Publicaciones en las que colabora con 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. 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

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

    European Journal of Agronomy, Vol. 145

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

    Scientia Horticulturae, Vol. 321

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

    Computers and Electronics in Agriculture, Vol. 191

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

    PRECISION AGRICULTURE'21

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

    PRECISION AGRICULTURE'21

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

  4. L’agricultura de precisió: què és i com pot ajudar l’agricultura catalana?

    Dossier tècnic, Núm. 107, pp. 3-9

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

2017

  1. Kinect v2 sensor-based mobile terrestrial laser scanner for agricultural outdoor applications

    IEEE/ASME Transactions on Mechatronics, Vol. 22, Núm. 6, pp. 2420-2427

2015

  1. Advanced technologies for the improvement of spray application techniques in Spanish viticulture: An overview

    Environmentally Sustainable Viticulture: Practices and Practicality (Apple Academic Press), pp. 181-208

2014

  1. Advanced technologies for the improvement of spray application techniques in Spanish viticulture: An overview

    Sensors (Switzerland), Vol. 14, Núm. 1, pp. 691-708

2013

  1. Leaf area index estimation in vineyards using a ground-based LiDAR scanner

    Precision Agriculture, Vol. 14, Núm. 3, pp. 290-306