{"id":2603,"date":"2022-05-05T07:01:03","date_gmt":"2022-05-05T07:01:03","guid":{"rendered":"https:\/\/www.encore-lab.com\/project\/proyecto-urbansens\/"},"modified":"2022-05-13T07:04:17","modified_gmt":"2022-05-13T07:04:17","slug":"project-scaviho","status":"publish","type":"project","link":"https:\/\/www.encore-lab.com\/en\/project\/project-scaviho\/","title":{"rendered":"Scaviho"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||0px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16.1&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;|300|||||||&#8221; header_text_color=&#8221;#463372&#8243; header_font_size=&#8221;50px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1><span style=\"color: #000000;\">Project Scaviho<\/span><\/h1>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16.1&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/Header_Scaviho.jpg&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;0px||1px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f2f2f2&#8243; custom_padding=&#8221;||25px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;25px|||15px|false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>File<\/h1>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<strong>Year<\/strong><br \/>\n[\/et_pb_text][et_pb_divider color=&#8221;#c4c4c4&#8243; divider_weight=&#8221;1px&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;RGBA(0,0,0,0)&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||-20px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][et_pb_text _builder_version=&#8221;4.17.2&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;-15px||15px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>2020<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<strong>Area<\/strong><br \/>\n[\/et_pb_text][et_pb_divider color=&#8221;#c4c4c4&#8243; divider_weight=&#8221;1px&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;RGBA(0,0,0,0)&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||-20px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][et_pb_text _builder_version=&#8221;4.16.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;-15px||15px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Agriculture<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<strong>Participants<\/strong><br \/>\n[\/et_pb_text][et_pb_divider color=&#8221;#c4c4c4&#8243; divider_weight=&#8221;1px&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;RGBA(0,0,0,0)&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||-20px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][et_pb_text _builder_version=&#8221;4.16.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;-15px||15px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Encore Lab participa, Maetierra<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<strong>Technology used<\/strong><br \/>\n[\/et_pb_text][et_pb_divider color=&#8221;#c4c4c4&#8243; divider_weight=&#8221;1px&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;RGBA(0,0,0,0)&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;||-20px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][et_pb_text _builder_version=&#8221;4.16.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;-15px||15px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>NDVI measurement technologies, field sensors, artificial intelligence.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Project description<\/h2>\n<p>The project uses the Normalised Difference Vegetation Index (NDVI) used in precision agriculture to determine the general condition of the crop. NDVI values range from 0 to 1, and although extreme values are well interpreted by farmers as a sign of crop problems (lack or excess of water or nutrients), intermediate values during the growth stage are not used due to their difficulty of interpretation although they can reveal important information on crop development.<\/p>\n<p>The main objective of the project is to expand the intermediate NDVI values corresponding to the growth stage of a crop and to provide a scale according to the phenological stage of the crop in order to help farmers assess growth development, anticipate hidden problems and forecast harvest dates based on historical Sentinel-2 satellite data.<\/p>\n<p>These realisations will be carried out using Artificial Intelligence (AI).<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/Scaviho-Descripcion.jpg&#8221; alt=&#8221;Scaviho Description&#8221; title_text=&#8221;Scaviho Descripcion&#8221; align=&#8221;right&#8221; force_fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.16.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;2_5,3_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/Scaviho-Desarrollo.jpg&#8221; alt=&#8221;Scaviho Description&#8221; title_text=&#8221;Scaviho Desarrollo&#8221; align=&#8221;right&#8221; force_fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.16.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Reply from Encore-Lab<\/h2>\n<p>Encore Lab is in charge of the technical side and the algorithm.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Results<\/h2>\n<p>The main objective of the project is to expand the intermediate NDVI values corresponding to the growth stage of a crop and to provide a scale according to the phenological stage of the crop in order to help farmers assess growth development, anticipate hidden problems and forecast harvest dates based on historical Sentinel-2 satellite data.<\/p>\n<p>These realisations will be carried out using Artificial Intelligence (AI).<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.encore-lab.com\/wp-content\/uploads\/2022\/04\/Scaviho-Resultados.jpg&#8221; alt=&#8221;Scaviho Description&#8221; title_text=&#8221;Scaviho Resultados&#8221; force_fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.16.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Project Scaviho File Year 2020 Area Agriculture Participants Encore Lab participa, Maetierra Technology used NDVI measurement technologies, field sensors, artificial intelligence. Project description The project uses the Normalised Difference Vegetation Index (NDVI) used in precision agriculture to determine the general condition of the crop. NDVI values range from 0 to 1, and although extreme values [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2519,"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-2603","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-data-analysis"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Scaviho -<\/title>\n<meta name=\"description\" content=\"Scaviho - Encore-Lab Digital Excellence Dise\u00f1o y prototipado PCBs. Prototipos funcionales. 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