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<!DOCTYPE html><html lang="en"><head><title data-react-helmet="true">Comparison of data mining models applied to a surface meteorological station</title> <meta data-react-helmet="true" name="viewport" content="width=device-width, initial-scale=1, maximum-scale=5, viewport-fit=cover"/><meta data-react-helmet="true" property="og:site_name" content="scite.ai"/><meta data-react-helmet="true" property="og:type" content="website"/><meta data-react-helmet="true" property="twitter:card" content="summary_large_image"/><meta data-react-helmet="true" name="twitter:site" content="@scite"/><meta data-react-helmet="true" property="title" content="Comparison of data mining models applied to a surface meteorological station"/><meta data-react-helmet="true" property="og:title" content="Comparison of data mining models applied to a surface meteorological station"/><meta data-react-helmet="true" property="twitter:title" content="Comparison of data mining models applied to a surface meteorological station"/><meta data-react-helmet="true" property="og:image" content="http://image.thum.io/get/ogImage/https://scite.ai/reports/comparison-of-data-mining-models-wm8pmee?bannerClosed=true&onboardingOff=true&paywallOff=true&v=2"/><meta data-react-helmet="true" property="twitter:image" content="http://image.thum.io/get/ogImage/https://scite.ai/reports/comparison-of-data-mining-models-wm8pmee?bannerClosed=true&onboardingOff=true&paywallOff=true&v=2"/><meta data-react-helmet="true" name="description" content="This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorological station location one hour prior its occurrence. Classification models were developed based on decision trees and artificial neural networks. The steps of consistency analysis, treatment and data conversion, as well as the computational models used are described, and some metrics are compared in order to identify their effectiveness. The results obtained for the most accurate model presented a rate of 82. 9% of hits related to the prediction of rainfall equal to or greater than 10 mm h -1 one hour prior its occurrence. The results indicate the possibility of using this work to predict risk events in the study region."/><meta data-react-helmet="true" property="og:description" content="This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorological station location one hour prior its occurrence. Classification models were developed based on decision trees and artificial neural networks. The steps of consistency analysis, treatment and data conversion, as well as the computational models used are described, and some metrics are compared in order to identify their effectiveness. The results obtained for the most accurate model presented a rate of 82. 9% of hits related to the prediction of rainfall equal to or greater than 10 mm h -1 one hour prior its occurrence. The results indicate the possibility of using this work to predict risk events in the study region."/><meta data-react-helmet="true" property="twitter:description" content="This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorological station location one hour prior its occurrence. Classification models were developed based on decision trees and artificial neural networks. The steps of consistency analysis, treatment and data conversion, as well as the computational models used are described, and some metrics are compared in order to identify their effectiveness. The results obtained for the most accurate model presented a rate of 82. 9% of hits related to the prediction of rainfall equal to or greater than 10 mm h -1 one hour prior its occurrence. The results indicate the possibility of using this work to predict risk events in the study region."/><meta data-react-helmet="true" property="og:url" content="https://scite.ai/reports/comparison-of-data-mining-models-wm8pmee"/><meta data-react-helmet="true" name="citation_title" content="Comparison of data mining models applied to a surface meteorological station"/><meta data-react-helmet="true" name="citation_doi" content="10.1590/2318-0331.0217170029"/><meta data-react-helmet="true" name="citation_author" content="Charles, Anderson Cordeiro"/><meta data-react-helmet="true" name="citation_author" content="Namen, Anderson Amendoeira"/><meta data-react-helmet="true" name="citation_author" content="Rodrigues, Pedro Paulo Gomes Watts"/><meta data-react-helmet="true" name="citation_year" content="2017"/><meta data-react-helmet="true" name="citation_journal_title" content="RBRH"/><meta data-react-helmet="true" name="citation_volume" content="22"/><meta data-react-helmet="true" name="citation_issue" content="0"/><meta data-react-helmet="true" name="citation_abstract" content="This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorological station location one hour prior its occurrence. Classification models were developed based on decision trees and artificial neural networks. The steps of consistency analysis, treatment and data conversion, as well as the computational models used are described, and some metrics are compared in order to identify their effectiveness. The results obtained for the most accurate model presented a rate of 82. 9% of hits related to the prediction of rainfall equal to or greater than 10 mm h -1 one hour prior its occurrence. The results indicate the possibility of using this work to predict risk events in the study region."/><meta data-react-helmet="true" name="citation_public_url" content="https://doi.org/10.1590/2318-0331.0217170029"/> <link data-react-helmet="true" rel="preconnect" href="https://cdn.scite.ai" crossorigin="true"/><link data-react-helmet="true" rel="preconnect" href="https://fonts.googleapis.com"/><link data-react-helmet="true" rel="preconnect" href="https://fonts.gstatic.com" crossorigin="true"/><link data-react-helmet="true" rel="shortcut icon" href="https://cdn.scite.ai/assets/images/favicon.ico"/><link data-react-helmet="true" rel="stylesheet preload prefetch" as="style" href="https://cdn.scite.ai/assets/css/line-awesome-font-awesome.min.css?v=2"/><link data-react-helmet="true" rel="preload" as="style" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Sans:wght@200;300;400;500;600&display=swap"/><link data-react-helmet="true" rel="stylesheet" as="style" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Sans:wght@200;300;400;500;600&display=swap" media="print" onload="this.media='all'"/><link data-react-helmet="true" rel="canonical" href="https://scite.ai/reports/comparison-of-data-mining-models-wm8pmee"/> <script data-react-helmet="true" src="https://www.recaptcha.net/recaptcha/api.js?render=6LcnMGsqAAAAAJLHdGuust5QwzLk-asKPW5MWbAx"></script><script data-react-helmet="true" type="application/ld+json">{"@context":"http://schema.org","@graph":[{"@id":"#issue","@type":"PublicationIssue","issueNumber":"0","datePublished":2017,"isPartOf":{"@id":"#periodical","@type":["PublicationVolume","Periodical"],"name":"RBRH","issn":["2318-0331"],"volumeNumber":"22","publisher":"FapUNIFESP (SciELO)"}},{"@type":"ScholarlyArticle","isPartOf":"#issue","description":"This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorological station location one hour prior its occurrence. Classification models were developed based on decision trees and artificial neural networks. The steps of consistency analysis, treatment and data conversion, as well as the computational models used are described, and some metrics are compared in order to identify their effectiveness. The results obtained for the most accurate model presented a rate of 82. 9% of hits related to the prediction of rainfall equal to or greater than 10 mm h -1 one hour prior its occurrence. The results indicate the possibility of using this work to predict risk events in the study region.","abstract":"This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorological station location one hour prior its occurrence. Classification models were developed based on decision trees and artificial neural networks. The steps of consistency analysis, treatment and data conversion, as well as the computational models used are described, and some metrics are compared in order to identify their effectiveness. The results obtained for the most accurate model presented a rate of 82. 