José A. Martinez-Casasnovas

Full professor, Head of Department

University of Lleida

Spain

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About

José A. Martinez-Casasnovas is a Full Professor and the Head of the Department at the University of Lleida, Spain. His research primarily focuses on precision agriculture, remote sensing applications, and plant nutritional management, with recent articles addressing topics such as differential seed and fertilizer management in semi-arid zones and the use of AI for fruit sizing. Additionally, he explores the ecological dynamics within agroecosystems and the influence of local factors on pest populations.

Articles (12)

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (8)

Filipe Madeira

Professor adjunto

PORTUGAL

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Alexandre Levi-Mourao

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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Luigi Sartori

University of Padova

ITALY

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Miquel Pascual

profesor

SPAIN

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Alexandre ESCOLÀ AGUSTÍ

Associate professor (Professor agregat/Contratado doctor)

Universitat de Girona

SPAIN

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Damia Vericat

Profesor Asociado Serra Húnter

Universitat de Girona

SPAIN

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Alejandro Costamagna

Associate Professor

University of Manitoba

CANADA

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José A. Martinez-Casasnovas

Research Interests

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About

Articles (12)

Local factors have a greater influence on the abundance of alfalfa weevil and its larval parasitoids than landscape complexity in heterogeneous landscapes

On-farm experimentation of precision agriculture for differential seed and fertilizer management in semi-arid rainfed zones

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

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

Fruit sizing using AI: A review of methods and challenges

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

Remote Sensing Imaging as a Tool to Support Mulberry Cultivation for Silk Production

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

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

Geomorphic adjustments to multi-scale disturbances in a mountain river: A century of observations

Detection of Lithologic Discontinuities in Soils: A Case Study of Arid and Semi-arid Regions of Iran

Collaborators (8)

Filipe Madeira

Alexandre Levi-Mourao

Eduard Gregorio López

Luigi Sartori

Miquel Pascual

Alexandre ESCOLÀ AGUSTÍ

Damia Vericat

Alejandro Costamagna

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