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Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities., , , , , и . Comput. Electron. Agric., (2019)In-field apple size estimation using photogrammetry-derived 3D point clouds: Comparison of 4 different methods considering fruit occlusions., , , , и . Comput. Electron. Agric., (2021)AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards., , , , и . SoftwareX, (декабря 2023)Assessing automatic data processing algorithms for RGB-D cameras to predict fruit size and weight in apples., , , , , и . Comput. Electron. Agric., (ноября 2023)Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation., , , , , , , , и . Comput. Electron. Agric., (июня 2023)AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments., , , и . SoftwareX, (декабря 2022)Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow., , , , , , , и . Comput. Electron. Agric., (2020)Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry., , , , , , и . Comput. Electron. Agric., (2020)Analyzing and overcoming the effects of GNSS error on LiDAR based orchard parameters estimation., , , , и . Comput. Electron. Agric., (2020)Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions., , , , , , , и . Sensors, 20 (24): 7072 (2020)