9% of hits related to the prediction of rainfall equal to or greater than 10 mm h -1 one hour prior its occurrence. The results indicate the possibility of using this work to predict risk events in the study region.","sameAs":"https://doi.org/10.1590/2318-0331.0217170029","name":"Comparison of data mining models applied to a surface meteorological station","headline":"Comparison of data mining models applied to a surface meteorological station","author":["Anderson Cordeiro Charles","Anderson Amendoeira Namen","Pedro Paulo Gomes Watts Rodrigues"],"publisher":{"@type":"Organization","name":"FapUNIFESP (SciELO)"},"datePublished":2017}]}</script> <link data-chunk="main" rel="stylesheet" href="https://cdn.scite.ai/assets/dist/main.2a4a881c9257077826c8.css"> <link data-chunk="Report" rel="stylesheet" href="https://cdn.scite.ai/assets/dist/6901.00ffb5a62514ad11206f.css"> <link data-chunk="Report" rel="stylesheet" href="https://cdn.scite.ai/assets/dist/6392.ee3f7fe674ceac954f77.css"> </head> <body><div id="scite-app"><div class="ReportApp__layout___ljMuO"><div><nav 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Tooltip__reference___hgPSY"><i class="copy fa fa-copy fa-lg"></i></div><span> |</span><a class="Reference__fullTextLink___p92ic Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Reference__fullTextLink___p92ic" href="https://doi.org/10.1590/2318-0331.0217170029" tabindex="0" role="link" target="_blank" rel="noopener noreferrer nofollow">View full text</a><span> |</span><a class="Reference__fullTextLink___p92ic Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Reference__fullTextLink___p92ic" tabindex="0" role="button">Cite</a></div></span></span><div class="TitlePaper__widgetContainer___xNQUF"><div class="TitlePaper__delimiter___FdQmc">|</div><div class="Notification__notificationContainer___N06uS " style="opacity:1;pointer-events:auto"><div role="button" class="Notification__notification___rIkeZ" tabindex="0"><div class="Notification__bellIcon___IKprf fa fa-bell"></div><div class="Notification__tooltip___DjoOa Tooltip__reference___hgPSY"><span 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href="/affiliations/rio-de-janeiro-state-university-4zMY">1</a></sup></div><span>, </span></div><div class="Authors__author___TTnHS"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/authors/anderson-amendoeira-namen-1LxY6"><span>Anderson Amendoeira Namen</span></a><div class="Tooltip__reference___hgPSY"><sup class="Authors__affiliationSup___Vvflj"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/affiliations/rio-de-janeiro-state-university-4zMY">2</a></sup></div><span>, </span></div><div class="Authors__author___TTnHS"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/authors/pedro-paulo-gomes-watts-rodrigues-xzaL3"><span>Pedro Paulo Gomes Watts Rodrigues</span></a><div class="Tooltip__reference___hgPSY"><sup class="Authors__affiliationSup___Vvflj"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/affiliations/rio-de-janeiro-state-university-4zMY">3</a></sup></div><span> </span></div></div><div class="TitlePaper__abstractWrapper___S7D_F"><span><h2 class="Header__h2___MuBOH TitlePaper__abstract___GrSZl"><strong>Abstract:</strong>   <span>This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorologica…</span><span class="TitlePaper__expandAbstract___O_45M" role="button" tabindex="0">  Show more</span></h2></span></div><a class="TitlePaper__helpMeCta___oNbp1 Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j TitlePaper__helpMeCta___oNbp1" tabindex="0" role="button">Help me understand this report</a></div></div><div class="ReportDropdown__dropdownMenuContainer___G8S6M"><i class="fa fa-2x fa-ellipsis-h DropdownMenu__dropdownMenuIcon___LGAcI"></i></div></div><div><div class="ReportPanel__mainLayout___kuDP5"><div class="ReportPanel__filtersLayout___KAxUi"><div class="Filters__filters___FcFPI"><div class="Filters__loadingLayout___i7nI3" style="opacity:0;pointer-events:auto"><div data-testid="circle-spinner" class="CircleSpinner__sciteLoadingRing___nlTrH" style="width:80px;height:80px"><div class="CircleSpinner__ringComponent____iKPi" 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";visibility:hidden;white-space:pre;grid-area:1/2;font:inherit;min-width:2px;border:0;margin:0;outline:0;padding:0;}</style><div class=" css-19bb58m" data-value=""><input class="" style="label:input;color:inherit;background:0;opacity:1;width:100%;grid-area:1 / 2;font:inherit;min-width:2px;border:0;margin:0;outline:0;padding:0" autoCapitalize="none" autoComplete="off" autoCorrect="off" id="react-select-60234-input" spellcheck="false" tabindex="0" type="text" aria-autocomplete="list" aria-expanded="false" aria-haspopup="true" role="combobox" value=""/></div></div><style data-emotion="css 1wy0on6">.css-1wy0on6{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;box-sizing:border-box;}</style><div class=" css-1wy0on6"><span class=" css-0"></span><style data-emotion="css 1xc3v61-indicatorContainer">.css-1xc3v61-indicatorContainer{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-transition:color 150ms;transition:color 150ms;color:hsl(0, 0%, 80%);padding:8px;box-sizing:border-box;}.css-1xc3v61-indicatorContainer:hover{color:hsl(0, 0%, 60%);}</style><div class=" css-1xc3v61-indicatorContainer" aria-hidden="true"><style data-emotion="css 8mmkcg">.css-8mmkcg{display:inline-block;fill:currentColor;line-height:1;stroke:currentColor;stroke-width:0;}</style><svg height="20" width="20" viewBox="0 0 20 20" aria-hidden="true" focusable="false" class="css-8mmkcg"><path d="M4.516 7.548c0.436-0.446 1.043-0.481 1.576 0l3.908 3.747 3.908-3.747c0.533-0.481 1.141-0.446 1.574 0 0.436 0.445 0.408 1.197 0 1.615-0.406 0.418-4.695 4.502-4.695 4.502-0.217 0.223-0.502 0.335-0.787 0.335s-0.57-0.112-0.789-0.335c0 0-4.287-4.084-4.695-4.502s-0.436-1.17 0-1.615z"></path></svg></div></div></div></div></div></div></div><div class="FilterCard__filterCard___bZEVP"><div class="FilterCard__noInput___lsgWM"><div class="FilterCard__filterCardHeader___puB2k" role="button" tabindex="0" aria-label="Expand Paper Sections"><div class="FilterCard__tooltip___q395i Tooltip__reference___hgPSY"><p class="FilterCard__header___dRl1u Paragraph__body____m5FY Paragraph__bold___PhFOq">Paper Sections </p><i class="FilterCard__icon___iqNMr fa fa-info-circle"></i></div></div><div><style data-emotion="css b62m3t-container">.css-b62m3t-container{position:relative;box-sizing:border-box;}</style><div class=" css-b62m3t-container"><style data-emotion="css 7pg0cj-a11yText">.css-7pg0cj-a11yText{z-index:9999;border:0;clip:rect(1px, 1px, 1px, 1px);height:1px;width:1px;position:absolute;overflow:hidden;padding:0;white-space:nowrap;}</style><span id="react-select-60235-live-region" class="css-7pg0cj-a11yText"></span><span aria-live="polite" aria-atomic="false" aria-relevant="additions text" class="css-7pg0cj-a11yText"></span><style data-emotion="css 13cymwt-control">.css-13cymwt-control{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;cursor:default;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;min-height:38px;outline:0!important;position:relative;-webkit-transition:all 100ms;transition:all 100ms;background-color:hsl(0, 0%, 100%);border-color:hsl(0, 0%, 80%);border-radius:4px;border-style:solid;border-width:1px;box-sizing:border-box;}.css-13cymwt-control:hover{border-color:hsl(0, 0%, 70%);}</style><div class=" css-13cymwt-control"><style data-emotion="css hlgwow">.css-hlgwow{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:grid;-webkit-flex:1;-ms-flex:1;flex:1;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-overflow-scrolling:touch;position:relative;overflow:hidden;padding:2px 8px;box-sizing:border-box;}</style><div class=" css-hlgwow"><style data-emotion="css 1jqq78o-placeholder">.css-1jqq78o-placeholder{grid-area:1/1/2/3;color:hsl(0, 0%, 50%);margin-left:2px;margin-right:2px;box-sizing:border-box;}</style><div class=" css-1jqq78o-placeholder" id="react-select-60235-placeholder">Select...