D. Moshou

发表

Chlorophyll fluorescence as a tool for online quality sorting of apples

H. Ramon, D. Moshou, S. Wahlen, 2005 .

Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops

Dionysis Bochtis, Roberto Oberti, Dimitrios Moshou, 2011 .

Foliar Disease Detection in the Field Using Optical Sensor Fusion

H. Ramon, D. Moshou, C. Bravo, 2004 .

Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks

H. Ramon, D. Moshou, S. Wahlen, 2004 .

Review: Sensing technologies for precision specialty crop production

V. Alchanatis, D. Moshou, W. S. Lee, 2010 .

Early Disease Detection in Wheat Fields using Spectral Reflectance

H. Ramon, D. Moshou, C. Bravo, 2003 .

The potential of optical canopy measurement for targeted control of field crop diseases.

D. Moshou, C. Bravo, R. Oberti, 2003, Annual review of phytopathology.

Neural recognition systems for swine cough

Dimitrios Moshou, Dries Berckmans, A. Chedad, 2001 .

A generalized modelling technique for linearized motions of mechanisms with flexible parts

H. Ramon, D. Moshou, J. Anthonis, 2003 .

Evaluation of UAV imagery for mapping Silybum marianum weed patches

Dimitrios Moshou, Thomas Alexandridis, Alexandra A. Tamouridou, 2017 .

Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy

Rebecca L. Whetton, D. Moshou, A. Mouazen, 2016 .

Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers

Roberto Oberti, Xanthoula Eirini Pantazi, Dimitrios Moshou, 2017, Precision Agriculture.

Water stress detection based on optical multisensor fusion with a least squares support vector machine classifier

Dimitrios Moshou, Ioannis Gravalos, Dimitrios Kateris, 2014 .

Extended Self-Organizing Maps with Local Linear Mappings for Function Approximation and System Identification

Dimitrios Moshou, Herman Ramon, H. Ramon, 2007 .

Detection of fuel type on a spark ignition engine from engine vibration behaviour

Dimitrios Moshou, Ioannis Gravalos, Dimitrios Kateris, 2013 .

Bruise detection on 'Golden Delicious' apples by vis/NIR spectroscopy

Josse De Baerdemaeker, Dimitrios Moshou, Herman Ramon, 2006 .

Tracing boundaries of weeds using digital images

D. Moshou, I. Gravalos, P. Xyradakis, 2011 .

Automatic Identification of Gasoline – Biofuel Blend Type in an Internal Combustion Four-stroke Engine based on Unsupervised Novelty Detection and Active Learning☆

Xanthoula Eirini Pantazi, Dimitrios Moshou, Ioannis Gravalos, 2013 .

An underground experimental mobile platform for soil moisture monitoring.

D. Moshou, S. Loutridis, I. Gravalos, 2010 .

2D and 3D soil moisture imaging using a sensor-based platform moving inside a subsurface network of pipes

D. Moshou, S. Fountas, I. Gravalos, 2013 .

Multisensor Fusion of Remote Sensing Data for Crop Disease Detection

H. Ramon, D. Moshou, R. Oberti, 2011 .

Development of a weed activated spraying machine for targeted application of herbicides

Luc Van Gool, Josse De Baerdemaeker, Dimitrios Moshou, 2002 .

Active learning system for weed species recognition based on hyperspectral sensing

Dimitrios Moshou, C. Bravo, Xanthoula-Eirini Pantazi, 2016 .

Wheat yield prediction using machine learning and advanced sensing techniques

Xanthoula Eirini Pantazi, Dimitrios Moshou, Thomas Alexandridis, 2016, Comput. Electron. Agric..

Nutritional composition changes in bell pepper as affected by the ripening stage of fruits at harvest or postharvest storage and assessed non-destructively.

D. Moshou, I. Gitas, A. Siomos, 2021, Journal of the science of food and agriculture.

Neural network based classification of different weed species and crops.

