Xanthoula Eirini Pantazi

According to our database, Xanthoula Eirini Pantazi authored at least 19 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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

Ioannis Navrozidis, Xanthoula Eirini Pantazi, Anastasia L. Lagopodi, Dionysis D. Bochtis, Thomas K. Alexandridis

Remote. Sens., December, 2023

2022

Diagnosis of Induced Resistance State in Tomato Using Artificial Neural Network Models Based on Supervised Self-Organizing Maps and Fluorescence Kinetics.

Xanthoula Eirini Pantazi, Anastasia L. Lagopodi, Afroditi Alexandra Tamouridou, Nathalie Nephelie Kamou, Ioannis Giannakis, Georgios Lagiotis, Evangelia Stavridou, Panagiotis Madesis, Georgios Tziotzios, Konstantinos Dolaptsis, Dimitrios Moshou

Sensors, 2022

Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning.

Antonios Morellos, Xanthoula Eirini Pantazi, Charalampos Paraskevas, Dimitrios Moshou

Remote. Sens., 2022

2020

Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis-NIR Spectroscopy.

Antonios Morellos, Georgios Tziotzios, Chrysoula Orfanidou, Xanthoula Eirini Pantazi, Christos Sarantaris, Varvara Maliogka, Thomas K. Alexandridis, Dimitrios Moshou

Remote. Sens., 2020

Comparing Machine Learning Algorithms for Surface Water Mapping using Sentinel-1 Data.

Xanthoula Eirini Pantazi, Ines Cherif, Afroditi Alexandra Tamouridou, Dimitrios Moshou, Georgios Ovakoglou, Thomas Alexandridis, Xanthi Tseni, Stella Kalaitzopoulou, Spiros Mourelatos

Proceedings of the 9th International Conference on Information and Communication Technologies in Agriculture, 2020

Assessing Olive Trees Health Using Vegetation Indices and Mundi Web Services for Sentinel-2 Images.

Ioannis Navrozidis, Anne Haugommard, Dimitrios Kasampalis, Thomas Alexandridis, Fabien Castel, Dimitrios Moshou, Georgios Ovakoglou, Xanthoula Eirini Pantazi, Afroditi Alexandra Tamouridou, Anastasia L. Lagopodi, Zois Zartaloudis, Spiros Mourelatos

Proceedings of the 9th International Conference on Information and Communication Technologies in Agriculture, 2020

2019

Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers.

Xanthoula Eirini Pantazi, Dimitrios Moshou, Alexandra A. Tamouridou

Comput. Electron. Agric., 2019

Olive Trees Stress Detection Using Sentinel-2 Images.

Ioannis Navrozidis, Spiros Mourelatos, Francisco Javier Nieto de Santos, Thomas K. Alexandridis, Dimitrios Moshou, Xanthoula Eirini Pantazi, Afroditi Alexandra Tamouridou, Dmitrii Kozhukh, Fabien Castel, Anastasia L. Lagopodi, Zois Zartaloudis

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination.

Alexandra A. Tamouridou, Xanthoula Eirini Pantazi, Thomas Alexandridis, Anastasia L. Lagopodi, Giorgos Kontouris, Dimitrios Moshou

Sensors, 2018

2017

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery.

Alexandra A. Tamouridou, Thomas K. Alexandridis, Xanthoula Eirini Pantazi, Anastasia L. Lagopodi, Javid Kashefi, Dimitrios Kasampalis, Giorgos Kontouris, Dimitrios Moshou

Sensors, 2017

Novelty Detection Classifiers in Weed Mapping: <i>Silybum marianum</i> Detection on UAV Multispectral Images.

Thomas K. Alexandridis, Alexandra A. Tamouridou, Xanthoula Eirini Pantazi, Anastasia L. Lagopodi, Javid Kashefi, Georgios Ovakoglou, Vassilios Polychronos, Dimitrios Moshou

Sensors, 2017

Evaluation of hierarchical self-organising maps for weed mapping using UAS multispectral imagery.

Xanthoula Eirini Pantazi, Alexandra A. Tamouridou, Thomas Alexandridis, Anastasia L. Lagopodi, Javid Kashefi, Dimitrios Moshou

Comput. Electron. Agric., 2017

Detection of Silybum marianum infection with Microbotryum silybum using VNIR field spectroscopy.

Xanthoula Eirini Pantazi, Alexandra A. Tamouridou, Thomas Alexandridis, Anastasia L. Lagopodi, Giorgos Kontouris, Dimitrios Moshou

Comput. Electron. Agric., 2017

2016

Wheat yield prediction using machine learning and advanced sensing techniques.

Xanthoula Eirini Pantazi, Dimitrios Moshou, Thomas Alexandridis, Rebecca Louise Whetton, Abdul Mounem Mouazen

Comput. Electron. Agric., 2016

Leaf Disease Recognition in Vine Plants Based on Local Binary Patterns and One Class Support Vector Machines.

Xanthoula Eirini Pantazi, Dimitrios Moshou, Alexandra A. Tamouridou, Stathis Kasderidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015

Data Fusion of Proximal Soil Sensing and Remote Crop Sensing for the Delineation of Management Zones in Arable Crop Precision Farming.

Xanthoula Eirini Pantazi, Dimitrios Moshou, Abdul Mounem Mouazen, Thomas Alexandridis, Boyan Kuang

Proceedings of the 7th International Conference on Information and Communication Technologies in Agriculture, 2015

Prediction of Soil Nitrogen from Spectral Features Using Supervised Self Organising Maps.

Xanthoula Eirini Pantazi, Dimitrios Moshou, Antonios Morellos, Rebecca Louise Whetton, Jens Wiebensohn, Abdul Mounem Mouazen

Proceedings of the Engineering Applications of Neural Networks, 2015

2014

Application of Supervised Self Organising Models for Wheat Yield Prediction.

Xanthoula Eirini Pantazi, Dimitrios Moshou, Abdul Mounem Mouazen, Boyan Kuang, Thomas Alexandridis

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2013

Automatic Detection of Different Harvesting Stages in Lettuce Plants by Using Chlorophyll Fluorescence Kinetics and Supervised Self Organizing Maps (SOMs).

Xanthoula Eirini Pantazi, Dimitrios Moshou, Dimitrios Kasampalis, Pavlos Tsouvaltzis, Dimitrios Kateris

Proceedings of the Engineering Applications of Neural Networks, 2013