Anastasia L. Lagopodi

According to our database, Anastasia L. Lagopodi authored at least 12 papers between 2017 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

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

Ioannis Navrozidis, Thomas Alexandridis, Dimitrios Moshou, Anne Haugommard, Anastasia L. Lagopodi

Remote. Sens., December, 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

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

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

Incorporating Surface Elevation Information in UAV Multispectral Images for Mapping Weed Patches.

Theodota Zisi, Thomas K. Alexandridis, Spyridon Kaplanis, Ioannis Navrozidis, Alexandra A. Tamouridou, Anastasia L. Lagopodi, Dimitrios Moshou, Vassilios Polychronos

J. Imaging, 2018

Identification of purple spot disease on asparagus crops across spatial and spectral scales.

Ioannis Navrozidis, Thomas K. Alexandridis, Agathoklis Dimitrakos, Anastasia L. Lagopodi, Dimitrios Moshou, George C. Zalidis

Comput. Electron. Agric., 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