[vc_row type=”vc_default” content_placement=”bottom” bg_type=”image” parallax_style=”vcpb-default” bg_image_new=”id^1087|url^https:\/\/www.tecnolivo.eu\/wp-content\/uploads\/2022\/09\/Sant-Pere-Martir-del-Riu-matarranya-matarrana-olivos-oliveras-teruel-aragon-1-scaled-1.jpg|caption^Cat\u00e1logo im\u00e1genes oliveras singulares del Matarra\u00f1a|alt^null|title^Cat\u00e1logo im\u00e1genes oliveras singulares del Matarra\u00f1a|description^null” bg_image_posiiton=”center” 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″ css=”.vc_custom_1663935214074{margin-top: -80px !important;}”][vc_column offset=”vc_hidden-sm vc_hidden-xs”]
OliVAis<\/strong> is a project funded by the 6th call of the Interreg V-A Espa\u00f1a \u2013 Portugal (POCTEP) 2014-2020 Programme. The Project proposes to capitalise results achieved by the TecnOlivo Project<\/strong>, funded by the 1st call of the mentioned Programme. On the one hand, it is proposed to validate models for olive trees\u2019 content estimation of nitrogen (N), phosphorus (p) and potassium (k)<\/strong>, assessed by means of the analysis of drone<\/strong>-acquired multiespectral images using artificial intelligence techniques, as well as to improve them<\/strong> using new sensing technologies to make them sensitive to the ten main nutrients<\/strong>. On the other hand, starting from the developed intelligent algorithms able to detect and count olive fruits visible<\/strong> in trees photographed from the ground, it is also aimed at deriving a new generation of algorithms capable of detecting hidden fruit as well, being them able to generate yield estimations in kilograms<\/strong> as well.<\/p>\n [\/vc_column_text][\/vc_column][vc_column width=”1\/3″][vc_single_image image=”1207″ img_size=”large”][\/vc_column][\/vc_row][vc_row type=”vc_default” equal_height=”yes” content_placement=”top” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f3f3f3″][vc_column width=”2\/3″][vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1\/6″] Entregable 1.1 Informe de resultados relativos a los modelos de estimaci\u00f3n del estado nutricional del olivar<\/a><\/p>\n<\/div><\/div> Entregable 1.2 Informe de resultados relativos a los modelos de estimaci\u00f3n de la cosecha del olivar<\/a><\/p>\n<\/div><\/div>02.<\/h2><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”5\/6″]
Specific Project\u2019s aims<\/h2><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/3″][\/vc_column][\/vc_row][vc_row type=”vc_default” content_placement=”middle” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f3f3f3″][vc_column width=”2\/3″]
To validate the models, developed during TecnOlivo, for NPK olive-trees\u2019 content estimation, and to develop extended models for the estimation of the complete nutritional profile, this by using drones, hyperspectral images and artificial intelligence.<\/h3>
To develop yield estimation models starting from partial results obtained in TecnOlivo.<\/h3>
Environmental impact decreasing as consequence of olive cultivation, by favouring an optimal usage of water and fertilisers.<\/h3>
Sector competitiveness improving by rationalising the usage of supplies, and also thanks to the development of price strategies enriched with accurate and early yield estimations.<\/h3>
03.<\/h2><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”5\/6″]
Partners<\/h2><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/3″][\/vc_column][\/vc_row][vc_row type=”vc_default” equal_height=”yes” content_placement=”top”][vc_column width=”1\/3″][vc_row_inner][vc_column_inner][vc_single_image image=”1160″ img_size=”medium” alignment=”center” onclick=”custom_link” link=”https:\/\/www.tecnolivo.eu\/en\/universidad-de-huelva\/”][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/3″][vc_row_inner][vc_column_inner][vc_single_image image=”410″ img_size=”medium” alignment=”center” onclick=”custom_link” link=”https:\/\/www.tecnolivo.eu\/en\/instituto-nacional-de-investigacao-agraria-e-veterinaria\/”][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/3″][vc_row_inner][vc_column_inner][vc_single_image image=”411″ img_size=”medium” alignment=”center” onclick=”custom_link” link=”https:\/\/www.tecnolivo.eu\/en\/oleodiel\/”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”vc_default” equal_height=”yes” content_placement=”top” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f3f3f3″][vc_column width=”2\/3″][vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1\/6″]
04.<\/h2><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”5\/6″]
Deliverables<\/h2><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/3″][\/vc_column][\/vc_row][vc_row type=”vc_default” full_width=”stretch_row” equal_height=”yes” bg_type=”bg_color” bg_color_value=”#f3f3f3″][vc_column]
Deliverable 1.1 Report on the results of the models for estimating the nutritional status of olive groves.<\/h3>
Deliverable 1.2 Report on the results of the models for estimating the olive harvest<\/h3>
Deliverable 6.1 Presentation of the corporate image and of the digital dissemination media<\/h3>