Dimitrios Moshou
Orcid: 0000-0001-7270-5307
According to our database1,
Dimitrios Moshou
authored at least 37 papers
between 2004 and 2024.
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Bibliography
2024
2022
Implementing Sentinel-2 Data and Machine Learning to Detect Plant Stress in Olive Groves.
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.
Sensors, 2022
Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning.
Remote. Sens., 2022
Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter.
Remote. Sens., 2022
2021
Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm.
Sensors, 2021
Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using Regression Methods and Landsat 7.
Remote. Sens., 2021
A deep learning approach for anthracnose infected trees classification in walnut orchards.
Comput. Electron. Agric., 2021
2020
Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis-NIR Spectroscopy.
Remote. Sens., 2020
Smart environments and ambient intelligence in agricultural and environmental technology.
J. Ambient Intell. Smart Environ., 2020
Comparing Machine Learning Algorithms for Surface Water Mapping using Sentinel-1 Data.
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.
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.
Comput. Electron. Agric., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Enhancing Food Security Through the Africultures Project: Design of Crop, Water and Drought Services.
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.
Sensors, 2018
Incorporating Surface Elevation Information in UAV Multispectral Images for Mapping Weed Patches.
J. Imaging, 2018
Identification of purple spot disease on asparagus crops across spatial and spectral scales.
Comput. Electron. Agric., 2018
Spatial Enhancement of Modis Leaf Area Index Using Regression Analysis with Landsat Vegetation Index.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery.
Sensors, 2017
Novelty Detection Classifiers in Weed Mapping: <i>Silybum marianum</i> Detection on UAV Multispectral Images.
Sensors, 2017
Evaluation of hierarchical self-organising maps for weed mapping using UAS multispectral imagery.
Comput. Electron. Agric., 2017
Detection of Silybum marianum infection with Microbotryum silybum using VNIR field spectroscopy.
Comput. Electron. Agric., 2017
2016
Comput. Electron. Agric., 2016
Leaf Disease Recognition in Vine Plants Based on Local Binary Patterns and One Class Support Vector Machines.
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.
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.
Proceedings of the Engineering Applications of Neural Networks, 2015
2014
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).
Proceedings of the Engineering Applications of Neural Networks, 2013
2011
Agricultural Vehicle Condition Monitoring System Based On Unsupervised Novelty Detection.
Proceedings of the 5th International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment (HAICTA 2011), 2011
2010
Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 2010
2005
Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps.
Real Time Imaging, 2005
Appl. Soft Comput., 2005
2004
Math. Comput. Simul., 2004