</div><style data-emotion="css 19bb58m">.css-19bb58m{visibility:visible;-webkit-flex:1 1 auto;-ms-flex:1 1 auto;flex:1 1 auto;display:inline-grid;grid-area:1/1/2/3;grid-template-columns:0 min-content;margin:2px;padding-bottom:2px;padding-top:2px;color:hsl(0, 0%, 20%);box-sizing:border-box;}.css-19bb58m:after{content:attr(data-value) " ";visibility:hidden;white-space:pre;grid-area:1/2;font:inherit;min-width:2px;border:0;margin:0;outline:0;padding:0;}</style><div class=" css-19bb58m" data-value=""><input class="" style="label:input;color:inherit;background:0;opacity:1;width:100%;grid-area:1 / 2;font:inherit;min-width:2px;border:0;margin:0;outline:0;padding:0" autoCapitalize="none" autoComplete="off" autoCorrect="off" id="react-select-60235-input" spellcheck="false" tabindex="0" type="text" aria-autocomplete="list" aria-expanded="false" aria-haspopup="true" role="combobox" aria-describedby="react-select-60235-placeholder" value=""/></div></div><style data-emotion="css 1wy0on6">.css-1wy0on6{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;box-sizing:border-box;}</style><div class=" css-1wy0on6"><style data-emotion="css 1u9des2-indicatorSeparator">.css-1u9des2-indicatorSeparator{-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;width:1px;background-color:hsl(0, 0%, 80%);margin-bottom:8px;margin-top:8px;box-sizing:border-box;}</style><span class=" css-1u9des2-indicatorSeparator"></span><style data-emotion="css 1xc3v61-indicatorContainer">.css-1xc3v61-indicatorContainer{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-transition:color 150ms;transition:color 150ms;color:hsl(0, 0%, 80%);padding:8px;box-sizing:border-box;}.css-1xc3v61-indicatorContainer:hover{color:hsl(0, 0%, 60%);}</style><div class=" css-1xc3v61-indicatorContainer" aria-hidden="true"><style data-emotion="css 8mmkcg">.css-8mmkcg{display:inline-block;fill:currentColor;line-height:1;stroke:currentColor;stroke-width:0;}</style><svg height="20" width="20" viewBox="0 0 20 20" aria-hidden="true" focusable="false" class="css-8mmkcg"><path d="M4.516 7.548c0.436-0.446 1.043-0.481 1.576 0l3.908 3.747 3.908-3.747c0.533-0.481 1.141-0.446 1.574 0 0.436 0.445 0.408 1.197 0 1.615-0.406 0.418-4.695 4.502-4.695 4.502-0.217 0.223-0.502 0.335-0.787 0.335s-0.57-0.112-0.789-0.335c0 0-4.287-4.084-4.695-4.502s-0.436-1.17 0-1.615z"></path></svg></div></div></div></div><div class="CheckRowCount__sectionRow___vyiE6"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " type="checkbox"/><span class="CheckRow__checkRowLabel___ax_ST">Introduction</span></label><span><span>1</span></span></div></div></div></div><div class="FilterCard__filterCard___bZEVP"><div class="FilterCard__noInput___lsgWM"><div class="FilterCard__filterCardHeader___puB2k" role="button" tabindex="0" aria-label="Expand Citation Types"><div class="FilterCard__tooltip___q395i Tooltip__reference___hgPSY"><p class="FilterCard__header___dRl1u Paragraph__body____m5FY Paragraph__bold___PhFOq">Citation Types </p><i class="FilterCard__icon___iqNMr fa fa-info-circle"></i></div></div><div class=""><div class="Classification__row___s1V6w"><div class="Classification__rowLeft___VoLlX"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " type="checkbox"/><span class="CheckRow__checkRowLabel___ax_ST">Supporting</span></label><div class="Classification__rowType___282g8"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--supporting___ru3vm icon-supporting"></i></div></div><div class="Classification__rowRight___Zxitp"><span class="Classification__count___Y86vw">0</span></div></div><div class="Classification__row___s1V6w"><div class="Classification__rowLeft___VoLlX"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " type="checkbox"/><span class="CheckRow__checkRowLabel___ax_ST">Mentioning</span></label><div class="Classification__rowType___282g8"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--mentioning___zHr8j icon-mentioning"></i></div></div><div class="Classification__rowRight___Zxitp"><span class="Classification__count___Y86vw">0</span></div></div><div class="Classification__row___s1V6w"><div class="Classification__rowLeft___VoLlX"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " type="checkbox"/><span class="CheckRow__checkRowLabel___ax_ST">Contrasting</span></label><div class="Classification__rowType___282g8"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--contradicting___BpYwd icon-contradicting"></i></div></div><div class="Classification__rowRight___Zxitp"><span class="Classification__count___Y86vw">0</span></div></div><div class="Classification__row___s1V6w"><div class="Classification__rowLeft___VoLlX"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " type="checkbox"/><span class="CheckRow__checkRowLabel___ax_ST">Unclassified</span></label><div class="Classification__rowType___282g8"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--unclassified___Wc9aa icon-unclassified"></i></div></div><div class="Classification__rowRight___Zxitp"><span class="Classification__count___Y86vw">1</span></div></div></div></div></div><div class="FilterCard__filterCard___bZEVP"><div class="FilterCard__noInput___lsgWM"><div class="FilterCard__filterCardHeader___puB2k" role="button" tabindex="0" aria-label="Expand Year Published"><p class="FilterCard__header___dRl1u Paragraph__body____m5FY Paragraph__bold___PhFOq">Year Published </p></div><div class="Filters__yearRange___mtpTm"><div class="CitationsYearBarChart__barChartContainer___fOCtc"><div class="CitationsYearBarChart__barChart___J1Zgl"><div class="CitationsYearBarChart__bar___QB0KQ" style="width:25%"><div class="CitationsYearBarChart__barContainer___A2gcx Tooltip__reference___hgPSY"><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__supporting___iMyv8" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__contradicting___ZRgkC" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__mentioning___rfif5" style="height:3.028462817142996rem"></div></div></div><div class="CitationsYearBarChart__bar___QB0KQ" style="width:75%"><div class="CitationsYearBarChart__barContainer___A2gcx Tooltip__reference___hgPSY"><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__supporting___iMyv8" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__contradicting___ZRgkC" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__mentioning___rfif5" style="height:0rem"></div></div></div><div class="CitationsYearBarChart__bar___QB0KQ" style="width:25%"><div class="CitationsYearBarChart__barContainer___A2gcx Tooltip__reference___hgPSY"><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__supporting___iMyv8" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__contradicting___ZRgkC" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__mentioning___rfif5" style="height:4.8rem"></div></div></div><div class="CitationsYearBarChart__bar___QB0KQ" style="width:25%"><div class="CitationsYearBarChart__barContainer___A2gcx Tooltip__reference___hgPSY"><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__supporting___iMyv8" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__contradicting___ZRgkC" style="height:NaNrem"></div><div class="CitationsYearBarChart__barPart___aKZ37 CitationsYearBarChart__mentioning___rfif5" style="height:3.028462817142996rem"></div></div></div></div></div><div><div aria-disabled="false" class="undefined InputRangeFilter__range___i8qUt"><span class="InputRangeFilter__hide___cvWG2 input-range__label--min"><span class="input-range__label-container InputRangeFilter__labelContainer___UOzQG">2019</span></span><div class="InputRangeFilter__track___Fdwrd input-range__track--background"><div style="left:0%;width:100%" class="InputRangeFilter__track___Fdwrd InputRangeFilter__activeTrack___Xb3wK"></div><span class="input-range__slider-container" style="position:absolute;left:0%"><span class="InputRangeFilter__label___uyn35 InputRangeFilter__labelValue___vCEiN InputRangeFilter__labelBottom___LxO3k"><span class="input-range__label-container InputRangeFilter__labelContainer___UOzQG">2019</span></span><div aria-valuemax="2024" aria-valuemin="2019" aria-valuenow="2019" class="InputRangeFilter__slider___CpeJ9" draggable="false" role="slider" tabindex="0"></div></span><span class="input-range__slider-container" style="position:absolute;left:100%"><span class="InputRangeFilter__label___uyn35 InputRangeFilter__labelValue___vCEiN InputRangeFilter__labelBottom___LxO3k"><span class="input-range__label-container InputRangeFilter__labelContainer___UOzQG">2024</span></span><div