{"id":13976,"date":"2026-08-18T09:31:49","date_gmt":"2026-08-18T09:31:49","guid":{"rendered":"https:\/\/agerpix.com\/?page_id=13976"},"modified":"2026-08-24T07:26:34","modified_gmt":"2026-08-24T07:26:34","slug":"previd-operational-group","status":"publish","type":"page","link":"https:\/\/agerpix.com\/en\/previd-operational-group\/","title":{"rendered":"PREVID OPERATIONAL GROUP"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"13976\" class=\"elementor elementor-13976 elementor-13802\">\n\t\t\t\t<div class=\"elementor-element elementor-element-04c96d5 e-flex e-con-boxed pxl-row-scroll-none pxl-zoom-point-false pxl-section-overflow-visible pxl-section-fix-none pxl-bg-color-none pxl-section-overlay-none e-con e-parent \" data-id=\"04c96d5\" data-element_type=\"container\" data-e-type=\"container\">\t\t\t<div class=\"e-con-inner\">\r\n\t\t\t\t<div class=\"elementor-element elementor-element-9422179 elementor-widget elementor-widget-heading\" data-id=\"9422179\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Grupo Operativo PreVid<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t<div class=\"elementor-element elementor-element-a21861b e-flex e-con-boxed pxl-row-scroll-none pxl-zoom-point-false pxl-section-overflow-visible pxl-section-fix-none pxl-bg-color-none pxl-section-overlay-none e-con e-parent \" data-id=\"a21861b\" data-element_type=\"container\" data-e-type=\"container\">\t\t\t<div class=\"e-con-inner\">\r\n\t\t\t\t<div class=\"elementor-element elementor-element-4e45920 elementor-widget elementor-widget-text-editor\" data-id=\"4e45920\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3 dir=\"ltr\">Advanced digitalization and agronomic prediction in table grapes through quadruped robotics, computer vision and artificial intelligence<\/h3><h3 dir=\"ltr\">\u00a0<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t<div class=\"elementor-element elementor-element-ae39bf2 e-flex e-con-boxed pxl-row-scroll-none pxl-zoom-point-false pxl-section-overflow-visible pxl-section-fix-none pxl-bg-color-none pxl-section-overlay-none e-con e-parent \" data-id=\"ae39bf2\" data-element_type=\"container\" data-e-type=\"container\">\t\t\t<div class=\"e-con-inner\">\r\n\t\t\t\t<div class=\"elementor-element elementor-element-5ff27d5 elementor-widget elementor-widget-text-editor\" data-id=\"5ff27d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The PreVid Operational Group addresses a strategic need of the sector: to digitalize, automate and bring objectivity to the critical agronomic and commercial management processes of a high-value production system such as the overhead-trellis vineyard (parral). Dividing the project into four specific objectives allows for a structured, progressive development of the system. A series of expected outcomes has been identified for end users: a substantial improvement in the objectivity and accuracy of bunch counting and yield estimation; a reduction in the costs associated with manual sampling and field technical staff; optimization of agronomic management through decisions based on predictive data; improved logistics and commercial planning, especially during export campaigns; access to a scalable tool that can be replicated in other vineyard structures or similar crops; and the generation of knowledge on intra-plot variability, vigour-limiting factors and phenological prediction, with strategic value for the digitalization of the crop.<\/p><p>\u00a0<\/p><p>Agerpix Technologies is the coordinator of the Operational Group, developed in collaboration with the <a href=\"https:\/\/www.fundaciontecnova.com\/\">Tecnova<\/a> technology centre, the grower <a href=\"https:\/\/moyca.eu\/\">MOYCA grapes<\/a> and the technology company <a href=\"https:\/\/codesian.com\/\">Codesian<\/a>, thus combining experience in the agricultural sector, computer vision, artificial intelligence, robotics and precision agriculture.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t<div class=\"elementor-element elementor-element-f105d50 e-flex e-con-boxed pxl-row-scroll-none pxl-zoom-point-false pxl-section-overflow-visible pxl-section-fix-none pxl-bg-color-none pxl-section-overlay-none e-con e-parent \" data-id=\"f105d50\" data-element_type=\"container\" data-e-type=\"container\">\t\t\t<div class=\"e-con-inner\">\r\n\t\t\t\t<div class=\"elementor-element elementor-element-cbbd1e0 elementor-widget elementor-widget-image\" data-id=\"cbbd1e0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/agerpix.com\/wp-content\/uploads\/2026\/08\/Slide3-1024x576.jpg\" class=\"attachment-large size-large wp-image-13807\" alt=\"\" srcset=\"https:\/\/agerpix.com\/wp-content\/uploads\/2026\/08\/Slide3-1024x576.jpg 1024w, https:\/\/agerpix.com\/wp-content\/uploads\/2026\/08\/Slide3-300x169.jpg 300w, https:\/\/agerpix.com\/wp-content\/uploads\/2026\/08\/Slide3-768x432.jpg 768w, https:\/\/agerpix.com\/wp-content\/uploads\/2026\/08\/Slide3-1536x864.jpg 1536w, https:\/\/agerpix.com\/wp-content\/uploads\/2026\/08\/Slide3-1170x658.jpg 1170w, https:\/\/agerpix.com\/wp-content\/uploads\/2026\/08\/Slide3.jpg 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t<div class=\"elementor-element elementor-element-ce453a6 e-flex e-con-boxed pxl-row-scroll-none pxl-zoom-point-false pxl-section-overflow-visible pxl-section-fix-none pxl-bg-color-none pxl-section-overlay-none e-con e-parent \" data-id=\"ce453a6\" data-element_type=\"container\" data-e-type=\"container\">\t\t\t<div class=\"e-con-inner\">\r\n\t\t\t\t<div class=\"elementor-element elementor-element-6afa4f7 elementor-widget elementor-widget-text-editor\" data-id=\"6afa4f7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h4 style=\"box-sizing: inherit;\">Funding: 100% from EAFRD and MAPA<\/h4><div>\u00a0<\/div><p style=\"box-sizing: inherit; color: #646464; font-family: 'Public Sans', sans-serif;\">PREVID is 100% funded by the <strong>European Agricultural Fund for Rural Development (FEADER)<\/strong> and Spain&#8217;s Ministry of Agriculture, Fisheries and Food (MAPA), under the 2025 Operational Groups call (file no. REGAGE25e00048171574). The total approved budget amounts to \u20ac587,281.48 for a three-year implementation period.<\/p><p style=\"box-sizing: inherit; color: #646464; font-family: 'Public Sans', sans-serif;\">Este nivel de intensidad de ayuda refleja el car\u00e1cter innovador del proyecto y su alineaci\u00f3n con las prioridades de la pol\u00edtica agraria europea: digitalizaci\u00f3n, sostenibilidad y mejora de la competitividad del sector hortofrut\u00edcola.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Grupo Operativo PreVid Advanced digitalization and agronomic prediction in table grapes through quadruped robotics, computer vision and artificial intelligence \u00a0 The PreVid Operational Group addresses a strategic need of the sector: to digitalize, automate and bring objectivity to the critical agronomic and commercial management processes of a high-value production system such as the overhead-trellis vineyard [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-13976","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - 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