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

A. Anagnostis, A. Tagarakis, G. Asiminari, E. Papageorgiou, D. Kateris, D. Moshou, and D. Bochtis. Comput. Electron. Agric., (2021)

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Dimitrios Papanastasiou

Dimitrios Tourpalis

Dimitrios Moulalis

Dimitrios Tassiopoulos

Dimitrios Dadaliaris

Other publications of authors with the same name

Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images.T. Alexandridis, A. Tamouridou, X. Pantazi, A. Lagopodi, J. Kashefi, G. Ovakoglou, V. Polychronos, and D. Moshou. Sensors, 17 (9): 2007 (2017)Evaluation of hierarchical self-organising maps for weed mapping using UAS multispectral imagery.X. Pantazi, A. Tamouridou, T. Alexandridis, A. Lagopodi, J. Kashefi, and D. Moshou. Comput. Electron. Agric., (2017)Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers.X. Pantazi, D. Moshou, and A. Tamouridou. Comput. Electron. Agric., (2019)Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning.A. Morellos, X. Pantazi, C. Paraskevas, and D. Moshou. Remote. Sens., 14 (18): 4648 (2022)Enhancing Food Security Through the Africultures Project: Design of Crop, Water and Drought Services.T. Alexandridis, D. Moshou, S. García, G. Nikulin, J. Beltran, G. Laneve, E. Katragkou, I. Cherif, G. Ovakoglou, D. Kasampalis and 3 other author(s). IGARSS, page 6287-6290. IEEE, (2019)Prediction of spreading processes using a supervised Self-Organizing Map.D. Moshou, K. Deprez, and H. Ramon. Math. Comput. Simul., 65 (1-2): 77-85 (2004)Dynamic muscle fatigue detection using self-organizing maps.D. Moshou, I. Hostens, G. Papaioannou, and H. Ramon. Appl. Soft Comput., 5 (4): 391-398 (2005)Smart environments and ambient intelligence in agricultural and environmental technology.A. Muñoz, J. Park, A. Mouazen, J. Oliveira, and D. Moshou. J. Ambient Intell. Smart Environ., 12 (5): 377-378 (2020)Implementing Sentinel-2 Data and Machine Learning to Detect Plant Stress in Olive Groves.I. Navrozidis, T. Alexandridis, D. Moshou, A. Haugommard, and A. Lagopodi. Remote. Sens., 14 (23): 5947 (December 2022)Comparing Machine Learning Algorithms for Surface Water Mapping using Sentinel-1 Data.X. Pantazi, I. Cherif, A. Tamouridou, D. Moshou, G. Ovakoglou, T. Alexandridis, X. Tseni, S. Kalaitzopoulou, and S. Mourelatos. HAICTA, volume 2761 of CEUR Workshop Proceedings, page 227-235. CEUR-WS.org, (2020)

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Disambiguation of "Moshou, Dimitrios"

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

Please choose a person to relate this publication to

Dimitrios Papanastasiou

Dimitrios Tourpalis

Dimitrios Moulalis

Dimitrios Tassiopoulos

Dimitrios Dadaliaris

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Moshou, Dimitrios"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A deep learning approach for anthracnose infected trees classification in walnut orchards.

Please choose a person to relate this publication to

Dimitrios Papanastasiou

Dimitrios Tourpalis

Dimitrios Moulalis

Dimitrios Tassiopoulos

Dimitrios Dadaliaris

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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A deep learning approach for anthracnose infected trees classification in walnut orchards.