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Dimitrios Moshou
Dimitrios Moshou
Full Professor, Faculty of Agriculture, Aristotle University of Thessaloniki
Verified email at agro.auth.gr
Title
Cited by
Cited by
Year
Machine learning in agriculture: A review
KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis
Sensors 18 (8), 2674, 2018
22682018
Sensing technologies for precision specialty crop production
WS Lee, V Alchanatis, C Yang, M Hirafuji, D Moshou, C Li
Computers and electronics in agriculture 74 (1), 2-33, 2010
6672010
Wheat yield prediction using machine learning and advanced sensing techniques
XE Pantazi, D Moshou, T Alexandridis, RL Whetton, AM Mouazen
Computers and electronics in agriculture 121, 57-65, 2016
5502016
Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy
A Morellos, XE Pantazi, D Moshou, T Alexandridis, R Whetton, G Tziotzios, ...
Biosystems Engineering 152, 104-116, 2016
4422016
Automatic detection of ‘yellow rust’in wheat using reflectance measurements and neural networks
D Moshou, C Bravo, J West, S Wahlen, A McCartney, H Ramon
Computers and electronics in agriculture 44 (3), 173-188, 2004
4402004
The potential of optical canopy measurement for targeted control of field crop diseases
JS West, C Bravo, R Oberti, D Lemaire, D Moshou, HA McCartney
Annual review of Phytopathology 41 (1), 593-614, 2003
4262003
Early disease detection in wheat fields using spectral reflectance
C Bravo, D Moshou, J West, A McCartney, H Ramon
Biosystems Engineering 84 (2), 137-145, 2003
3692003
Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers
XE Pantazi, D Moshou, AA Tamouridou
Computers and electronics in agriculture 156, 96-104, 2019
3052019
Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps
D Moshou, C Bravo, R Oberti, J West, L Bodria, A McCartney, H Ramon
Real-Time Imaging 11 (2), 75-83, 2005
2912005
Contribution of remote sensing on crop models: a review
DA Kasampalis, TK Alexandridis, C Deva, A Challinor, D Moshou, ...
Journal of Imaging 4 (4), 52, 2018
2092018
Emissions characteristics of spark ignition engine operating on lower–higher molecular mass alcohol blended gasoline fuels
I Gravalos, D Moshou, T Gialamas, P Xyradakis, D Kateris, Z Tsiropoulos
Renewable Energy 50, 27-32, 2013
1722013
Active learning system for weed species recognition based on hyperspectral sensing
XE Pantazi, D Moshou, C Bravo
Biosystems Engineering 146, 193-202, 2016
1642016
Bruise detection on ‘Golden Delicious’ apples by vis/NIR spectroscopy
J Xing, C Bravo, D Moshou, H Ramon, J De Baerdemaeker
Computers and electronics in agriculture 52 (1-2), 11-20, 2006
1142006
Evaluation of hierarchical self-organising maps for weed mapping using UAS multispectral imagery
XE Pantazi, AA Tamouridou, TK Alexandridis, AL Lagopodi, J Kashefi, ...
Computers and Electronics in Agriculture 139, 224-230, 2017
1092017
Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops
D Moshou, C Bravo, R Oberti, JS West, H Ramon, S Vougioukas, ...
Biosystems Engineering 108 (4), 311-321, 2011
1092011
A neural network based plant classifier
D Moshou, E Vrindts, B De Ketelaere, J De Baerdemaeker, H Ramon
Computers and electronics in agriculture 31 (1), 5-16, 2001
1022001
A machine learning approach for the condition monitoring of rotating machinery
D Kateris, D Moshou, XE Pantazi, I Gravalos, N Sawalhi, S Loutridis
Journal of Mechanical Science and Technology 28, 61-71, 2014
1012014
Improvement of vibrational comfort on agricultural vehicles by passive and semi-active cabin suspensions
K Deprez, D Moshou, J Anthonis, J De Baerdemaeker, H Ramon
Computers and electronics in agriculture 49 (3), 431-440, 2005
1012005
Foliar disease detection in the field using optical sensor fusion
C Bravo, D Moshou, R Oberti, J West, A McCartney, L Bodria, H Ramon
International Commission of Agricultural Engineering, 2004
992004
AP—animal production technology: recognition system for pig cough based on probabilistic neural networks
A Chedad, D Moshou, JM Aerts, A Van Hirtum, H Ramon, D Berckmans
Journal of agricultural engineering research 79 (4), 449-457, 2001
952001
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