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

2023

  1. Drip Irrigation Soil-Adapted Sector Design and Optimal Location of Moisture Sensors: A Case Study in a Vineyard Plot

    Agronomy, Vol. 13, Núm. 9

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

    Postharvest Biology and Technology, Vol. 206

  3. Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 1: Methodology and comparison in vineyards

    Computers and Electronics in Agriculture, Vol. 212

  4. Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 2: Comparison for different crops and training systems

    Computers and Electronics in Agriculture, Vol. 212

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. 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system

    Building and Environment, Vol. 206

  7. 4-apples_GT_diameter_and_centre.txt

    4-apples_GT_diameter_and_centre.txt

  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. Assessing the performance of rgb-d sensors for 3d fruit crop canopy characterization under different operating and lighting conditions

    Sensors (Switzerland), Vol. 20, Núm. 24, pp. 1-21

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

    Computers and Electronics in Agriculture, Vol. 168