aria-valuemax="2024" aria-valuemin="2019" aria-valuenow="2024" class="InputRangeFilter__slider___CpeJ9" draggable="false" role="slider" tabindex="0"></div></span></div><span class="InputRangeFilter__hide___cvWG2 input-range__label--max"><span class="input-range__label-container InputRangeFilter__labelContainer___UOzQG">2024</span></span></div></div></div></div></div><div class="FilterCard__filterCard___bZEVP"><div class="FilterCard__noInput___lsgWM"><div class="FilterCard__filterCardHeader___puB2k" role="button" tabindex="0" aria-label="Expand Publication Types"><p class="FilterCard__header___dRl1u Paragraph__body____m5FY Paragraph__bold___PhFOq">Publication Types </p></div><div><style data-emotion="css b62m3t-container">.css-b62m3t-container{position:relative;box-sizing:border-box;}</style><div class=" css-b62m3t-container"><style data-emotion="css 7pg0cj-a11yText">.css-7pg0cj-a11yText{z-index:9999;border:0;clip:rect(1px, 1px, 1px, 1px);height:1px;width:1px;position:absolute;overflow:hidden;padding:0;white-space:nowrap;}</style><span id="react-select-60236-live-region" class="css-7pg0cj-a11yText"></span><span aria-live="polite" aria-atomic="false" aria-relevant="additions text" class="css-7pg0cj-a11yText"></span><style data-emotion="css 13cymwt-control">.css-13cymwt-control{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;cursor:default;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;min-height:38px;outline:0!important;position:relative;-webkit-transition:all 100ms;transition:all 100ms;background-color:hsl(0, 0%, 100%);border-color:hsl(0, 0%, 80%);border-radius:4px;border-style:solid;border-width:1px;box-sizing:border-box;}.css-13cymwt-control:hover{border-color:hsl(0, 0%, 70%);}</style><div class=" css-13cymwt-control"><style data-emotion="css hlgwow">.css-hlgwow{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:grid;-webkit-flex:1;-ms-flex:1;flex:1;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-overflow-scrolling:touch;position:relative;overflow:hidden;padding:2px 8px;box-sizing:border-box;}</style><div class=" css-hlgwow"><style data-emotion="css 1jqq78o-placeholder">.css-1jqq78o-placeholder{grid-area:1/1/2/3;color:hsl(0, 0%, 50%);margin-left:2px;margin-right:2px;box-sizing:border-box;}</style><div class=" css-1jqq78o-placeholder" id="react-select-60236-placeholder">Select...</div><style data-emotion="css 19bb58m">.css-19bb58m{visibility:visible;-webkit-flex:1 1 auto;-ms-flex:1 1 auto;flex:1 1 auto;display:inline-grid;grid-area:1/1/2/3;grid-template-columns:0 min-content;margin:2px;padding-bottom:2px;padding-top:2px;color:hsl(0, 0%, 20%);box-sizing:border-box;}.css-19bb58m:after{content:attr(data-value) " 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d="M4.516 7.548c0.436-0.446 1.043-0.481 1.576 0l3.908 3.747 3.908-3.747c0.533-0.481 1.141-0.446 1.574 0 0.436 0.445 0.408 1.197 0 1.615-0.406 0.418-4.695 4.502-4.695 4.502-0.217 0.223-0.502 0.335-0.787 0.335s-0.57-0.112-0.789-0.335c0 0-4.287-4.084-4.695-4.502s-0.436-1.17 0-1.615z"></path></svg></div></div></div></div><div class="CheckRowCount__sectionRow___vyiE6"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " type="checkbox"/><span class="CheckRow__checkRowLabel___ax_ST">Other</span></label><span><span>2</span></span></div><div class="CheckRowCount__sectionRow___vyiE6"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " type="checkbox"/><span class="CheckRow__checkRowLabel___ax_ST">Book</span></label><span><span>2</span></span></div><div class="CheckRowCount__sectionRow___vyiE6"><label class="CheckRow__checkRow___Wumpa"><input class="fa fa-lg fa-check Checkbox__checkbox___dGd5x " 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css-0"></span><style data-emotion="css 1xc3v61-indicatorContainer">.css-1xc3v61-indicatorContainer{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-transition:color 150ms;transition:color 150ms;color:hsl(0, 0%, 80%);padding:8px;box-sizing:border-box;}.css-1xc3v61-indicatorContainer:hover{color:hsl(0, 0%, 60%);}</style><div class=" css-1xc3v61-indicatorContainer" aria-hidden="true"><style data-emotion="css 8mmkcg">.css-8mmkcg{display:inline-block;fill:currentColor;line-height:1;stroke:currentColor;stroke-width:0;}</style><svg height="20" width="20" viewBox="0 0 20 20" aria-hidden="true" focusable="false" class="css-8mmkcg"><path d="M4.516 7.548c0.436-0.446 1.043-0.481 1.576 0l3.908 3.747 3.908-3.747c0.533-0.481 1.141-0.446 1.574 0 0.436 0.445 0.408 1.197 0 1.615-0.406 0.418-4.695 4.502-4.695 4.502-0.217 0.223-0.502 0.335-0.787 0.335s-0.57-0.112-0.789-0.335c0 0-4.287-4.084-4.695-4.502s-0.436-1.17 0-1.615z"></path></svg></div></div></div></div></div></div><div class="CitationsHeader__settingsButtonLayout___SCS1l"><button class="SettingsButton__btn___P6KmW Button__btn___k1xtO Button__btn--transparent___XnBIC Button__size--medium___yX63r Button__tiny___hya9X" aria-label="Settings button"><i class="SettingsButton__icon___w15lK fa fa-sliders-h"></i><span>Settings</span></button></div></div><div class="PapersList__citationList___nW0RR"><div style="opacity:1;pointer-events:auto"><div class="PaperCard__paperCard___Tkx_L PaperCard__card___rYfBl"><div><div><div class="Citation__citation___I7BGj Citation__citationGrid___yNzom"><div class="Citation__rightCol___rqdSW"><div class="Citation__snippetLayout___VCTXv"><div class="Snippet__snippetWrapper___pL8c1"><span><span><div>“…A irriga莽茫o apropriada e a sua consequente medi莽茫o tem uma import芒ncia vital para a produ莽茫o agr铆cola, pois culturas subirrigadas ou sobre irrigadas apresentam rendimentos de safras menores <cite class="target" data-doi="10.1590/2318-0331.0217170029">(CHARLES;</cite><cite data-doi="10.1590/2318-0331.0217170029">NAMEN;</cite><cite data-doi="10.1590/2318-0331.0217170029">RODRIGUES, 2017)</cite>. Um modelo de irriga莽茫o que possa utilizar a previs茫o meteorol贸gica de chuvas e desta forma reduzir o volume de 谩gua irrigada, e as suas consequentes perdas, associado a dispositivos de medi莽茫o dos par芒metros do solo e do ambiente que tenham influ锚ncia direta no desenvolvimento da cultura, poder谩 tornar o processo de irriga莽茫o agr铆cola mais eficiente, apresentando-se como uma solu莽茫o ao problema do uso adequado dos recursos h铆dricos e tamb茅m do aumento da demanda alimentar mundial.…”</div></span></span></div></div><div class="Citation__citeInfo___v24kU"><span class="Citation__section___YjAW3"><b>Section</b>: Introduction</span><span class="Citation__typeInfo___s7iNF"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--unclassified___Wc9aa icon-unclassified"></i><span class="Citation__citationType___LuRbr">unclassified</span><div class="Tooltip__reference___hgPSY"><i class="Citation__infoIcon___V3_f_ fa fa-info-circle"></i></div></span></div></div><div class="Citation__actions___STMoF"><div class="Tooltip__reference___hgPSY"><i class="CopyButton__copyButton___I1ybw fa fa-copy" role="button" tabindex="0"></i></div></div></div></div><div aria-hidden="true" class="PaperCard__expandingWrapper___JmHu_" style="overflow:hidden;height:0;opacity:0"><div style="width:fit-content"></div></div></div><div class="PaperCard__grid___NMQAD"><div class="PaperCard__abstractWrapper___Yq394"><div class="Paper__paper___CWi0y"><a class="Paper__title___WkJQP Link__link___plGt2 Link__bold___JGJNO Paper__title___WkJQP" tabindex="0" href="/reports/uso-de-sistema-de-controle-2N0O25w1"><h3 class="Paper__title___WkJQP">Uso de sistema de controle fuzzy e internet das coisas para irriga莽茫o na agricultura de precis茫o</h3></a><div class="Paper__referenceLine___quVTP"><div class="Authors__authors___uWMEz Paper__lineItem___FXrg7"><div class="Authors__author___TTnHS"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/authors/gilberto-francisco-martha-de-souza-kZ35O3"><span>Souza</span></a><sup class="Authors__affiliationSup___Vvflj">1</sup><span> </span></div></div><span class="Paper__lineItem___FXrg7"><span class="Reference__reference___AIzFu"><span></span></span></span></div><div class="Paper__tallyLayout___k19c4"><a class="HorizontalTally__horizontalTally___gMrpx" href="/reports/uso-de-sistema-de-controle-2N0O25w1"><div class="HorizontalTally__inner___AzKR8"><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--publications___MBaqU icon-publications"></i><span