Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models
The 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 leve...
Gespeichert in:
| Veröffentlicht in: | Applied sciences 2020, Vol.10 (15), p.5029, Article 5029 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 15 |
| container_start_page | 5029 |
| container_title | Applied sciences |
| container_volume | 10 |
| creator | Javier Aguirre, Angel Guevara-Viera, Guillermo E. Torres-Inga, Carlos S. Guevara-Viera, Raul V. Bone, Antonio Vidal, Mariano Javier Garcia-Ramos, Francisco |
| description | The 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 effects (FE) and the section of the tank as the random effect. 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 efficiency of the agitation system of agricultural sprayers. |
| doi_str_mv | 10.3390/app10155029 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_webof</sourceid><recordid>TN_cdi_webofscience_primary_000559131000001</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_853856e8d3c64c1ea60205b6f0914bf3</doaj_id><sourcerecordid>2427385253</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-f3906436a5db2890133a561c12d25e1a653ed4eb02fae7118ff78c3943b040d33</originalsourceid><addsrcrecordid>eNqNkU1PGzEQhq2qSEWBU_-ApR5Rir939xhFQJGCOBR6tbz2OHK0tRd7V23663EIAo6di8ejd97RzIPQV0q-c96RSzOOlFApCes-oVNGGrXkgjafP-Rf0HkpO1Kjo7yl5BTpVTTDvoSCk8fXwxwc_gVDsmHa4xBLcIBNxKttDnYepjmbAf8cs9lDxo8lxC2-gQi1Gv6Bw5sQwWR8F_7Wz11yMJQzdOLNUOD89V2gx-urh_WP5eb-5na92iwtV2Ja-rqAElwZ6XrWdoRybqSiljLHJFCjJAcnoCfMG2gobb1vWss7wXsiiON8gW6Pvi6ZnR5z-G3yXicT9Esh5a02eQp2AN1K3koFreNWCUvBKMKI7JWvRxG9P3h9O3qNOT3NUCa9S3OudyqaCdbUbiYPqoujyuZUSgb_NpUSfQCiPwB5V_-BPvliA0QLbx0ViJQVCT2gqcsvUPv_6nWYzBRSXKc5TvwZEnqclg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2427385253</pqid></control><display><type>article</type><title>Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>DOAJ Directory of Open Access Journals</source><source>Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Javier Aguirre, Angel ; Guevara-Viera, Guillermo E. ; Torres-Inga, Carlos S. ; Guevara-Viera, Raul V. ; Bone, Antonio ; Vidal, Mariano ; Javier Garcia-Ramos, Francisco</creator><creatorcontrib>Javier Aguirre, Angel ; Guevara-Viera, Guillermo E. ; Torres-Inga, Carlos S. ; Guevara-Viera, Raul V. ; Bone, Antonio ; Vidal, Mariano ; Javier Garcia-Ramos, Francisco</creatorcontrib><description>The 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 effects (FE) and the section of the tank as the random effect. 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 efficiency of the agitation system of agricultural sprayers.</description><identifier>ISSN: 2076-3417</identifier><identifier>EISSN: 2076-3417</identifier><identifier>DOI: 10.3390/app10155029</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Agitation ; Bayesian analysis ; Bias ; Chemistry ; Chemistry, Multidisciplinary ; Covariance matrix ; covariance structure ; Engineering ; Engineering, Multidisciplinary ; Generalized linear models ; Geometry ; Goodness of fit ; information criteria ; link function ; Liquid levels ; Materials Science ; Materials Science, Multidisciplinary ; Mathematical models ; Methods ; Normal distribution ; Nozzles ; Physical Sciences ; Physics ; Physics, Applied ; Probability distribution functions ; random-effects ; residual variance ; Science & Technology ; Software packages ; Sprays ; Statistical models ; Technology ; Variables ; Velocity</subject><ispartof>Applied sciences, 2020, Vol.10 (15), p.5029, Article 5029</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>1</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000559131000001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c364t-f3906436a5db2890133a561c12d25e1a653ed4eb02fae7118ff78c3943b040d33</citedby><cites>FETCH-LOGICAL-c364t-f3906436a5db2890133a561c12d25e1a653ed4eb02fae7118ff78c3943b040d33</cites><orcidid>0000-0001-6379-4926 ; 0000-0002-0227-1934 ; 0000-0001-5859-3361</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,866,2106,2118,4028,27932,27933,27934,28257</link.rule.ids></links><search><creatorcontrib>Javier Aguirre, Angel</creatorcontrib><creatorcontrib>Guevara-Viera, Guillermo E.