J. V. Stafford, Herman Ramon, J. De Baerdemaeker, 1999 .

Spatial Enhancement of Modis Leaf Area Index Using Regression Analysis with Landsat Vegetation Index

Jan G. P. W. Clevers, Giovanni Laneve, Dimitrios Moshou, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

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

D. Moshou, T. Alexandridis, A. Lagopodi, 2022, Remote. Sens..

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

D. Moshou, X. Pantazi, A. Lagopodi, 2022, Sensors.

A machine learning approach for the condition monitoring of rotating machinery

D. Moshou, I. Gravalos, D. Kateris, 2014, Journal of Mechanical Science and Technology.

K. Sudduth, D. Moshou, A. Mouazen, 2020, Agricultural Internet of Things and Decision Support for Precision Smart Farming.

Utilization of multisensors and data fusion in precision agriculture

Xanthoula Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis, 2020 .

Tutorial III: Disease and nutrient stress detection

Xanthoula Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis, 2020 .

Crop health condition monitoring based on the identification of biotic and abiotic stresses by using hierarchical self-organizing classifiers

Roberto Oberti, Xanthoula Eirini Pantazi, Dimitrios Moshou, 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, Thomas Alexandridis, 2015, HAICTA.

Contribution of Remote Sensing on Crop Models: A Review

Dimitrios Moshou, Thomas K. Alexandridis, Dimitrios Kasampalis, 2018, J. Imaging.

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

Xanthoula Eirini Pantazi, Dimitrios Moshou, Thomas K. Alexandridis, 2017, Sensors.

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

Xanthoula Eirini Pantazi, Dimitrios Moshou, Alexandra A. Tamouridou, 2019, Comput. Electron. Agric..

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

Xanthoula Eirini Pantazi, Dimitrios Moshou, Thomas K. Alexandridis, 2020, Remote. Sens..

Effects of impact locations on mechanical and dynamical properties of fruits.

H. Sadrnia, H. Ramon, B. Nicolai, 2008 .

Machine Learning in Agriculture: A Review

Patrizia Busato, Simon Pearson, Dimitrios Moshou, 2018, Sensors.

Rapid Nondestructive Postharvest Potato Freshness and Cultivar Discrimination Assessment

D. Moshou, A. Siomos, K. Ntouros, 2021, Applied Sciences.

A Weed Species Spectral Detector Based on Neural Networks

H. Ramon, J. De Baerdemaeker, D. Moshou, 2002, Precision Agriculture.

AP—Animal Production Technology: Recognition System for Pig Cough based on Probabilistic Neural Networks

Jean-Marie Aerts, Daniel Berckmans, Dimitrios Moshou, 2001 .

A neural network based plant classifier

Bart De Ketelaere, Herman Ramon, Josse De Baerdemaeker, 2001 .

Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm

Dimitrios Moshou, Lukás Herman, Tomás Rezník, 2021, Sensors.

Artificial Intelligence in Agriculture

Xanthoula Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis, 2020, Journal of Physics: Conference Series.

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

Dimitrios Moshou, Thomas K. Alexandridis, Ioannis Navrozidis, 2018, J. Imaging.

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 Kateris, 2013, EANN.

Introduction to agricultural IoT

M. Matera, D. Moshou, D. Caivano, 2020 .

Tutorial VI: Postharvest phenotyping

Xanthoula Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis, 2020 .

An experimental study on the impact of the rear track width on the stability of agricultural tractors using a test bench

Dimitrios Moshou, Ioannis Gravalos, Dimitrios Kateris, 2011 .

Tutorial I: Weed detection

Xanthoula Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis, 2020, Intelligent Data Mining and Fusion Systems in Agriculture.

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

Xanthoula Eirini Pantazi, Dimitrios Moshou, Thomas Alexandridis, 2017, Comput. Electron. Agric..

Crop and weed species recognition based on hyperspectral sensing and active learning

Dimitrios Moshou, Ioannis Gravalos, Dimitrios Kateris, 2013 .

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

D. Moshou, X. Pantazi, Antonios Morellos, 2022, Remote Sensing.

Effect of controlled traffic on field efficiency

Dionysis Bochtis, Ole Green, Claus G. Sørensen, 2010 .

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

Xanthoula Eirini Pantazi, Dimitrios Moshou, Thomas Alexandridis, 2017, Comput. Electron. Agric..

Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps

Roberto Oberti, Dimitrios Moshou, Herman Ramon, 2005, Real Time Imaging.

