoamericana de Microbiología, 2018Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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5. |  | BATISTA, D. DE V. S.; REIS, R. C.; ALMEIDA, J. M.; REZENDE, B.; BRAGANÇA, C. A. D.; SILVA, F. DA. Edible coatings in post-harvest papaya: impact on physical-chemical and sensory characteristics. Journal of Food Science and Technology, v.57, n.1, p.274?28, January, 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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Registros recuperados : 9 | |
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