World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
9656
World Ranking
8556
National Ranking
69

Overview

Dimitrios Moshou is affiliated with Aristotle University of Thessaloniki in Greece and has an established record of research primarily within the fields of Environmental Science and Agricultural and Biological Sciences. Their work encompasses a variety of subfields including Plant Science, Ecology, Environmental Engineering, Analytical Chemistry, and Cell Biology.

The research topics covered by Moshou include:

  • Remote Sensing in Agriculture
  • Smart Agriculture and AI
  • Soil Geostatistics and Mapping
  • Spectroscopy and Chemometric Analyses
  • Plant Pathogens and Fungal Diseases
  • Land Use and Ecosystem Services
  • Geochemistry and Geologic Mapping

Frequent collaborative partnerships have been established with several coauthors, including:

  • Thomas Alexandridis
  • Abdul M. Mouazen
  • Tomáš Řezník
  • Anne Gobin
  • Xanthoula Eirini Pantazi

Dimitrios Moshou has contributed to various publication venues. The most common venues for their work include:

  • Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Sensors
  • Computers and Electronics in Agriculture
  • Journal of the Science of Food and Agriculture

Selected recent papers authored or coauthored by Dimitrios Moshou are:

  • "A deep learning approach for anthracnose infected trees classification in walnut orchards," 2021, Computers and Electronics in Agriculture
  • "Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning," 2022, Remote Sensing
  • "Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis-NIR Spectroscopy," 2020, Remote Sensing
  • "Nutritional composition changes in bell pepper as affected by the ripening stage of fruits at harvest or postharvest storage and assessed non-destructively," 2021, Journal of the Science of Food and Agriculture
  • "Automatic detection of surface-water bodies from Sentinel-1 images for effective mosquito larvae control," 2021, Journal of Applied Remote Sensing

Moshou has also contributed to book publications as follows:

  • Agricultural Internet of Things and Decision Support for Precision Smart Farming, 2020, Elsevier BV
  • Information and Communication Technologies for Agriculture-Theme II: Data, 2022, Springer International Publishing

Best Publications

  • Machine Learning in Agriculture: A Review.

    Konstantinos G. Liakos;Patrizia Busato;Dimitrios Moshou;Simon Pearson

  • Review: Sensing technologies for precision specialty crop production

    W. S. Lee;V. Alchanatis;C. Yang;M. Hirafuji

  • Wheat yield prediction using machine learning and advanced sensing techniques

    X.E. Pantazi;D. Moshou;T. Alexandridis;R.L. Whetton

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

    Antonios Morellos;Xanthoula-Eirini Pantazi;Dimitrios Moshou;Thomas Alexandridis

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

    Dimitrios Moshou;Cédric Bravo;Jonathan West;Stijn Wahlen

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

    JS West;Cedric Bravo;R Oberti;D Lemaire

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

    Xanthoula Eirini Pantazi;Dimitrios Moshou;Alexandra A. Tamouridou

  • Early disease detection in wheat fields using spectral reflectance.

    Cédric Bravo;Dimitrios Moshou;Jonathan West;Alastair McCartney

  • Spectral Imaging II: 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

  • Contribution of Remote Sensing on Crop Models: A Review

    Dimitrios A. Kasampalis;Thomas K. Alexandridis;Chetan Deva;Andrew Challinor

  • Active learning system for weed species recognition based on hyperspectral sensing

    Xanthoula-Eirini Pantazi;Dimitrios Moshou;Cedric Bravo

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

    I. Gravalos;D. Moshou;Th. Gialamas;P. Xyradakis

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

    D. Moshou;C. Bravo;R. Oberti;J.S. West

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

    Juan Xing;Cedric Bravo;Dimitrios Moshou;Herman Ramon

  • A machine learning approach for the condition monitoring of rotating machinery

    Dimitrios Kateris;Dimitrios Moshou;Xanthoula-Eirini Pantazi;Ioannis Gravalos

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

    D. Moshou;C. Bravo;S. Wahlen;J. West

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

    Xanthoula Eirini Pantazi;Alexandra A. Tamouridou;Thomas Alexandridis;Anastasia L. Lagopodi

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

    Koen Deprez;Dimitrios Moshou;Jan Anthonis;Josse De Baerdemaeker

  • A neural network based plant classifier.

    Dimitrios Moshou;Els Vrindts;Bart De Ketelaere;Josse De Baerdemaeker

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

    Dimitrios Moshou;Xanthoula-Eirini Pantazi;Dimitrios Kateris;Ioannis Gravalos

  • Foliar Disease Detection in the Field Using Optical Sensor Fusion

    C. Bravo;D. Moshou;R. Oberti;J. West

Frequent Co-Authors

Herman Ramon
Herman Ramon KU Leuven
Dionysis Bochtis
Dionysis Bochtis Aarhus University
Abdul Mounem Mouazen
Abdul Mounem Mouazen Ghent University
Eleni Katragkou
Eleni Katragkou Aristotle University of Thessaloniki
Reto J. Strasser
Reto J. Strasser University of Geneva
Andrew J. Challinor
Andrew J. Challinor University of Leeds
Jan G. P. W. Clevers
Jan G. P. W. Clevers Wageningen University & Research
Jes Olesen
Jes Olesen University of Copenhagen
Jan Swevers
Jan Swevers KU Leuven
Grigory Nikulin
Grigory Nikulin Swedish Meteorological and Hydrological Institute

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