Alexandre ESCOLÀ AGUSTÍ

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Associate professor (Professor agregat/Contratado doctor)

Universitat de Girona

Spain

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About

Alexandre Escolà Agustí is an Associate Professor at Universitat de Lleida in Spain. His research primarily focuses on remote sensing applications in agriculture, particularly through the use of LiDAR technology to assess productivity and quality in high-density olive and almond orchards. He has authored several articles exploring the relationship between yield, tree growth, and management strategies, as well as the comparisons of mobile terrestrial laser scanning and UAV photogrammetry in vineyard canopy estimation.

Recent Grants

Grant: Close

Precision agriculture technologies to optimize canopy management and sustainable crop protection in fruit orchards - PAgFRUIT

Open Date: 2019-01-01

Close Date: 2022-09-01

Grant: Close

LISA - Low Input Sustainable Agriculture

Open Date: 2018-02-01

Close Date: 2021-01-01

Grant: Close

Photonic-based tools for a sustainable agronomic management and use of pesticides in tree crops in the framework of precision farming - AgVANCE

Open Date: 2014-01-01

Close Date: 2017-12-01

Grant: Close

Estrategias integrales para una utilización de fitosanitarios segura y eficaz. Pulverización de precisión y monitorización de la deriva en fruticultura - SAFESPRAY

Open Date: 2010-01-01

Close Date: 2014-12-01

Articles (19)

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2020

Collaborators (8)

Jorge Torres-Sánchez

Universidad de Córdoba

SPAIN

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Julià Coma

Serra Húnter Associate Professor

University of Lleida

SPAIN

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Carlos Cabrera-Pérez

National Research Institute for Agriculture, Food and Environment

SPAIN

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Jordi Recasens

Full professor

Universitat de Girona

SPAIN

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Gabriel Pérez

Associate professor

University of Lleida

SPAIN

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Eduard Gregorio López

Associate professor (Professor agregat/Contratado doctor)

Universitat de Girona

SPAIN

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Miquel Pascual

profesor

SPAIN

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José A. Martinez-Casasnovas

Full professor, Head of Department

University of Lleida

SPAIN

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Alexandre ESCOLÀ AGUSTÍ

Research Interests

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About

Recent Grants

Articles (19)

LiDAR-derived indices and their relationship with productivity and oil quality attributes in high-density olive orchards

LiDAR-derived indices and their relationship with productivity and oil quality attributes in high-density olive orchards

A methodology for the realistic assessment of 3D point clouds of fruit trees in full 3D context

Leafiness-LiDAR index and NDVI for identification of temporal patterns in super-intensive almond orchards as response to different management strategies

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

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

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

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

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

Fruit sizing using AI: A review of methods and challenges

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

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

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

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

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

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

In-field apple size estimation using photogrammetry-derived 3D point clouds: Comparison of 4 different methods considering fruit occlusions

Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions

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

Collaborators (8)

Jorge Torres-Sánchez

Julià Coma

Carlos Cabrera-Pérez

Jordi Recasens

Gabriel Pérez

Eduard Gregorio López

Miquel Pascual

José A. Martinez-Casasnovas

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