Publications
Journals
Giakoumoglou, E. M. Pechlivani, D. Tzovaras, “Generate-Paste-Blend-Detect: Synthetic dataset for object detection in the agriculture domain”, Smart Agricultural Technology, 5, 100258, (2023).
Giakoumoglou, E. M. Pechlivani, A. Sakelliou, C. Klaridopoulos, N. Frangakis, D. Tzovaras, “Deep learning-based multi-spectral identification of grey mould”, Smart Agricultural Technology, 4, 100174, 2023. https://doi.org/10.1016/j.atech.2023.100174
Gkogkos, G., Lourenço, P., Pechlivani, E.M., Encarnação, L., Votis, K., Giakoumoglou, N., da Silva, J.M. and Tzovaras, D., 2023. Distributed Ledger Technologies for Food Sustainability indexing. Smart Agricultural Technology, p.100312.
Chandrou, E.; Faliagka, S.; Mourantian, A.; Kollaros, M.G.; Karamanoli, K.; Pechlivani, E.-M.; Katsoulas, N.; Levizou, E. Exploring the Potential of Biostimulants to Optimize Lettuce Cultivation in Coupled and Decoupled Aquaponics Systems: Growth Performance, Functional Characteristics and Metabolomic Analysis. Horticulturae 2024, 10, 514. https://doi.org/10.3390/horticulturae10050514
Faliagka, S.; Kountrias, G.; Dimitriou, E.; Álvarez-Gil, M.; Blanco-Vieites, M.; Magrassi, F.; Notari, M.; Pechlivani, E.M.; Katsoulas, N. Development of a Greenhouse Wastewater Stream Utilization System for On-Site Microalgae-Based Biostimulant Production. AgriEngineering 2024, 6, 1898-1923. https://doi.org/10.3390/agriengineering6030111
Kouzinopoulos, C.S.; Pechlivani, E.M.; Giakoumoglou, N.; Papaioannou, A.; Pemas, S.; Christakakis, P.; Ioannidis, D.; Tzovaras, D. A Citizen Science Tool Based on an Energy Autonomous Embedded System with Environmental Sensors and Hyperspectral Imaging. J. Low Power Electron. Appl. 2024, 14, 19. https://doi.org/10.3390/jlpea14020019
Giakoumoglou, N.; Pechlivani, E.-M.; Frangakis, N.; Tzovaras, D. Enhancing Tuta absoluta Detection on Tomato Plants: Ensemble Techniques and Deep Learning. AI 2023, 4, 996-1009. https://doi.org/10.3390/ai4040050
Nikolaos Giakoumoglou, Eleni Kalogeropoulou, Christos Klaridopoulos, Eleftheria Maria Pechlivani, Panagiotis Christakakis, Emilia Markellou, Nikolaos Frangakis, Dimitrios Tzovaras, Early detection of Botrytis cinerea symptoms using deep learning multi-spectral image segmentation, Smart Agricultural Technology, Volume 8, 2024, 100481, ISSN 2772-3755, https://doi.org/10.1016/j.atech.2024.100481
Nikolaos Giakoumoglou, Tomas Björnfot, David Suárez Montes, María Álvarez-Gil, Dag Ilver, Eleftheria Maria Pechlivani, Artificial Intelligence-based Flow Cytometer for Real-time Algae Monitoring, Procedia Computer Science, Volume 237, 2024, Pages 320-327, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.05.111
Nikolaos Giakoumoglou, Georgios Pediaditis, Eleftheria-Maria Pechlivani, Dimitrios Tzovaras, Deep Learning-based Lightweight Models for Bactrocera Oleae Detection, Procedia Computer Science, Volume 237, 2024, Pages 313-319, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.05.110
Tsiakas, K.; Papadimitriou, A.; Pechlivani, E.M.; Giakoumis, D.; Frangakis, N.; Gasteratos, A.; Tzovaras, D. An Autonomous Navigation Framework for Holonomic Mobile Robots in Confined Agricultural Environments. Robotics 2023, 12, 146. https://doi.org/10.3390/robotics12060146
Pemas, S.; Gkiliopoulos, D.; Samiotaki, C.; Bikiaris, D.N.; Terzopoulou, Z.; Pechlivani, E.M. Valorization of Tomato Agricultural Waste for 3D-Printed Polymer Composites Based on Poly(lactic acid). Polymers 2024, 16, 1536. https://doi.org/10.3390/polym16111536
