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| Registros recuperados : 27 | |
| 1. |  | ANDRADE, P. B.; CRUVINEL, P. E.; PEÑALOZA, E. A. G. Module for virtual calibration of sensors of agricultural spraying systems (temperature, pressure and flow) using an arduino-based architecture and a controller area network bus (CAN). In: IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING - ICSC, 12., 2018, California, USA. Proceedings... Laguna Hills, California, USA: IEEE, 2018. 352-357| Biblioteca(s): Embrapa Instrumentação. |
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| 7. | | SCHUTZ, D. R.; MERCALDI, H. V.; PENALOZA, E. A. G.; OLIVEIRA, V. A.; CRUVINEL, P. E. An intelligent fuzzy-GPC control for agricultural sprayers: Comparison between GPC and PID fuzzy controllers. In: Brito Palma, L., Neves Silva, R., Gomes, L. (eds) CONTROLO 2022. LNEE 930, Lecture notes in Electrical Engineering, v. 930, Springer, Cham, 272 - 284 eBook Packages Intelligent Technologies and Robotics.| Biblioteca(s): Embrapa Instrumentação. |
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| 8. | | PENALOZA, E. A. G.; MERCALDI, H. V.; FELIZARDO, K. R.; OLIVEIRA, V. A.; CRUVINEL, P. E. Modelo do erro de taxa de aplicação em função do ângulo de esterçamento de um pulverizador tratorizado. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 2014, São Carlos, SP Anais do SIAGRO: ciência, inovação e mercado 2014. São Carlos, SP: Embrapa Instrumentação, 2014. p. 53-56. Editores: Carlos Manoel Pedro Vaz, Débora Marcondes Bastos Pereira Milori, Silvio Crestana.| Biblioteca(s): Embrapa Instrumentação. |
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| 10. | | SCHUTZ, D. R.; PENALOZA, E. A. G.; MERCALDI, H. V.; OLIVEIRA, V. A.; CRUVINEL, P. E. A Model Based Intelligent Sensor to Control Sprinklers in Spray Actions. In: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2023, 8., 2023, Venice, Italy. Proceedings... Wilmington, USA: IARIA, 2023.| Biblioteca(s): Embrapa Instrumentação. |
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| 11. | | PENALOZA, E. A. G.; MERCALDI, H. V.; OLIVEIRA, V. A.; CRUVINEL, P. E. An advanced model based on analytical and computational procedures for the evaluation of spraying processes in agriculture. In: INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING - ICSC, 10., 2016, Laguna Hills, California, USA. Proceedings... Los Alamitos, California, EUA: IEEE, 2016. p. 432-436.| Biblioteca(s): Embrapa Instrumentação. |
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| 17. | | CRUVINEL, P. E.; PENÃLOZA, E. A. G.; ANDRADE, P. B.; MERCALDI, H. V. Real-time failure and reliability analysis of agricultural sprayers based on sensors, arduino architecture, and controller area bus protocol. In: INTERNATIONAL CONFERENCE ON SENSOR DEVICE TECHNOLOGIES AND APPLICATIONS, 10., 2019. Nice, France. Proceedings... Wilmington: IARIA, 2019. 38-48| Biblioteca(s): Embrapa Instrumentação. |
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| 18. | | MERCALDI, H. V.; PEÑALOZA, E. A. G.; MARIANO, R. A.; OLIVEIRA, V. A.; CRUVINEL, P. E. Flow and pressure regulation for agricultural sprayers using solenoid valves. In: INTERNATIONAL FEDERATION OF AUTOMATIC CONTROL WORLD CONGRESS, 20., Toulouse, France, 2017. Proceedings..., p. 6607-6612, 2017.| Biblioteca(s): Embrapa Instrumentação. |
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| 19. | | PEÑALOZA, E. A. G.; OLIVEIRA, V. A.; CRUVINEL, P. E. (ed.). Soft-sensor approach based on principal components analysis to improve the quality of the application of pesticides in agricultural pest control. In: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2018, 3., 2018, Rome. Proceedings... Wilmington, USA: IARIA, 2018. p. 95-100.| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 27 | |
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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. |
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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Circulação/Nível: |
B - 5 |
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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: |
LEADER 02168naa a2200253 a 4500
001 2078211
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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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