000095555 001__ 95555
000095555 005__ 20210902121722.0
000095555 0247_ $$2doi$$a10.3390/app10155029
000095555 0248_ $$2sideral$$a119660
000095555 037__ $$aART-2020-119660
000095555 041__ $$aeng
000095555 100__ $$aAguirre, Ángel J.
000095555 245__ $$aAnalysis of fluid velocity inside an agricultural sprayer using generalized linear mixed models
000095555 260__ $$c2020
000095555 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095555 5203_ $$aThe fluid velocity inside the tank of agricultural sprayers is an indicator of the quality of the mixture. This study aims to formulate the best generalized linear mixed model to infer the fluid velocity inside a tank under specific operational parameters of the agitation system, such as liquid level, circuit pressures, and number of active nozzles. A complex model was developed that included operational parameters as fixed eects (FE) and the section of the tank as the random eect. The goodness of fit of the model was evaluated by considering the lowest values of Akaike''s information criteria and Bayesian information criterion, and by estimating the residual variance. The gamma distribution and log-link function enhanced the goodness of fit of the best model. The Toeplitz structure was chosen as the structure of the covariance matrix. SPSS and SAS software were used to compute the model. The analysis showed that the greatest influence on the fluid velocity was exerted by the liquid level in the tank, followed by the circuit pressure and, finally, the number of active nozzles. The development presented here could serve as a guide for formulating models to evaluate the eciency of the agitation system of agricultural sprayers.
000095555 536__ $$9info:eu-repo/grantAgreement/ES/UZ/Grupo Investigación LAMAGRI
000095555 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095555 590__ $$a2.679$$b2020
000095555 591__ $$aPHYSICS, APPLIED$$b73 / 160 = 0.456$$c2020$$dQ2$$eT2
000095555 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b38 / 91 = 0.418$$c2020$$dQ2$$eT2
000095555 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b101 / 178 = 0.567$$c2020$$dQ3$$eT2
000095555 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b201 / 333 = 0.604$$c2020$$dQ3$$eT2
000095555 592__ $$a0.435$$b2020
000095555 593__ $$aComputer Science Applications$$c2020$$dQ2
000095555 593__ $$aEngineering (miscellaneous)$$c2020$$dQ2
000095555 593__ $$aProcess Chemistry and Technology$$c2020$$dQ2
000095555 593__ $$aInstrumentation$$c2020$$dQ2
000095555 593__ $$aMaterials Science (miscellaneous)$$c2020$$dQ2
000095555 593__ $$aFluid Flow and Transfer Processes$$c2020$$dQ2
000095555 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095555 700__ $$aGuevara-Viera, Guillermo E.
000095555 700__ $$aTorres-Inga, Carlos S.
000095555 700__ $$aGuevara-Viera, Raúl V.
000095555 700__ $$0(orcid)0000-0001-8526-351X$$aBoné, Antonio$$uUniversidad de Zaragoza
000095555 700__ $$0(orcid)0000-0003-0373-8310$$aVidal, Mariano$$uUniversidad de Zaragoza
000095555 700__ $$0(orcid)0000-0002-0227-1934$$aGarcía-Ramos, Francisco Javier$$uUniversidad de Zaragoza
000095555 7102_ $$15011$$2500$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cArea Ingeniería Agroforestal
000095555 7102_ $$15004$$2545$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Ingeniería Mecánica
000095555 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000095555 773__ $$g10, 15 (2020), 5029 [18 pp.]$$pAppl. sci.$$tAPPLIED SCIENCES-BASEL$$x2076-3417
000095555 85641 $$uhttps://www.mdpi.com/2076-3417/10/15/5029$$zTexto completo de la revista
000095555 8564_ $$s839056$$uhttps://zaguan.unizar.es/record/95555/files/texto_completo.pdf$$yVersión publicada
000095555 8564_ $$s480918$$uhttps://zaguan.unizar.es/record/95555/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095555 909CO $$ooai:zaguan.unizar.es:95555$$particulos$$pdriver
000095555 951__ $$a2021-09-02-09:29:20
000095555 980__ $$aARTICLE