</creatorcontrib><creatorcontrib>Torres-Inga, Carlos S.</creatorcontrib><creatorcontrib>Guevara-Viera, Raul V.</creatorcontrib><creatorcontrib>Bone, Antonio</creatorcontrib><creatorcontrib>Vidal, Mariano</creatorcontrib><creatorcontrib>Javier Garcia-Ramos, Francisco</creatorcontrib><title>Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models</title><title>Applied sciences</title><addtitle>APPL SCI-BASEL</addtitle><description>The 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 effects (FE) and the section of the tank as the random effect. 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 efficiency of the agitation system of agricultural sprayers.</description><subject>Agitation</subject><subject>Bayesian analysis</subject><subject>Bias</subject><subject>Chemistry</subject><subject>Chemistry, Multidisciplinary</subject><subject>Covariance matrix</subject><subject>covariance structure</subject><subject>Engineering</subject><subject>Engineering, Multidisciplinary</subject><subject>Generalized linear models</subject><subject>Geometry</subject><subject>Goodness of fit</subject><subject>information criteria</subject><subject>link function</subject><subject>Liquid levels</subject><subject>Materials Science</subject><subject>Materials Science, Multidisciplinary</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Normal distribution</subject><subject>Nozzles</subject><subject>Physical Sciences</subject><subject>Physics</subject><subject>Physics, Applied</subject><subject>Probability distribution functions</subject><subject>random-effects</subject><subject>residual variance</subject><subject>Science & Technology</subject><subject>Software packages</subject><subject>Sprays</subject><subject>Statistical models</subject><subject>Technology</subject><subject>Variables</subject><subject>Velocity</subject><issn>2076-3417</issn><issn>2076-3417</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkU1PGzEQhq2qSEWBU_-ApR5Rir939xhFQJGCOBR6tbz2OHK0tRd7V23663EIAo6di8ejd97RzIPQV0q-c96RSzOOlFApCes-oVNGGrXkgjafP-Rf0HkpO1Kjo7yl5BTpVTTDvoSCk8fXwxwc_gVDsmHa4xBLcIBNxKttDnYepjmbAf8cs9lDxo8lxC2-gQi1Gv6Bw5sQwWR8F_7Wz11yMJQzdOLNUOD89V2gx-urh_WP5eb-5na92iwtV2Ja-rqAElwZ6XrWdoRybqSiljLHJFCjJAcnoCfMG2gobb1vWss7wXsiiON8gW6Pvi6ZnR5z-G3yXicT9Esh5a02eQp2AN1K3koFreNWCUvBKMKI7JWvRxG9P3h9O3qNOT3NUCa9S3OudyqaCdbUbiYPqoujyuZUSgb_NpUSfQCiPwB5V_-BPvliA0QLbx0ViJQVCT2gqcsvUPv_6nWYzBRSXKc5TvwZEnqclg</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Javier Aguirre, Angel</creator><creator>Guevara-Viera, Guillermo E.</creator><creator>Torres-Inga, Carlos S.</creator><creator>Guevara-Viera, Raul V.</creator><creator>Bone, Antonio</creator><creator>Vidal, Mariano</creator><creator>Javier Garcia-Ramos, Francisco</creator><general>Mdpi</general><general>MDPI AG</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6379-4926</orcidid><orcidid>https://orcid.org/0000-0002-0227-1934</orcidid><orcidid>https://orcid.org/0000-0001-5859-3361</orcidid></search><sort><creationdate>2020</creationdate><title>Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models</title><author>Javier Aguirre, Angel ; Guevara-Viera, Guillermo E. ; Torres-Inga, Carlos S. ; Guevara-Viera, Raul V. ; Bone, Antonio ; Vidal, Mariano ; Javier Garcia-Ramos, Francisco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-f3906436a5db2890133a561c12d25e1a653ed4eb02fae7118ff78c3943b040d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agitation</topic><topic>Bayesian analysis</topic><topic>Bias</topic><topic>Chemistry</topic><topic>Chemistry, Multidisciplinary</topic><topic>Covariance matrix</topic><topic>covariance structure</topic><topic>Engineering</topic><topic>Engineering, Multidisciplinary</topic><topic>Generalized