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Author [ Title
] Type Year Filters: Author is Gené-Mola, Jordi [Clear All Filters]
. 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.
. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
. 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). 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). Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
. Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks . Biosystems Engineering. 2023;233:63-75. (10.36 MB)
(10.36 MB). 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). 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)