Publicacións (96) Publicacións de ALEXANDRE ESCOLA AGUSTI

2023

  1. Avances en la aplicabilidad de tecnologías en la agricultura de precisión en fruticultura

    Revista de fruticultura, Núm. 92, pp. 64-73

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

    Agronomy, Vol. 13, Núm. 9

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

    Postharvest Biology and Technology, Vol. 206

  4. 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

  5. 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

  6. Organic mulches as an alternative for under-vine weed management in Mediterranean irrigated vineyards: Impact on agronomic performance

    European Journal of Agronomy, Vol. 145

  7. Relationship between yield and tree growth in almond as influenced by nitrogen nutrition

    Scientia Horticulturae, Vol. 321

  8. Soluciones de agricultura de precisión para el control de malas hierbas en maíz

    Vida rural, Núm. 527, pp. 24-29

2022

  1. Delineation of Management Zones in Hedgerow Almond Orchards Based on Vegetation Indices from UAV Images Validated by LiDAR-Derived Canopy Parameters

    Agronomy, Vol. 12, Núm. 1

  2. Satellite multispectral indices to estimate canopy parameters and within-field management zones in super-intensive almond orchards

    Precision Agriculture, Vol. 23, Núm. 6, pp. 2040-2062

2021

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

    Building and Environment, Vol. 206

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

    Computers and Electronics in Agriculture, Vol. 191

  3. 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

  4. 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

  5. Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards

    PRECISION AGRICULTURE'21

  6. NDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchards

    PRECISION AGRICULTURE'21

  7. 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