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dc.contributor | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
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dc.contributor | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.contributor.author | Gené Mola, Jordi |
dc.contributor.author | Vilaplana Besler, Verónica |
dc.contributor.author | Rosell Polo, Joan Ramon |
dc.contributor.author | Morros Rubió, Josep Ramon |
dc.contributor.author | Ruiz Hidalgo, Javier |
dc.contributor.author | Gregorio, Eduard |
dc.date | 2019-07-01 |
dc.identifier.citation | Gené, J. [et al.]. Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities. "Computers and electronics in agriculture", 1 Juliol 2019, vol. 162, p. 689-698. |
dc.identifier.citation | 0168-1699 |
dc.identifier.citation | 10.1016/j.compag.2019.05.016 |
dc.identifier.uri | http://hdl.handle.net/2117/175186 |
dc.language.iso | eng |
dc.relation | https://www.sciencedirect.com/science/article/pii/S0168169919301413 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject | Robots, Industrial |
dc.subject | Radiation -- Measurement |
dc.subject | Apples |
dc.subject | RGB-D |
dc.subject | Multi-modal faster R-CNN |
dc.subject | Convolutional neural networks |
dc.subject | Fruit detection |
dc.subject | Agricultural robotics |
dc.subject | Fruit reflectance |
dc.subject | Robots industrials |
dc.subject | Radiació -- Mesurament |
dc.subject | Pomes |
dc.subject | Color en la indústria |
dc.title | Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/article |
dc.description.abstract | |
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