Publicaciones en las que colabora con ALEXANDRE ESCOLA AGUSTI (66)

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

    Building and Environment, Vol. 206

  2. Estimation of geometric and structural parameters in a super-intensive almond (Prunus dulcis) orchard from multispectral vegetation indices derived from UAV-based imagery

    PRECISION AGRICULTURE'21

  3. 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

  4. 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. 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

  3. 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. Assessing ranked set sampling and ancillary data to improve fruit load estimates in peach orchards

    Computers and Electronics in Agriculture, Vol. 164

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

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

  3. Spatial variability in commercial orange groves. Part 1: canopy volume and height

    Precision Agriculture, Vol. 20, Núm. 4, pp. 788-804

  4. Spatial variability in commercial orange groves. Part 2: relating canopy geometry to soil attributes and historical yield

    Precision Agriculture, Vol. 20, Núm. 4, pp. 805-822

  5. Stratified sampling in fruit orchards using cluster-based ancillary information maps: a comparative analysis to improve yield and quality estimates

    Precision Agriculture, Vol. 20, Núm. 2, pp. 179-192

2018

  1. Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: Current status and challenges

    Horticulture Research, Vol. 5, Núm. 1

  2. 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

  3. Terrain classification using ToF sensors for the enhancement of agricultural machinery traversability

    Journal of Terramechanics, Vol. 76, pp. 1-13

2017

  1. A method to obtain orange crop geometry information using a mobile terrestrial laser scanner and 3D modeling

    Remote Sensing, Vol. 9, Núm. 8