class="HorizontalTally__count___ZuxQA">1</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--supporting___ru3vm icon-supporting"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--mentioning___zHr8j icon-mentioning"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--contradicting___BpYwd icon-contradicting"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div></div></a></div><div class="Paper__linksLayout___Ql9Qd"><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" href="https://doi.org/10.31414/ee.2021.d.131319" tabindex="0" role="link" target="_blank" rel="noopener noreferrer nofollow">View full text</a><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" tabindex="0" role="button">Add to dashboard</a><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" tabindex="0" role="button">Cite</a></div></div><div aria-hidden="true" style="overflow:hidden;height:0;opacity:0"><div style="width:auto"><p class="Abstract__abstract___V8wNr PaperCard__abstract___lR5RS Paragraph__body____m5FY"><span><span>World agriculture will face the challenge of guaranteeing the food security of 9 billion people in the 2050s. Given this, it is essential to develop new farming techniques aimed at increasing food production and also the sustainable maintenance of natural resources and the environment. To produce food in the right quantity, at the right time, and affordable prices, farmers must adopt precision farming models to increase the food production amount. Precision agriculture uses agricultural management techniques based on the measurement and control of crop parameters such as soil moisture, air temperature, and the irrigation control. In this context, agricultural irrigation accounts for the greater consumption of freshwater available for use on the planet. Adopting techniques that allow increasing agricultural production, reducing irrigated water amount and waste, becomes crucial and the most appropriate responses are the implementation of solutions using Artificial Intelligence. This work uses a Precision Irrigation model, with the rain forecast as a complement to the irrigation process, to keep the soil moisture at an appropriate level for the sweet pepper culture. A fuzzy inference system was used in the the irrigation prescription amount, with the climatic data acquisition made through IoT devices installed in the crop field, maximizing soil wetting through rainfall and reducing irrigated water amount. The average reduction of 16% in irrigation, obtained in simulations and real experiments, indicates a good response of the model to the proposed objective</span></span></p></div></div></div><div class="PaperCard__menu___wXkM0"><a class="PaperCard__textButton___ncs_Z" tabindex="0">show abstract</a><div class=""><i class="fa fa-2x fa-ellipsis-h DropdownMenu__dropdownMenuIcon___LGAcI"></i></div></div></div></div><div class="PapersList__paywalledCites___XIuJQ"><div class="PapersList__paperCardsLayout___dtzN9"><div class="PaperCard__paperCard___Tkx_L PaperCard__card___rYfBl"><div><div><div class="Citation__citation___I7BGj Citation__citationGrid___yNzom"><div class="Citation__rightCol___rqdSW"><div class="Citation__snippetLayout___VCTXv"><div class="Snippet__snippetWrapper___pL8c1"><span><span><div>“…A irriga莽茫o apropriada e a sua consequente medi莽茫o tem uma import芒ncia vital para a produ莽茫o agr铆cola, pois culturas subirrigadas ou sobre irrigadas apresentam rendimentos de safras menores <cite class="target" data-doi="10.1590/2318-0331.0217170029">(CHARLES;</cite><cite data-doi="10.1590/2318-0331.0217170029">NAMEN;</cite><cite data-doi="10.1590/2318-0331.0217170029">RODRIGUES, 2017)</cite>. Um modelo de irriga莽茫o que possa utilizar a previs茫o meteorol贸gica de chuvas e desta forma reduzir o volume de 谩gua irrigada, e as suas consequentes perdas, associado a dispositivos de medi莽茫o dos par芒metros do solo e do ambiente que tenham influ锚ncia direta no desenvolvimento da cultura, poder谩 tornar o processo de irriga莽茫o agr铆cola mais eficiente, apresentando-se como uma solu莽茫o ao problema do uso adequado dos recursos h铆dricos e tamb茅m do aumento da demanda alimentar mundial.…”</div></span></span></div></div><div class="Citation__citeInfo___v24kU"><span class="Citation__section___YjAW3"><b>Section</b>: Introduction</span><span class="Citation__typeInfo___s7iNF"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--unclassified___Wc9aa icon-unclassified"></i><span class="Citation__citationType___LuRbr">unclassified</span><div class="Tooltip__reference___hgPSY"><i class="Citation__infoIcon___V3_f_ fa fa-info-circle"></i></div></span></div></div><div class="Citation__actions___STMoF"><div class="Tooltip__reference___hgPSY"><i class="CopyButton__copyButton___I1ybw fa fa-copy" role="button" tabindex="0"></i></div></div></div></div><div aria-hidden="true" class="PaperCard__expandingWrapper___JmHu_" style="overflow:hidden;height:0;opacity:0"><div style="width:fit-content"></div></div></div><div class="PaperCard__grid___NMQAD"><div class="PaperCard__abstractWrapper___Yq394"><div class="Paper__paper___CWi0y"><a class="Paper__title___WkJQP Link__link___plGt2 Link__bold___JGJNO Paper__title___WkJQP" tabindex="0" href="/reports/uso-de-sistema-de-controle-2N0O25w1"><h3 class="Paper__title___WkJQP">Uso de sistema de controle fuzzy e internet das coisas para irriga莽茫o na agricultura de precis茫o</h3></a><div class="Paper__referenceLine___quVTP"><div class="Authors__authors___uWMEz Paper__lineItem___FXrg7"><div class="Authors__author___TTnHS"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/authors/gilberto-francisco-martha-de-souza-kZ35O3"><span>Souza</span></a><sup class="Authors__affiliationSup___Vvflj">1</sup><span> </span></div></div><span class="Paper__lineItem___FXrg7"><span class="Reference__reference___AIzFu"><span></span></span></span></div><div class="Paper__tallyLayout___k19c4"><a class="HorizontalTally__horizontalTally___gMrpx" href="/reports/uso-de-sistema-de-controle-2N0O25w1"><div class="HorizontalTally__inner___AzKR8"><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--publications___MBaqU icon-publications"></i><span class="HorizontalTally__count___ZuxQA">1</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--supporting___ru3vm icon-supporting"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--mentioning___zHr8j icon-mentioning"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--contradicting___BpYwd icon-contradicting"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div></div></a></div><div class="Paper__linksLayout___Ql9Qd"><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" href="https://doi.org/10.31414/ee.2021.d.131319" tabindex="0" role="link" target="_blank" rel="noopener noreferrer nofollow">View full text</a><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" tabindex="0" role="button">Add to dashboard</a><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" tabindex="0" role="button">Cite</a></div></div><div aria-hidden="true" style="overflow:hidden;height:0;opacity:0"><div style="width:auto"><p class="Abstract__abstract___V8wNr PaperCard__abstract___lR5RS Paragraph__body____m5FY"><span><span>World agriculture will face the challenge of guaranteeing the food security of 9 billion people in the 2050s. Given this, it is essential to develop new farming techniques aimed at increasing food production and also the sustainable maintenance of natural resources and the environment. To produce food in the right quantity, at the right time, and affordable prices, farmers must adopt precision farming models to increase the food production amount. Precision agriculture uses agricultural management techniques based on the measurement and control of crop parameters such as soil moisture, air temperature, and the irrigation control. In this context, agricultural irrigation accounts for the greater consumption of freshwater available for use on the planet. Adopting techniques that allow increasing agricultural production, reducing irrigated water amount and waste, becomes crucial and the most appropriate responses are the implementation of solutions using Artificial Intelligence. This work uses a Precision Irrigation model, with the rain forecast as a complement to the irrigation process, to keep the soil moisture at an appropriate level