{"id":4980,"date":"2026-06-23T14:53:47","date_gmt":"2026-06-23T14:53:47","guid":{"rendered":"https:\/\/agridatavalue.eu\/?p=4980"},"modified":"2026-06-23T14:53:48","modified_gmt":"2026-06-23T14:53:48","slug":"enhancing-olive-grove-resilience-field-demonstration-conducted-in-messinia-greece","status":"publish","type":"post","link":"https:\/\/agridatavalue.eu\/index.php\/2026\/06\/23\/enhancing-olive-grove-resilience-field-demonstration-conducted-in-messinia-greece\/","title":{"rendered":"Enhancing Olive Grove Resilience: Field demonstration conducted in Messinia, Greece."},"content":{"rendered":"\n<div style=\"height:46px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>As part of the project&#8217;s research activities, and specifically within Use Case 3.1: Disease Forecasting and Detection, a field demonstration was conducted in Messinia, Greece, at the AgriDataValue pilot site.<\/p>\n\n\n\n<p>The field demonstration, organized by the NILEAS Producers Group in a traditional olive grove, showcased how advanced digital technologies can enhance the early detection and management of olive anthracnose (<em>Colletotrichum gloeosporioides<\/em>). The event demonstrated the value of real-time monitoring and predictive analytics in providing growers with timely warnings, enabling them to optimize the timing of crop protection measures and improve disease management practices.<\/p>\n\n\n\n<p>Use Case 3.1 leverages SynField smart agriculture systems to collect and analyze real-time data for monitoring disease epidemiology and supporting early disease detection. Through the AgriDataValue framework, predictive models are developed to forecast and identify diseases affecting fruit trees. By integrating IoT-based weather, soil, and leaf wetness sensors, the system continuously monitors key environmental parameters, including microclimatic conditions and canopy moisture, and generates automated disease risk indices to support farmers\u2019 decision-making.<\/p>\n\n\n\n<div style=\"height:45px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/agridatavalue.eu\/wp-content\/uploads\/2026\/06\/body-1024x576.jpg\" alt=\"\" class=\"wp-image-4982\" style=\"width:737px;height:auto\" srcset=\"https:\/\/agridatavalue.eu\/wp-content\/uploads\/2026\/06\/body-1024x576.jpg 1024w, https:\/\/agridatavalue.eu\/wp-content\/uploads\/2026\/06\/body-300x169.jpg 300w, https:\/\/agridatavalue.eu\/wp-content\/uploads\/2026\/06\/body-768x432.jpg 768w, https:\/\/agridatavalue.eu\/wp-content\/uploads\/2026\/06\/body-600x338.jpg 600w, https:\/\/agridatavalue.eu\/wp-content\/uploads\/2026\/06\/body.jpg 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>","protected":false},"excerpt":{"rendered":"<p>ADV Use Case 3.1: Disease Forecasting and Detection<\/p>\n","protected":false},"author":3,"featured_media":4981,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_mi_skip_tracking":false,"footnotes":""},"categories":[1],"tags":[],"cc_featured_image_caption":{"caption_text":"","source_text":"","source_url":""},"_links":{"self":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts\/4980"}],"collection":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/comments?post=4980"}],"version-history":[{"count":1,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts\/4980\/revisions"}],"predecessor-version":[{"id":4983,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts\/4980\/revisions\/4983"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/media\/4981"}],"wp:attachment":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/media?parent=4980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/categories?post=4980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/tags?post=4980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}