Search Publication
Export 11 results: 
 Author  Title  Type  [ Year ]
] Filters: Author is Gregorio, Eduard  [Clear All Filters]
. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture. 2023;209.  (9.02 MB)
 (9.02 MB)
 (9.02 MB)
 (9.02 MB). Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks  . Biosystems Engineering. 2023;233:63-75.  (10.36 MB)
 (10.36 MB)
 (10.36 MB)
 (10.36 MB). Video-Based Fruit Detection and Tracking for Apple Counting and Mapping. In IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). 2023.  (680.49 KB)
 (680.49 KB)
 (680.49 KB)
 (680.49 KB). Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169. 
. Fruit  Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187. 
. KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in Brief. 2019;.  (2.43 MB)
 (2.43 MB)
 (2.43 MB)
 (2.43 MB). Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162. 
. Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D. In Congreso Ibérico de Agroingeniería. Huesca:  Universidad de Zaragoza (UZA); 2019.  (1.21 MB)
 (1.21 MB)
 (1.21 MB)
 (1.21 MB). Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018. 
