Thomas Alexandridis

Has grant

Assoc. professor of remote sensing and GIS in agriculture

Aristotle University of Thessaloniki

Greece

Research Interests

Explore related searches

Professors in Agriculture

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Thomas Alexandridis is an Associate Professor of Remote Sensing and GIS in Agriculture at Aristotle University of Thessaloniki, Greece. His research focuses on the application of remote sensing technologies and machine learning in agriculture, including early detection of plant diseases, crop mapping, and land suitability analysis. Notable recent articles include studies on spectral configurations for estimating crop parameters, monitoring land degradation, and using geoinformatics in wine regions.

Recent Grants

Grant: Close

Valorization of Drama wine identity through a holistic characterization of the natural and microbial environment

Open Date: 2021-07-01

Close Date: 2023-11-01

Grant: Close

STARGATE - Resilient farming by adaptive microclimate management

Open Date: 2019-10-01

Close Date: 2023-09-01

Grant: Close

SIEUSOIL - Sino-EU Soil Observatory for intelligent Land Use Management

Open Date: 2019-06-01

Close Date: 2022-10-01

Grant: Close

WaMoS - Water monitoring with remote sensing

Open Date: 2018-01-01

Close Date: 2020-01-01

Grant: Close

AfriCultuReS – Enhancing food security in African agricultural systems with the support of remote sensing

Open Date: 2017-11-01

Close Date: 2022-10-01

Articles (14)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (16)

Gergely Toth

HUNGARY

Thomas Alexandridis

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (14)

Early detection of bacterial canker in tomato plants using spectroscopy for smart agriculture applications

Analysis of Land Suitability for Maize Production under Climate Change and Its Mitigation Potential through Crop Residue Management

Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery

Delineating Natural Terroir Units in Wine Regions Using Geoinformatics

Using Block Kriging as a Spatial Smooth Interpolator to Address Missing Values and Reduce Variability in Maize Field Yield Data

Monitoring of Land Degradation in Greece and Tunisia Using Trends.Earth with a Focus on Cereal Croplands

Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data

Developing capacity for impactful use of Earth Observation data: Lessons from the AfriCultuReS project

Land Suitability Analysis as a Tool for Evaluating Soil-Improving Cropping Systems

Implementing Sentinel-2 Data and Machine Learning to Detect Plant Stress in Olive Groves

Testing Sentinel-2 spectral configurations for estimating relevant crop biophysical and biochemical parameters for precision agriculture using tree-based and kernel-based algorithms

Downscaling of MODIS leaf area index using landsat vegetation index

Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter

Designing AfriCultuReS services to support food security in Africa

Collaborators (16)

Gergely Toth

George Menexes

Eleni Katragkou

Jan Clevers

Giovanni Laneve

Anastasia L. Lagopodi

Rose Pritchard

Anne Gobin

George Bilas

Dan Brockington

Maurice Mugabowindekwe

Stefanos Koundouras

Dimitrios Moshou

Muhammad Abdul Munnaf

Serafeim Theocharis

Dorothea Kleine

Make your next move.