{"id":758,"date":"2018-03-11T18:16:43","date_gmt":"2018-03-11T17:16:43","guid":{"rendered":"http:\/\/www.abeanglobal.com\/?page_id=758"},"modified":"2022-10-24T12:52:21","modified_gmt":"2022-10-24T11:52:21","slug":"tecnolivo","status":"publish","type":"page","link":"https:\/\/www.tecnolivo.eu\/en\/","title":{"rendered":"Tecnolivo"},"content":{"rendered":"

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OLIVE MANAGEMENT THROUGH RPAs<\/h1><\/div>
Comprehensive, ecological and optimised solution<\/strong> for obtaining, processing and interpreting data to improve olive cultivation<\/strong> through the use of RPAs and ground sensors<\/strong>.<\/div><\/div>[\/vc_column][\/vc_row][vc_row type=”vc_default” content_placement=”bottom” bg_type=”image” parallax_style=”vcpb-default” bg_image_new=”id^543|url^http:\/\/www.abeanglobal.com\/wp-content\/uploads\/2018\/02\/Olivos-agricultura-drones.jpg|caption^null|alt^null|title^Olivos agricultura drones|description^null” bg_img_attach=”fixed” bg_image_posiiton=”bottom” bg_override=”ex-full” enable_overlay=”enable_overlay_value” overlay_color=”rgba(0,0,0,0.24)” seperator_enable=”seperator_enable_value” seperator_type=”tilt_left_seperator” seperator_position=”bottom_seperator” seperator_svg_height=”80″][vc_column offset=”vc_hidden-lg vc_hidden-md”]
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OLIVE MANAGEMENT THROUGH RPAs<\/h1><\/div>
Comprehensive, ecological and optimised solution<\/strong> for obtaining, processing and interpreting data to improve olive cultivation<\/strong> through the use of RPAs and ground sensors<\/strong>.<\/div><\/div>[\/vc_column][\/vc_row][vc_row margin_top=”-20px”][vc_column]
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Technologies for the management and supervision of olive cultivation<\/h2><\/div><\/div>[\/vc_column][\/vc_row][vc_row type=”vc_default” gap=”35″ content_placement=”middle”][vc_column width=”1\/2″]
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The Project<\/h3><\/div> <\/div> <\/div> [vc_column_text]<\/p>\n

The TecnOlivo project proposes the development of a marketable and easy-to-use technological solution that allows integrated, ecological and optimized management of the olive grove through non-invasive monitoring of key agronomic parameters.<\/p>\n

The solution will consist of an autonomous aerial vehicle (UAV) equipped with sensors that, together with a terrestrial sensor network, will be able to monitor key parameters of the olive grove.<\/p>\n

The UAV and the network will integrate communication devices for the transmission of the acquired data to a server equipped with the artificial intelligence for the correct interpretation of the data.<\/p>\n

Finally, a set of applications for mobile devices will show, in a user-friendly and in the form of illustrated maps, the farmer which parts of the olive grove need irrigation or any kind of treatment, and to what extent.<\/p>\n

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