Publicaciones en las que colabora con EDUARD GREGORIO LOPEZ (43)

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. AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards

    SoftwareX, Vol. 24

  2. Assessing automatic data processing algorithms for RGB-D cameras to predict fruit size and weight in apples

    Computers and Electronics in Agriculture, Vol. 214

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

    Agronomy, Vol. 13, Núm. 9

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

    Postharvest Biology and Technology, Vol. 206

  5. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation

    Computers and Electronics in Agriculture, Vol. 209

  6. 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

  7. 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

  8. Video-Based Fruit Detection and Tracking for Apple Counting and Mapping

    2023 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2023 - Proceedings

2022

  1. AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments

    SoftwareX, Vol. 20

2021

  1. 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system

    Building and Environment, Vol. 206

  2. 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

  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 in Brief

2020

  1. Analyzing and overcoming the effects of GNSS error on LiDAR based orchard parameters estimation

    Computers and Electronics in Agriculture, Vol. 170

  2. 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

  3. Determination of spray drift and buffer zones in 3D crops using the ISO standard and new LiDAR methodologies

    Science of the Total Environment, Vol. 714

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

    Computers and Electronics in Agriculture, Vol. 169

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

    Computers and Electronics in Agriculture, Vol. 168

  6. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry

    Data in Brief

  7. 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