Publications dans lesquelles il/elle collabore avec ALEXANDRE ESCOLA AGUSTI (33)

2023

  1. 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. A photogrammetry-based methodology to obtain accurate digital ground-truth of leafless fruit trees

    Computers and Electronics in Agriculture, Vol. 191

  8. 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

  9. PFuji-Size dataset

    PFuji-Size dataset

  10. PFuji-Size dataset

    PFuji-Size dataset

  11. PFuji-Size dataset

    PFuji-Size dataset

  12. 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

  13. 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

  14. Readme.txt

    Readme.txt

2020

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

    Computers and Electronics in Agriculture, Vol. 168

  2. LFuji-air dataset: Annotated 3D LiDAR point clouds of Fuji apple trees for fruit detection scanned under different forced air flow conditions

    Data in Brief

2019

  1. Fruit detection in an apple orchard using a mobile terrestrial laser scanner

    Biosystems Engineering, Vol. 187, pp. 171-184

2018

  1. LIDAR and non-LIDAR-based canopy parameters to estimate the leaf area in fruit trees and vineyard

    Agricultural and Forest Meteorology, Vol. 260-261, pp. 229-239

2016

  1. Ein LiDAR-basiertes System um Biomasse von Pappelbäumen zu bewerten

    Gesunde Pflanzen, Vol. 68, Núm. 3, pp. 155-162