for the sweet pepper culture. A fuzzy inference system was used in the the irrigation prescription amount, with the climatic data acquisition made through IoT devices installed in the crop field, maximizing soil wetting through rainfall and reducing irrigated water amount. The average reduction of 16% in irrigation, obtained in simulations and real experiments, indicates a good response of the model to the proposed objective</span></span></p></div></div></div><div class="PaperCard__menu___wXkM0"><a class="PaperCard__textButton___ncs_Z" tabindex="0">show abstract</a><div class=""><i class="fa fa-2x fa-ellipsis-h DropdownMenu__dropdownMenuIcon___LGAcI"></i></div></div></div></div><div class="PaperCard__paperCard___Tkx_L PaperCard__card___rYfBl"><div><div></div><div aria-hidden="true" class="PaperCard__expandingWrapper___JmHu_" style="overflow:hidden;height:0;opacity:0"><div style="width:fit-content"></div></div></div><div class="PaperCard__grid___NMQAD"><div class="PaperCard__abstractWrapper___Yq394"><div class="Paper__paper___CWi0y"><a class="Paper__title___WkJQP Link__link___plGt2 Link__bold___JGJNO Paper__title___WkJQP" tabindex="0" href="/reports/the-convergence-of-digital-twin-V09jkNZE"><h3 class="Paper__title___WkJQP">The convergence of digital twin, Internet of Things, and artificial intelligence: digital smart farming</h3></a><div class="Paper__referenceLine___quVTP"><div class="Authors__authors___uWMEz Paper__lineItem___FXrg7"><div class="Authors__author___TTnHS"><span>Yadav</span><span>, </span></div><div class="Authors__author___TTnHS"><span>Dar</span><span>, </span></div><div class="Authors__author___TTnHS"><span>Dhumane</span><span> </span></div><span class="Authors__link___k07oy">et al.</span><span> 2023</span></div><span class="Paper__lineItem___FXrg7"><span class="Reference__reference___AIzFu"><span><a class="Link__link___plGt2 Link__underline___K1Y7j" tabindex="0" role="button"><em>Digital Twin for Smart Manufacturing</em></a></span></span></span></div><div class="Paper__tallyLayout___k19c4"><a class="HorizontalTally__horizontalTally___gMrpx" href="/reports/the-convergence-of-digital-twin-V09jkNZE"><div class="HorizontalTally__inner___AzKR8"><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--publications___MBaqU icon-publications"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--supporting___ru3vm icon-supporting"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--mentioning___zHr8j icon-mentioning"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--contradicting___BpYwd icon-contradicting"></i><span class="HorizontalTally__count___ZuxQA">0</span></div></div></div></a></div><div class="Paper__linksLayout___Ql9Qd"><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" href="https://doi.org/10.1016/b978-0-323-99205-3.00007-9" tabindex="0" role="link" target="_blank" rel="noopener noreferrer nofollow">View full text</a><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" tabindex="0" role="button">Add to dashboard</a><a class="Paper__link___YsYPi Link__link___plGt2 Link__blueLink___BhE5_ Link__underline___K1Y7j Paper__link___YsYPi" tabindex="0" role="button">Cite</a></div></div><div aria-hidden="true" style="overflow:hidden;height:0;opacity:0"><div style="width:auto"><p class="Abstract__abstract___V8wNr Abstract__noAbstract___b7A9r PaperCard__abstract___lR5RS Paragraph__body____m5FY">No abstract</p></div></div></div><div class="PaperCard__menu___wXkM0"><div class=""><i class="fa fa-2x fa-ellipsis-h DropdownMenu__dropdownMenuIcon___LGAcI"></i></div></div></div></div><div class="PaperCard__paperCard___Tkx_L PaperCard__card___rYfBl"><div><div></div><div aria-hidden="true" class="PaperCard__expandingWrapper___JmHu_" style="overflow:hidden;height:0;opacity:0"><div style="width:fit-content"></div></div></div><div class="PaperCard__grid___NMQAD"><div class="PaperCard__abstractWrapper___Yq394"><div class="Paper__paper___CWi0y"><a class="Paper__title___WkJQP Link__link___plGt2 Link__bold___JGJNO Paper__title___WkJQP" tabindex="0" href="/reports/a-digital-twin-for-smart-r62l1L3Q"><h3 class="Paper__title___WkJQP">A digital twin for smart farming</h3></a><div class="Paper__referenceLine___quVTP"><div class="Authors__authors___uWMEz Paper__lineItem___FXrg7"><div class="Authors__author___TTnHS"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/authors/rafael-gomes-alves-kvY6zw"><span>Alves</span></a><div class="Tooltip__reference___hgPSY"><sup class="Authors__affiliationSup___Vvflj"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/affiliations/centro-universitario-da-fei-Xg29">1</a></sup></div><span>, </span></div><div class="Authors__author___TTnHS"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/authors/gilberto-rostirolla-batista-de-souza-11MxG0"><span>Souza</span></a><div class="Tooltip__reference___hgPSY"><sup class="Authors__affiliationSup___Vvflj"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/affiliations/centro-universitario-da-fei-Xg29">2</a></sup></div><span>, </span></div><div class="Authors__author___TTnHS"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/authors/rodrigo-filev-maia-XeNN3E"><span>Maia</span></a><div class="Tooltip__reference___hgPSY"><sup class="Authors__affiliationSup___Vvflj"><a class="Link__link___plGt2 Link__blueLink___BhE5_" tabindex="0" href="/affiliations/centro-universitario-da-fei-Xg29">3</a></sup></div><span> </span></div><span class="Authors__link___k07oy">et al.</span><span> 2019</span></div><span class="Paper__lineItem___FXrg7"><span class="Reference__reference___AIzFu"><span><a class="Link__link___plGt2 Link__underline___K1Y7j" tabindex="0" role="button"><em>2019 IEEE Global Humanitarian Technology Conference (GHTC)</em></a></span></span></span></div><div class="Paper__tallyLayout___k19c4"><a class="HorizontalTally__horizontalTally___gMrpx" href="/reports/a-digital-twin-for-smart-r62l1L3Q"><div class="HorizontalTally__inner___AzKR8"><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined TypeIcon__typeIcon___USGCh icon TypeIcon__typeIcon--publications___MBaqU icon-publications"></i><span class="HorizontalTally__count___ZuxQA">86</span></div></div><div class="HorizontalTally__column___d6ltY"><div class="Tooltip__reference___hgPSY"><i class="undefined 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All rights reserved.</p><p class="Paragraph__small___OZxzF">Made with 馃挋 for researchers</p><div class="Footer__rsssFamily___jPDL1"><p class="Footer__rsssBlurb___XhmEW Paragraph__small___OZxzF">Part of the Research Solutions Family.</p><img src="https://cdn.scite.ai/assets/images/logo-rs-black-new.png" class="Footer__rsssLogo___bG803"/></div></div></div></div><div style="position:fixed;z-index:9999"></div></div><div id="scite-tooltips"></div><script type="application/javascript">window.__SCITE_STORE_STATE = {"addReportDashboardModal":{"selectedPapers":[]},"ui":{"referralPartner":null,"freeReports":0,"bannerContent":null,"bannerClosed":false,"navMenu":{},"createDashboardFromSearchResultsModalShow":false,"savedSearchModalShow":false,"searchFilterModalShow":false,"flagModalShow":false,"resetPasswordModalShow":false,"loginModalShow":false,"referenceCheckModalShow":false,"deleteDashboardModalShow":false,"addReportToDashboardModalShow":false,"shareDashboardModalShow":false,"editDashboardModalShow":false,"upgradeModalShow":false,"exportReportModalShow":false,"exportReferenceModalShow":false,"generateCitationModalShow":false,"exportDashboardModalShow":false,"dashboardLimitErrorModalShow":false,"whatIsThisReportModalShow":false,"whatIsThisSearchModalShow":false,"whatIsAssistantModalShow":false,"trialOverModalShow":false,"activateTrialModalShow":false,"cancelTrialCheckoutModalShow":false,"cookieModalShow":false,"personaModalShow":false,"loggedOutModalShow":true,"modalFromContext":"","shownModals":[],"hasUser":false,"user":null,"ipLocationData":{"data":null,"error":false,"loading":false},"fetchingUser":false,"savingUser":false,"saveUserError":false,"onboardingLoadTracker":{"state":undefined},"userEntitlements":null,"entitlementsLoading":false,"referralsLoading":false,"pageError":null,"browser":null,"extensionLoaded":false,"organizationLicense":{"hasLicense":false},"linkResolver":null,"sickoMode":false,"authors":[],"navOpen":false,"showMobileSearch":false,"redeemCodeLoading":false,"redeemCodeError":null,"redeemCodeSuccess":false,"applyDiscountLoading":false,"applyDiscountError":null,"applyDiscountSuccess":false,"userDiscount":null,"search":{"term":"","focused":false,"autocompletesLoadTracker":{},"autocompletes":{}},"referencesToExport":[],"citeGeneratorPaperData":{},"dimensions":{},"cookiePreference":null,"userChurnKey":null,"churnKeyLoading":false,"fullTextLinkState":{},"agAvailabilityState":{},"agAvailabilityQueue":[]},"verifyEmail":{"loading":false,"verified":false,"expired":false},"dashboard":{"id":"","name":"","displayName":"","normalizedName":"","description":"","slug":"","dashboardType":"","accessType":"","isPublic":null,"componentLayout":[],"doiQuery":{},"journalMetadata":{},"affiliationMetadata":{},"institutionMetadata":{},"haveAccessToDashboard":null,"lastUpdated":null,"doisUpdatedTS":null,"doisRefreshedTS":null,"refreshStatus":"","loadState":{},"deleteDashboardError":false,"deletingDashboard":false,"totalDoiCount":0,"matchedDoiCount":0,"unmatchedDoiCount":0,"exportLoadTracker":{},"setDashboardUsersLoading":false,"setDashboardUsersError":false,"setDashboardUsersSuccess":false,"dashboardAccessList":null,"getDashboardAccessListLoading":false,"getDashboardAccessListSuccess":false,"getDashboardAccessListError":false},"notifications":{"notifications":[],"loading":false,"error":null,"notificationItems":[],"notificationItemsLoading":false,"notificationItemsError":null,"notificationItemsPage":1,"notificationItemsTotal":0,"newNotificationItems":0,"notificationItemsFilters":{},"dropDownNotificationItems":[],"dropDownNotificationItemsLoading":false,"dropDownNotificationItemsError":null,"notificationSetStatusLoading":false,"notificationSetStatusError":null},"report":{"paper":"10.1590\u002F2318-0331.0217170029","tally":"10.1590\u002F2318-0331.0217170029","citations":[{"id":2440930343,"source":"10.31414\u002Fee.2021.d.131319","target":"10.1590\u002F2318-0331.0217170029","negative":0.015189955383539198,"positive":0.0076299081556499004,"neutral":1,"section":"introduction","type":"unclassified","snippet":"A irriga莽茫o apropriada e a sua consequente medi莽茫o tem uma import芒ncia vital para a produ莽茫o agr铆cola, pois culturas subirrigadas ou sobre irrigadas apresentam rendimentos de safras menores \u003Ccite data-doi=\"10.1590\u002F2318-0331.0217170029\"\u003E(CHARLES;\u003C\u002Fcite\u003E\u003Ccite data-doi=\"10.1590\u002F2318-0331.0217170029\"\u003ENAMEN;\u003C\u002Fcite\u003E\u003Ccite data-doi=\"10.1590\u002F2318-0331.0217170029\"\u003ERODRIGUES, 2017)\u003C\u002Fcite\u003E. Um modelo de irriga莽茫o que possa utilizar a previs茫o meteorol贸gica de chuvas e desta forma reduzir o volume de 谩gua irrigada, e as suas consequentes perdas, associado a dispositivos de medi莽茫o dos par芒metros do solo e do ambiente que tenham influ锚ncia direta no desenvolvimento da cultura, poder谩 tornar o processo de irriga莽茫o agr铆cola mais eficiente, apresentando-se como uma solu莽茫o ao problema do uso adequado dos recursos h铆dricos e tamb茅m do aumento da demanda alimentar mundial.","lang":"pt","langConfidence":"0.9900000095367432","refLocation":"b27\u002F1","memberId":16443,"selfCites":[],"snippetHidden":false},{"source":"10.1016\u002Fb978-0-323-99205-3.00007-9","target":"10.1590\u002F2318-0331.0217170029","selfCites":[],"dataSource":"CR"},{"source":"10.1109\u002Fghtc46095.2019.9033075","target":"10.1590\u002F2318-0331.0217170029","selfCites":[],"dataSource":"OPENALEX"},{"source":"10.1590\u002F1807-1929\u002Fagriambi.v28n11e281001","target":"10.1590\u002F2318-0331.0217170029","selfCites":[],"dataSource":"CR"},{"source":"10.4018\u002F978-1-6684-6821-0.ch025","target":"10.1590\u002F2318-0331.0217170029","selfCites":[],"dataSource":"CR"}],"citationTallies":{"10.31414\u002Fee.2021.d.131319":{"total":0,"supporting":0,"contradicting":0,"mentioning":0,"unclassified":0,"doi":"10.31414\u002Fee.2021.d.131319","citingPublications":1},"10.1016\u002Fb978-0-323-99205-3.00007-9":{"total":0,"supporting":0,"contradicting":0,"mentioning":0,"unclassified":0,"doi":"10.1016\u002Fb978-0-323-99205-3.00007-9","citingPublications":0},"10.1109\u002Fghtc46095.2019.9033075":{"total":67,"supporting":0,"contradicting":0,"mentioning":67,"unclassified":0,"doi":"10.1109\u002Fghtc46095.2019.9033075","citingPublications":86},"10.1590\u002F1807-1929\u002Fagriambi.v28n11e281001":{"total":0,"supporting":0,"contradicting":0,"mentioning":0,"unclassified":0,"doi":"10.1590\u002F1807-1929\u002Fagriambi.v28n11e281001","citingPublications":0},"10.4018\u002F978-1-6684-6821-0.ch025":{"total":0,"supporting":0,"contradicting":0,"mentioning":0,"unclassified":0,"doi":"10.4018\u002F978-1-6684-6821-0.ch025","citingPublications":0}},"metadata":{"totalCitationCount":1,"restrictedCitationCount":5,"distinctSourceCount":5,"totalReferenceStatementsCount":18},"papers":{"10.31414\u002Fee.2021.d.131319":{"id":10432814776,"doi":"10.31414\u002Fee.2021.d.131319","slug":"uso-de-sistema-de-controle-2N0O25w1","type":"dissertation","title":"Uso de sistema de controle fuzzy e internet das coisas para irriga莽茫o na agricultura de precis茫o","abstract":"World agriculture will face the challenge of guaranteeing the food security of 9 billion people in the 2050s. Given this, it is essential to develop new farming techniques aimed at increasing food production and also the sustainable maintenance of natural resources and the environment. To produce food in the right quantity, at the right time, and affordable prices, farmers must adopt precision farming models to increase the food production amount. Precision agriculture uses agricultural management techniques based on the measurement and control of crop parameters such as soil moisture, air temperature, and the irrigation control. In this context, agricultural irrigation accounts for the greater consumption of freshwater available for use on the planet. Adopting techniques that allow increasing agricultural production, reducing irrigated water amount and waste, becomes crucial and the most appropriate responses are the implementation of solutions using Artificial Intelligence. This work uses a Precision Irrigation model, with the rain forecast as a complement to the irrigation process, to keep the soil moisture at an appropriate level for the sweet pepper culture. A fuzzy inference system was used in the the irrigation prescription amount, with the climatic data acquisition made through IoT devices installed in the crop field, maximizing soil wetting through rainfall and reducing irrigated water amount. The average reduction of 16% in irrigation, obtained in simulations and real experiments, indicates a good response of the model to the proposed objective","authors":[{"family":"Souza","given":"Gilberto Francisco Martha de","authorSlug":"gilberto-francisco-martha-de-souza-kZ35O3","authorName":"Gilberto Francisco Martha de Souza","authorID":"8225324","authorLastKnownAffiliationId":10550,"authorSequenceNumber":1}],"keywords":["Precision Irrigation","Fuzzy","IoT"],"publisher":"Fundaco Educaional Inaciana Pe Saboia De Medeiros","memberId":16443,"issns":[],"editorialNotices":[],"preprintLinks":[],"publicationLinks":[],"normalizedTypes":["other"]},"10.1016\u002Fb978-0-323-99205-3.00007-9":{"id":11897984138,"doi":"10.1016\u002Fb978-0-323-99205-3.00007-9","slug":"the-convergence-of-digital-twin-V09jkNZE","type":"book-chapter","title":"The convergence of digital twin, Internet of Things, and artificial intelligence: digital smart farming","authors":[{"family":"Yadav","given":"Shipra"},{"family":"Dar","given":"Amir Ahmad"},{"family":"Dhumane","given":"Pankaj"},{"family":"Keshao","given":"D. Kalaskar"}],"year":2023,"publisher":"Elsevier","page":"135-144","memberId":78,"issns":[],"editorialNotices":[],"journal":"Digital Twin for Smart Manufacturing","preprintLinks":[],"publicationLinks":[],"normalizedTypes":["book"]},"10.1109\u002Fghtc46095.2019.9033075":{"id":9294265073,"doi":"10.1109\u002Fghtc46095.2019.9033075","slug":"a-digital-twin-for-smart-r62l1L3Q","type":"proceedings-article","title":"A digital twin for smart farming","authors":[{"family":"Alves","given":"Rafael Gomes","affiliation":"Centro Universit谩rio da FEI","authorSlug":"rafael-gomes-alves-kvY6zw","authorName":"Rafael Gomes