Publications dans lesquelles il/elle collabore avec RICARDO SANZ CORTIELLA (31)

2024

  1. 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 in Brief

2023

  1. AmodalAppleSize_RGB-D

    AmodalAppleSize_RGB-D

  2. Fruit sizing using AI: A review of methods and challenges

    Postharvest Biology and Technology, Vol. 206

2021

  1. 1-raw_images_1-Orch2018_2-Orch2020.zip

    1-raw_images_1-Orch2018_2-Orch2020.zip

  2. 1-raw_images_3-Lab2020_apple_01-13.zip

    1-raw_images_3-Lab2020_apple_01-13.zip

  3. 1-raw_images_3-Lab2020_apple_14-25.zip

    1-raw_images_3-Lab2020_apple_14-25.zip

  4. 2-trees_point_clouds.zip

    2-trees_point_clouds.zip

  5. 3-apple_point_clouds.zip

    3-apple_point_clouds.zip

  6. 4-apples_GT_diameter_and_centre.txt

    4-apples_GT_diameter_and_centre.txt

  7. In-field apple size estimation using photogrammetry-derived 3D point clouds: Comparison of 4 different methods considering fruit occlusions

    Computers and Electronics in Agriculture, Vol. 188

  8. PFuji-Size dataset

    PFuji-Size dataset

  9. PFuji-Size dataset

    PFuji-Size dataset

  10. PFuji-Size dataset

    PFuji-Size dataset

  11. 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 in Brief

  12. PFuji-Size dataset: photogrammetry-derived 3D point clouds of Fuji apples trees with annotations to evaluate fruit detection and size estimation methodologies

    PFuji-Size dataset: photogrammetry-derived 3D point clouds of Fuji apples trees with annotations to evaluate fruit detection and size estimation methodologies

  13. Readme.txt

    Readme.txt

2020

  1. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry

    Computers and Electronics in Agriculture, Vol. 169

  2. Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow

    Computers and Electronics in Agriculture, Vol. 168

  3. Fuji-SfM dataset

    Fuji-SfM dataset

  4. Fuji-SfM dataset

    Fuji-SfM dataset