{"id":122500,"date":"2022-04-27T09:09:07","date_gmt":"2022-04-27T08:09:07","guid":{"rendered":"https:\/\/eurecat.org\/?post_type=avada_portfolio&#038;p=122500"},"modified":"2022-04-27T09:18:54","modified_gmt":"2022-04-27T08:18:54","slug":"predivi","status":"publish","type":"avada_portfolio","link":"https:\/\/eurecat.org\/es\/portfolio-items\/predivi\/","title":{"rendered":"PREDIV\u00cd"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 hundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-overflow:visible;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_2_3 2_3 fusion-two-third fusion-column-first\" style=\"--awb-bg-size:cover;width:65.3333%; margin-right: 4%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-1\" style=\"--awb-text-transform:none;\"><p><img decoding=\"async\" class=\"alignnone size-full wp-image-122505\" src=\"https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447.jpg\" alt=\"\" width=\"850\" height=\"447\" srcset=\"https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447-200x105.jpg 200w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447-300x158.jpg 300w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447-400x210.jpg 400w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447-600x316.jpg 600w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447-768x404.jpg 768w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447-800x421.jpg 800w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/PREDIVI_850x447.jpg 850w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;width:100%;\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-double sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;border-bottom-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-text fusion-text-2\" style=\"--awb-text-transform:none;\"><p><strong>Uso del Big Data para optimizar el volumen de las producciones vitivin\u00edcolas.<\/strong><\/p>\n<p>El proyecto <strong>PREDIV\u00cd<\/strong> tiene como objetivo <strong>mejorar la toma de decisiones relacionadas con las cosechas vitivin\u00edcolas a trav\u00e9s del Big Data<\/strong>.<\/p>\n<p>La cada vez mayor variabilidad del volumen y la calidad de las producciones vitivin\u00edcolas hace que la inversi\u00f3n de recursos y de dedicaci\u00f3n de los equipos t\u00e9cnicos para obtener predicciones de vendimia sea cada vez m\u00e1s elevada. Actualmente, los equipos t\u00e9cnicos utilizan m\u00faltiples sistemas (muestreos, controles de maduraci\u00f3n, aforos, etc.) para averiguar con antelaci\u00f3n las variables mencionadas de volumen y momento \u00f3ptimo de vendimia, pero la fiabilidad de los resultados que estos sistemas aportan tiene mucho potencial de mejora. La gran cantidad de variables que afectan tanto a la calidad como a la cantidad de las producciones (meteorolog\u00eda, caracter\u00edsticas de las parcelas, zonas productivas, etc.) hace que sea muy complejo conseguir unas predicciones fiables con las aproximaciones tradicionales.<\/p>\n<p>En este sentido, <strong>el Big Data<\/strong> <strong>permite combinar un gran volumen de variables meteorol\u00f3gicas hiperlocalizadas<\/strong> (tanto hist\u00f3ricas como predictivas) <strong>y combinarlas con los registros hist\u00f3ricos de producciones y controles de maduraci\u00f3n<\/strong>, entre otras variables. De esta forma, es factible crear <strong>modelos de predicci\u00f3n basados \u200b\u200ben machine learning<\/strong> que sean capaces de mejorar las predicciones que actualmente realizan los equipos t\u00e9cnicos. Otros sectores est\u00e1n utilizando modelos de predicci\u00f3n y se ha demostrado que son capaces de mejorar las predicciones hechas por humanos.<\/p>\n<p>Poder reducir la incertidumbre de cu\u00e1l ser\u00e1 el volumen de producci\u00f3n (ya sea a nivel de parcela, zona de producci\u00f3n, variedad, etc.) o cu\u00e1l ser\u00e1 la evoluci\u00f3n de los diferentes par\u00e1metros cualitativos ayudar\u00e1 a <strong>optimizar la planificaci\u00f3n de la vendimia<\/strong> y, por tanto, a mejorar la toma de decisiones. Estas decisiones est\u00e1n relacionadas principalmente con aspectos de log\u00edstica, volumen de producci\u00f3n, comerciales y de calidad de producci\u00f3n.<\/p>\n<p>Eurecat participa en el proyecto a trav\u00e9s de su <a href=\"https:\/\/eurecat.org\/es\/ambitos-de-conocimiento\/robotica-y-automatizacion\/\" rel=\"noopener\">Unidad de Rob\u00f3tica y Automatizaci\u00f3n<\/a> y de su <a href=\"https:\/\/eurecat.org\/es\/ambitos-de-conocimiento\/applied-artificial-intelligence\/\" rel=\"noopener\">Unidad de Inteligencia Artificial Aplicada<\/a>, que trabajar\u00e1n en el desarrollo de los modelos de predicci\u00f3n.