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1.
Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions.
Sensors (Basel)
; 20(24)2020 Dec 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-33321817
2.
AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation.
Data Brief
; 52: 110000, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38274155
3.
PFuji-Size dataset: A collection of images and photogrammetry-derived 3D point clouds with ground truth annotations for Fuji apple detection and size estimation in field conditions.
Data Brief
; 39: 107629, 2021 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-34877391
4.
Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry.
Data Brief
; 30: 105591, 2020 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-32368602
5.
LFuji-air dataset: Annotated 3D LiDAR point clouds of Fuji apple trees for fruit detection scanned under different forced air flow conditions.
Data Brief
; 29: 105248, 2020 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-32099878
6.
KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data.
Data Brief
; 25: 104289, 2019 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-31406905
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