{"id":2713,"date":"2021-10-29T08:25:17","date_gmt":"2021-10-29T08:25:17","guid":{"rendered":"https:\/\/www.encore-lab.com\/project\/oidio-detection\/"},"modified":"2026-05-01T08:28:28","modified_gmt":"2026-05-01T08:28:28","slug":"oidio-detection","status":"publish","type":"project","link":"https:\/\/www.encore-lab.com\/en\/project\/oidio-detection\/","title":{"rendered":"O\u00eddium Detection"},"content":{"rendered":"

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Proyect Oidium Detection<\/span><\/h1>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16.1″ _module_preset=”default” background_image=”https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/Header_Oidio-detection.jpg” custom_margin=”||||false|false” custom_padding=”0px||1px||false|false” global_colors_info=”{}”][et_pb_row column_structure=”2_3,1_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” background_color=”#f2f2f2″ custom_padding=”||25px||false|false” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” custom_margin=”||||false|false” custom_padding=”25px|||15px|false|false” global_colors_info=”{}”]<\/p>\n

File<\/h1>\n

[\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”default” max_width=”90%” module_alignment=”center” custom_margin=”||0px||false|false” global_colors_info=”{}”]Year<\/strong>
\n[\/et_pb_text][et_pb_divider color=”#c4c4c4″ divider_weight=”1px” _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” width=”90%” module_alignment=”center” custom_margin=”||-20px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.16.0″ _module_preset=”default” width=”90%” module_alignment=”center” custom_margin=”-15px||15px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]2020
\n[\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”default” max_width=”90%” module_alignment=”center” custom_margin=”||0px||false|false” global_colors_info=”{}”]Area<\/strong>
\n[\/et_pb_text][et_pb_divider color=”#c4c4c4″ divider_weight=”1px” _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” width=”90%” module_alignment=”center” custom_margin=”||-20px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.16.0″ _module_preset=”default” width=”90%” module_alignment=”center” custom_margin=”-15px||15px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]Agriculture
\n[\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”default” max_width=”90%” module_alignment=”center” custom_margin=”||0px||false|false” global_colors_info=”{}”]Participants<\/strong>
\n[\/et_pb_text][et_pb_divider color=”#c4c4c4″ divider_weight=”1px” _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” width=”90%” module_alignment=”center” custom_margin=”||-20px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.16.0″ _module_preset=”default” width=”90%” module_alignment=”center” custom_margin=”-15px||15px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]Bodegas Ram\u00f3n Bilbao, Bodegas Del Medievo, Bodegas Patrocinio, Bodegas Arad\u00f3n, La Federaci\u00f3n de Cooperativas Agrarias de La Rioja (FECOAR), Servicio de Informaci\u00f3n Agroclim\u00e1tica de La Rioja, El Instituto de Ciencias de la Vid y del Vino (ICVV) y Encore Lab. It is a project co-financed by the Ministry of Agriculture and Fisheries, Food and Environment, the Rural Development Programme (RDP) of the Government of La Rioja and the European Agricultural Fund for Rural Development.
\n[\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”default” max_width=”90%” module_alignment=”center” custom_margin=”||0px||false|false” global_colors_info=”{}”]Technology used<\/strong>
\n[\/et_pb_text][et_pb_divider color=”#c4c4c4″ divider_weight=”1px” _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” width=”90%” module_alignment=”center” custom_margin=”||-20px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.16.0″ _module_preset=”default” width=”90%” module_alignment=”center” custom_margin=”-15px||15px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]Geographic information systems, agro-climatic stations, field sensors.
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.16.1″ _module_preset=”default” background_color=”#FFFFFF” module_alignment=”center” custom_margin=”||-90px||false|false” custom_padding=”|20px||20px|false|false” border_radii=”on|14px|14px|14px|14px” global_colors_info=”{}”][et_pb_column type=”1_5″ _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/oidio-detection-arriba1-1-1024×658.jpg” alt=”oidio detection” title_text=”oidio detection arriba1 (1)” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/oidio-detection-arriba1-2-1024×658.jpg” alt=”oidio detection” title_text=”oidio detection arriba1 (2)” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/oidio-detection-arriba1-3-1024×659.jpg” alt=”oidio detection” title_text=”oidio detection arriba1 (3)” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/oidio-detection-arriba1-4-1024×658.jpg” alt=”oidio detection” title_text=”oidio detection arriba1 (4)” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/oidio-detection-arriba1-5-1024×658.jpg” alt=”oidio detection” title_text=”oidio detection arriba1 (5)” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Project description<\/h2>\n

Powdery mildew or ash is an endemic disease in Rioja that can cause considerable damage to the vineyard. This requires the application of preventive phytosanitary treatments, which entails economic costs and environmental implications..<\/p>\n

The aim is to develop a practical tool to enable winegrowers to make the best decisions for a more sustainable and profitable agriculture by reducing the application of phytosanitary products.
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Reply from Encore-Lab<\/h2>\n

The plots will be monitored using geographic information systems (GIS) and CESENS technology, a crop monitoring system with field sensors integrated in proprietary agro-climatic stations.<\/p>\n

In addition, the technicians will make three visits a month to monitor the plots.<\/p>\n

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Results<\/h2>\n

During the 2018 season, powdery mildew infection was very severe in most parts of La Rioja, unlike in 2019, when it manifested itself with very little severity. However, in both seasons, winegrowers applied between 4 and 6 treatments on the plots tested, according to their criteria. With the help of the Gubler-Thomas Model in decision making during both seasons, it was possible to reduce the number of applications by more than 20% in more than half of the tested plots.<\/p>\n

The estimated impact on the objectives of this project for the 16,500 winegrowers and more than 500 wineries that make up the Rioja wine sector is to reduce by at least 20% the applications of phytosanitary products by half of the winegrowers. This would result in financial savings of approximately \u20ac1,100,000 and environmental savings of 9,538 liters of plant protection products per year.
\nDespite the differences between the two campaigns, it seems feasible to achieve at least this level of impact with the help of predictive models. In view of the results obtained in the 2019 control tests, the application of fewer treatments against powdery mildew could even be considered.
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Proyect Oidium DetectionFile Year 2020 Area Agriculture Participants Bodegas Ram\u00f3n Bilbao, Bodegas Del Medievo, Bodegas Patrocinio, Bodegas Arad\u00f3n, La Federaci\u00f3n de Cooperativas Agrarias de La Rioja (FECOAR), Servicio de Informaci\u00f3n Agroclim\u00e1tica de La Rioja, El Instituto de Ciencias de la Vid y del Vino (ICVV) y Encore Lab. It is a project co-financed by the […]<\/p>\n","protected":false},"author":1,"featured_media":2488,"comment_status":"open","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[23],"project_tag":[],"class_list":["post-2713","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-data-analysis"],"yoast_head":"\nO\u00eddium Detection -<\/title>\n<meta name=\"description\" content=\"O\u00eddium Detection - Encore-Lab Digital Excellence Dise\u00f1o y prototipado PCBs. Prototipos funcionales. 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