Alves","authorID":"11753224","authorLastKnownAffiliationId":9585,"authorSequenceNumber":1,"affiliationSlug":"centro-universitario-da-fei-Xg29","affiliationID":"9585"},{"family":"Souza","given":"Gilberto Rostirolla Batista de","affiliation":"Centro Universit谩rio da FEI","authorSlug":"gilberto-rostirolla-batista-de-souza-11MxG0","authorName":"Gilberto Rostirolla Batista de Souza","authorID":"17661291","authorLastKnownAffiliationId":4959,"authorSequenceNumber":2,"affiliationSlug":"centro-universitario-da-fei-Xg29","affiliationID":"9585"},{"family":"Maia","given":"Rodrigo Filev","affiliation":"Centro Universit谩rio da FEI","authorSlug":"rodrigo-filev-maia-XeNN3E","authorName":"Rodrigo Filev Maia","authorID":"8193641","authorLastKnownAffiliationId":26389,"authorSequenceNumber":3,"affiliationSlug":"centro-universitario-da-fei-Xg29","affiliationID":"9585"},{"family":"Tran","given":"Anh","affiliation":"Coventry University","authorSlug":"anh-tran-5vZPR","authorName":"Anh Tran","authorID":"2914125","authorLastKnownAffiliationId":19144,"authorSequenceNumber":4,"affiliationSlug":"coventry-university-L6Vr","affiliationID":"25684"},{"family":"Kamienski","given":"Carlos","affiliation":"Universidade Federal do ABC","authorSlug":"carlos-kamienski-68AMNV","authorName":"Carlos Kamienski","authorID":"6904510","authorLastKnownAffiliationId":6121,"authorSequenceNumber":5,"affiliationSlug":"universidade-federal-do-abc-8V6m","affiliationID":"6121"},{"family":"Soininen","given":"Juha-Pekka","affiliation":"VTT Technical Research Centre of Finland","authorSlug":"juha-pekka-soininen-aXD8zp","authorName":"Juha-Pekka Soininen","authorID":"6652483","authorLastKnownAffiliationId":4959,"authorSequenceNumber":6,"affiliationSlug":"vtt-technical-research-centre-of-bO5R","affiliationID":"4959"},{"family":"Aquino","given":"Pl铆nio Thomaz","affiliation":"Centro Universit谩rio da FEI","authorSlug":"plinio-thomaz-aquino-NMKDbw","authorName":"Pl铆nio Thomaz Aquino","authorID":"9023471","authorLastKnownAffiliationId":9585,"authorSequenceNumber":7,"affiliationSlug":"centro-universitario-da-fei-Xg29","affiliationID":"9585"},{"family":"Lima","given":"F谩bio","affiliation":"Centro Universit谩rio da FEI","authorSlug":"fabio-lima-nglVjk","authorName":"F谩bio Lima","authorID":"8467177","authorLastKnownAffiliationId":10550,"authorSequenceNumber":8,"affiliationSlug":"centro-universitario-da-fei-Xg29","affiliationID":"9585"}],"year":2019,"publisher":"IEEE","page":"1-4","retracted":false,"memberId":263,"issns":[],"editorialNotices":[],"journal":"2019 IEEE Global Humanitarian Technology Conference (GHTC)","preprintLinks":[],"publicationLinks":[],"normalizedTypes":["other"]},"10.1590\u002F1807-1929\u002Fagriambi.v28n11e281001":{"id":12372080541,"doi":"10.1590\u002F1807-1929\u002Fagriambi.v28n11e281001","slug":"estimating-energy-efficiency-of-the-XxQZVybA","type":"journal-article","title":"Estimating energy efficiency of the aeration process of stored grains through machine learning","abstract":"Aeration is carried out by blowing external air into the silo, with the aim to keep the temperature in the mass of stored grains at safe levels. In the present study, the energy efficiency of aeration of stored sunflower grains was estimated, and a model was proposed and tested to estimate the energy efficiency of aeration, using different algorithms in supervised and unsupervised machine learning. The objective of the work was to develop a Web application based on data mining and modeling with machine learning. The database was composed of information on the average temperature at the height of the sensors, average temperature of the silo, external ambient temperature, occurrence of aeration, if there was cooling, heating and direct heating during aeration, and the energy efficiency of the aeration process. The model for estimating the energy efficiency of the aeration process proved to be efficient, identifying that the energy efficiency was 97.78% during the aeration of stored sunflower grains. Among the classifier algorithms tested, Support Vector Machine (SVM-Poly) showed the best metrics and indicators, hence being recommended for implementation in system development networks capable of predicting the aeration status of stored grains.","authors":[{"family":"Ferreira Junior","given":"Weder N.","orcid":"0000-0002-2931-9352","affiliation":"Instituto Federal de Educa莽茫o, Ci锚ncia e Tecnologia Goiano, Brazil"},{"family":"Resende","given":"Osvaldo","orcid":"0000-0001-5089-7846","affiliation":"Instituto Federal de Educa莽茫o, Ci锚ncia e Tecnologia Goiano, Brazil"},{"family":"Oliveira","given":"Daniela C. de","orcid":"0000-0002-9647-933X","affiliation":"Instituto Federal de Educa莽茫o, Ci锚ncia e Tecnologia Goiano, Brazil"},{"family":"Oliveira","given":"Daniel E. C. de","orcid":"0000-0002-3824-994X","affiliation":"Instituto Federal de Educa莽茫o, Ci锚ncia e Tecnologia Goiano, Brazil"},{"family":"Rosa","given":"Eliv芒nio dos S.","orcid":"0000-0002-9219-9592","affiliation":"Instituto Federal de Educa莽茫o, Ci锚ncia e Tecnologia Goiano, Brazil"}],"year":2024,"shortJournal":"Rev. bras. eng. agr铆c. ambient.","publisher":"FapUNIFESP (SciELO)","issue":"11","volume":"28","memberId":530,"issns":["1807-1929","1415-4366"],"editorialNotices":[],"journalSlug":"revista-brasileira-de-engenharia-agricola-A3LN2","journal":"Revista Brasileira De Engenharia Agr铆cola E Ambiental","preprintLinks":[],"publicationLinks":[],"normalizedTypes":["article"]},"10.4018\u002F978-1-6684-6821-0.ch025":{"id":11629284912,"doi":"10.4018\u002F978-1-6684-6821-0.ch025","slug":"the-convergence-of-digital-twin-0GwkYwGZ","type":"book-chapter","title":"The Convergence of Digital Twin, Internet of Things, and Artificial Intelligence","abstract":"An agricultural digital twin is presented in this research using technologies from the sensing change and smart water management platform projects. Unlike the sensing change project, which created a soil probe, an internet of things is now being developed by the SWAMP project platform for managing water. The authors come to the conclusion that this system is capable of collecting data from the soil probe and displaying it in a dashboard, allowing for the deployment of additional soil probes, as well as other monitoring and controlling devices, to create a fully functional digital twin","authors":[{"family":"Yadav","given":"Shipra Shivkumar","affiliation":"Central Institute for Cotton Research","authorSlug":"shipra-shivkumar-yadav-rYlO3Q","authorName":"Shipra Shivkumar Yadav","authorID":"31320129","authorLastKnownAffiliationId":9387,"authorSequenceNumber":1,"affiliationSlug":"central-institute-for-cotton-research-mDJn","affiliationID":"9387"}],"year":2023,"publisher":"IGI Global","page":"437-446","memberId":2432,"issns":["2327-0411","2327-042X"],"editorialNotices":[],"journal":"Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development","preprintLinks":[],"publicationLinks":[],"normalizedTypes":["book"]},"10.1590\u002F2318-0331.0217170029":{"id":209470472,"doi":"10.1590\u002F2318-0331.0217170029","slug":"comparison-of-data-mining-models-wm8pmee","type":"journal-article","title":"Comparison of data mining models applied to a surface meteorological station","abstract":"This paper presents the application of data mining techniques for pattern identification obtained from the analysis of meteorological variables and their correlation with the occurrence of intense rainfall. The used data were collected between 2008 and 2012 by the surface meteorological station of the Polytechnic Institute of Rio de Janeiro State University, located in Nova Friburgo -RJ, Brazil. The main objective is the automatic prediction related to extreme precipitation events surrounding the meteorological station location one hour prior its occurrence. Classification models were developed based on decision trees and artificial neural networks. The steps of consistency analysis, treatment and data conversion, as well as the computational models used are described, and some metrics are compared in order to identify their effectiveness. The results obtained for the most accurate model presented a rate of 82. 9% of hits related to the prediction of rainfall equal to or greater than 10 mm h -1 one hour prior its occurrence. 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