<\/p>\n<p>El proyecto PREDIV\u00cd est\u00e1 coordinado por el cl\u00faster vitivin\u00edcola catal\u00e1n <a href=\"https:\/\/www.innovi.cat\/\" target=\"_blank\" rel=\"noopener\">INNOV\u00cd<\/a>. Adem\u00e1s de Eurecat, el consorcio est\u00e1 formado por <a href=\"https:\/\/www.covides.com\/\" target=\"_blank\" rel=\"noopener\">Covides<\/a>, <a href=\"https:\/\/vitalpesat.com\/\" target=\"_blank\" rel=\"noopener\">ViTalpe<\/a>, <a href=\"https:\/\/unio.coop\/empreses-del-grup\/\" target=\"_blank\" rel=\"noopener\">Uni\u00f3 Corporaci\u00f3 Aliment\u00e0ria<\/a>, <a href=\"https:\/\/incavi.gencat.cat\/\" target=\"_blank\" rel=\"noopener\">Incav\u00ed<\/a> y <a href=\"https:\/\/agrawdata.com\/ca\/\" target=\"_blank\" rel=\"noopener\">Raw Data<\/a>.<\/p>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_3 1_3 fusion-one-third fusion-column-last\" style=\"--awb-bg-size:cover;width:30.6666%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-title title fusion-title-1 fusion-title-text fusion-title-size-three\" style=\"--awb-margin-top-small:0px;--awb-margin-right-small:0px;--awb-margin-bottom-small:20px;--awb-margin-left-small:0px;\"><h3 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\">Datos generales<\/h3><span class=\"awb-title-spacer\"><\/span><div class=\"title-sep-container\"><div class=\"title-sep sep-double sep-solid\" style=\"border-color:#e0dede;\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-text-transform:none;\"><p><strong>Proyecto<\/strong><\/p>\n<p>PREDIV\u00cd &#8211; Modelo de predicci\u00f3n de cosecha vitivin\u00edcola a trav\u00e9s del Big Data<\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-text fusion-text-4\" style=\"--awb-text-transform:none;\"><p><strong>Referencia del proyecto<\/strong><\/p>\n<p>56-21017-2018-2A<\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-text fusion-text-5\" style=\"--awb-text-transform:none;\"><p><strong>Programa y convocatoria<\/strong><\/p>\n<p>Proyecto financiado a trav\u00e9s de la Operaci\u00f3n 16.01.01 de Cooperaci\u00f3n para la innovaci\u00f3n del Programa de desarrollo rural de Catalunya 2014-2020<\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-text fusion-text-6\" style=\"--awb-text-transform:none;\"><p><strong>Web del proyecto<\/strong><\/p>\n<p><a href=\"https:\/\/www.innovi.cat\/predivi\/?lang=es\">https:\/\/www.innovi.cat\/predivi\/?lang=es<\/a><\/p>\n<\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:0px;margin-bottom:10px;width:100%;\"><div class=\"fusion-separator-border sep-single sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:#e0dede;border-top-width:1px;\"><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;margin-top:10px;margin-bottom:10px;width:100%;\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-image-element fusion-image-align-center in-legacy-container\" style=\"text-align:center;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><div class=\"imageframe-align-center\"><span class=\" fusion-imageframe imageframe-none imageframe-1 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/ec.europa.eu\/info\/food-farming-fisheries\/key-policies\/common-agricultural-policy\/rural-development_en\" target=\"_self\" aria-label=\"Fons Europeu Agr\u00edcola\"><img decoding=\"async\" width=\"300\" height=\"51\" src=\"https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/Fons-Europeu-Agricola.png\" alt class=\"img-responsive wp-image-122508\" srcset=\"https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/Fons-Europeu-Agricola-200x34.png 200w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/Fons-Europeu-Agricola.png 300w\" sizes=\"(max-width: 800px) 100vw, 300px\" \/><\/a><\/span><\/div><\/div><div class=\"fusion-image-element fusion-image-align-center in-legacy-container\" style=\"text-align:center;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><div class=\"imageframe-align-center\"><span class=\" fusion-imageframe imageframe-none imageframe-2 hover-type-none\"><img decoding=\"async\" width=\"278\" height=\"47\" title=\"Departament d&#8217;Agricultura\" src=\"https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/Departament-dAgricultura.png\" alt class=\"img-responsive wp-image-122511\" srcset=\"https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/Departament-dAgricultura-200x34.png 200w, https:\/\/eurecat.org\/wp-content\/uploads\/2022\/04\/Departament-dAgricultura.png 278w\" sizes=\"(max-width: 800px) 100vw, 278px\" \/><\/span><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":33,"featured_media":122514,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"portfolio_category":[1559,1435,1561],"portfolio_skills":[1583],"portfolio_tags":[],"class_list":["post-122500","avada_portfolio","type-avada_portfolio","status-publish","format-standard","has-post-thumbnail","hentry","portfolio_category-applied-artificial-intellligence","portfolio_category-proyectos-nacionales-es","portfolio_category-robotica-y-automatizacion","portfolio_skills-feader-es"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PREDIV\u00cd - 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