Simultaneous identification of plant stresses and diseases in arable crops using proximal optical sensing and self-organising maps

H. Ramon, J. West, J. De Baerdemaeker, 2006, Precision Agriculture.

Performance and Emission Characteristics of Spark Ignition Engine Fuelled with Ethanol and Methanol Gasoline Blended Fuels

D. Moshou, I. Gravalos, P. Xyradakis, 2011 .

Improvement of vibrational comfort on agricultural vehicles by passive and semi-active cabin suspensions

Herman Ramon, Josse De Baerdemaeker, Dimitrios Moshou, 2005 .

Comfort improvement of a nonlinear suspension using global optimization and in situ measurements

Herman Ramon, Dimitrios Moshou, Koen Deprez, 2005 .

Evaluation of machine learning approaches for surface water monitoring using Sentinel-1 data

D. Moshou, T. Alexandridis, X. Pantazi, 2022, Journal of Applied Remote Sensing.

Sensors in agriculture

D. Moshou, D. Bochtis, X. Pantazi, 2020, Intelligent Data Mining and Fusion Systems in Agriculture.

Automatic detection of surface-water bodies from Sentinel-1 images for effective mosquito larvae control

Dimitrios Moshou, Georgios Ovakoglou, Xanthi Tseni, 2021 .

Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using Regression Methods and Landsat 7

Dimitrios Moshou, Gergely Tóth, Abdul M. Mouazen, 2021, Remote. Sens..

Apple mealiness detection using fluorescence and self-organising maps

Dimitrios Moshou, Herman Ramon, Ann Schenk, 2003 .

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

Thomas M. Koutsos, G. Tóth, D. Moshou, 2022, Land.

WAVELETS AND SELF-ORGANISING MAPS IN ELECTROMYOGRAM (EMG) ANALYSIS

G Papaioannou, Dimitrios Moshou, Herman Ramon, 2000 .

Designing AfriCultuReS services to support food security in Africa

Giovanni Laneve, Dimitrios Moshou, Georgios Ovakoglou, 2020, Trans. GIS.

A study on the effect of electronic engine speed regulator on agricultural tractor ride vibration behavior

Dimitrios Moshou, Ioannis Gravalos, Dimitrios Kateris, 2011 .

An intelligent alarm for early detection of swine epidemics based on neural networks (vol 44, pg 167, 2001)

Dries Berckmans, Dimitrios Moshou, A. Chedad, 2001 .

Olive Trees Stress Detection Using Sentinel-2 Images

Xanthoula Eirini Pantazi, Afroditi Alexandra Tamouridou, Dimitrios Moshou, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Detection of Fungal Diseases Optically and Pathogen Inoculum by Air Sampling

Roberto Oberti, Dimitrios Moshou, Herman Ramon, 2010 .

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

M. A. Munnaf, D. Moshou, A. Mouazen, 2022, Remote. Sens..

Emissions characteristics of spark ignition engine operating on lower–higher molecular mass alcohol blended gasoline fuels

Dimitrios Moshou, Ioannis Gravalos, Dimitrios Kateris, 2013 .

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

Stathis Kasderidis, Xanthoula Eirini Pantazi, Dimitrios Moshou, 2016, AIAI.

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

George C. Zalidis, Dimitrios Moshou, Thomas K. Alexandridis, 2018, Comput. Electron. Agric..

Tutorial II: Disease detection with fusion techniques

D. Moshou, D. Bochtis, X. Pantazi, 2020, Intelligent Data Mining and Fusion Systems in Agriculture.

Tutorial V: Yield prediction

D. Moshou, D. Bochtis, X. Pantazi, 2020 .

A deep learning approach for anthracnose infected trees classification in walnut orchards

Elpiniki I. Papageorgiou, Dimitrios Moshou, Dionysis D. Bochtis, 2021, Comput. Electron. Agric..

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

Xanthoula Eirini Pantazi, Dimitrios Moshou, Thomas Alexandridis, 2018, Sensors.

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

Jens Wiebensohn, Xanthoula Eirini Pantazi, Dimitrios Moshou, 2015, EANN.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

D. Moshou, A. Mouazen, G. Buttafuoco, 2020 .

Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images

Xanthoula Eirini Pantazi, Dimitrios Moshou, Georgios Ovakoglou, 2017, Sensors.