linear models</topic><topic>Geometry</topic><topic>Goodness of fit</topic><topic>information criteria</topic><topic>link function</topic><topic>Liquid levels</topic><topic>Materials Science</topic><topic>Materials Science, Multidisciplinary</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Normal distribution</topic><topic>Nozzles</topic><topic>Physical Sciences</topic><topic>Physics</topic><topic>Physics, Applied</topic><topic>Probability distribution functions</topic><topic>random-effects</topic><topic>residual variance</topic><topic>Science & Technology</topic><topic>Software packages</topic><topic>Sprays</topic><topic>Statistical models</topic><topic>Technology</topic><topic>Variables</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Javier Aguirre, Angel</creatorcontrib><creatorcontrib>Guevara-Viera, Guillermo E.</creatorcontrib><creatorcontrib>Torres-Inga, Carlos S.</creatorcontrib><creatorcontrib>Guevara-Viera, Raul V.</creatorcontrib><creatorcontrib>Bone, Antonio</creatorcontrib><creatorcontrib>Vidal, Mariano</creatorcontrib><creatorcontrib>Javier Garcia-Ramos, Francisco</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Javier Aguirre, Angel</au><au>Guevara-Viera, Guillermo E.</au><au>Torres-Inga, Carlos S.</au><au>Guevara-Viera, Raul V.</au><au>Bone, Antonio</au><au>Vidal, Mariano</au><au>Javier Garcia-Ramos, Francisco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models</atitle><jtitle>Applied sciences</jtitle><stitle>APPL SCI-BASEL</stitle><date>2020</date><risdate>2020</risdate><volume>10</volume><issue>15</issue><spage>5029</spage><pages>5029-</pages><artnum>5029</artnum><issn>2076-3417</issn><eissn>2076-3417</eissn><abstract>The 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 effects (FE) and the section of the tank as the random effect. 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 efficiency of the agitation system of agricultural sprayers.</abstract><cop>BASEL</cop><pub>Mdpi</pub><doi>10.3390/app10155029</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-6379-4926</orcidid><orcidid>https://orcid.org/0000-0002-0227-1934</orcidid><orcidid>https://orcid.org/0000-0001-5859-3361</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2076-3417 |
| ispartof | Applied sciences, 2020, Vol.10 (15), p.5029, Article 5029 |
| issn | 2076-3417 2076-3417 |
| language | eng |
| recordid | cdi_webofscience_primary_000559131000001 |
| source | MDPI - Multidisciplinary Digital Publishing Institute; DOAJ Directory of Open Access Journals; Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Agitation Bayesian analysis Bias Chemistry Chemistry, Multidisciplinary Covariance matrix covariance structure Engineering Engineering, Multidisciplinary Generalized linear models Geometry Goodness of fit information criteria link function Liquid levels Materials Science Materials Science, Multidisciplinary Mathematical models Methods Normal distribution Nozzles Physical Sciences Physics Physics, Applied Probability distribution functions random-effects residual variance Science & Technology Software packages Sprays Statistical models Technology Variables Velocity |
| title | Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-01T13%3A36%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_webof&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20Fluid%20Velocity%20inside%20an%20Agricultural%20Sprayer%20Using%20Generalized%20Linear%20Mixed%20Models&rft.jtitle=Applied%20sciences&rft.au=Javier%20Aguirre,%20Angel&rft.date=2020&rft.volume=10&rft.issue=15&rft.spage=5029&rft.pages=5029-&rft.artnum=5029&rft.issn=2076-3417&rft.eissn=2076-3417&rft_id=info:doi/10.3390/app10155029&rft_dat=%3Cproquest_webof%3E2427385253%3C/proquest_webof%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2427385253&rft_id=info:pmid/&rft_doaj_id=oai_doaj_org_article_853856e8d3c64c1ea60205b6f0914bf3&rfr_iscdi=true |