Christakakis, N. Giakoumoglou, D. Kapetas, D. Tzovaras, E. M. Pechlivani, “Vision Transformers in Optimization of AI-Based Early Detection of Botrytis cinerea”, , AI 2024, 5, 1301-1323, https://doi.org/10.3390/ai5030063
Christakakis, G. Papadopoulou, G. Mikos, N. Kalogiannidis, D. Ioannidis, D. Tzovaras, E. M. Pechlivani, “Smartphone-Based Citizen Science Tool for Plant Disease and Insect Pest Detection Using Artificial Intelligence”, Technologies 2024, 12, 101. https://doi.org/10.3390/technologies12070101
Pemas, E. Xanthopoulou, Z. Terzopoulou, G. Konstantopoulos, D. N. Bikiaris, C. Kottaridi, D. Tzovaras, E. M. Pechlivani, “Exploration of Methodologies for Developing Antimicrobial Fused Filament Fabrication Parts.”, Materials 2023, 16, 6937. https://doi.org/10.3390/ma16216937
M. Pechlivani, A. Papadimitriou, S. Pemas, N. Giakoumoglou, D. Tzovaras, “Low-Cost Hyperspectral Imaging Device for Portable Remote Sensing.”, Instruments 2023, 7, 32. https://doi.org/10.3390/instruments7040032
M. Pechlivani, S. Pemas, A. Kanlis, P. Pechlivani, S. Petrakis, A. Papadimitriou, D. Tzovaras, K. E. Hatzistergos, “Enhanced Growth of Bacterial Cells in a Smart 3D Printed Bioreactor.”, Micromachines 2023, 14, 1829. https://doi.org/10.3390/mi14101829
M. Pechlivani, A. Papadimitriou, S. Pemas, G. Ntinas, D. Tzovaras, “IoT-Based Agro-Toolbox for Soil Analysis and Environmental Monitoring.”, Micromachines 2023, 14, 1698. https://doi.org/10.3390/mi14091698
Conferences
SIDROCO at the 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), conference proceedings in IEEE Xplore (poster).
DOI: 0.1109/MOCAST54814.2022.9837534 | Link: https://ieeexplore.ieee.org/document/9837534 .
Giakoumoglou, N., Pechlivani, E.M., Katsoulas, N. and Tzovaras, D., 2022, December. White flies and black aphids detection in field vegetable crops using deep learning. In 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS) (pp. 1-6). IEEE.
DOI: 10.1109/IPAS55744.2022.10052855
Pechlivani, E.M., Gkogkos, G., Giakoumoglou, N., Hadjigeorgiou, I. and Tzovaras, D., 2023, June. Towards Sustainable Farming: A Robust Decision Support System’s Architecture for Agriculture 4.0. In 2023 24th International Conference on Digital Signal Processing (DSP) (pp. 1-5). IEEE.
DOI: 10.1109/DSP58604.2023.10167922
Butinyac, M.G., Montaño, V.A., Downes, J., Ruane, N.M., Ryder, E., Egan, F., Staessen, T., Paull, B. and Murray, E., 2023. Continuous nitrite and nitrate monitoring of recirculating aquaculture systems using a deployable ion chromatography-based analyser. Aquaculture International, pp.1-14.
Pechlivani, E.M., Papadimitriou, A., Pemas, S., Ntinas, G. and Tzovaras, D., 2023. IoT-Based Agro-Toolbox for Soil Analysis and Environmental Monitoring. Micromachines, 14(9), p.1698.
G. Gkogkos, N. Giakoumoglou, E. M. Pechlivani, K. Votis and D. Tzovaras, “Artificial Intelligence Data Model Verification through Distributed Ledger Technology,” 2024 28th International Conference on Information Technology (IT), Zabljak, Montenegro, 2024, pp. 1-6,
Eleftheriadis, G. Andronikidis, K. Kyranou, E. M. Pechlivani, I. Hadjigeorgiou and Z. Batzos, “Machine Learning for Cybersecurity Frameworks in Smart Farming,” 2024 28th International Conference on Information Technology (IT), Zabljak, Montenegro, 2024, pp. 1-5,
D. Kapetas, P. Christakakis, V. Goglia, E. M. Pechlivani, “AI-based robotic trap for real-time insect detection, monitoring and population prediction” , 6th IEEE International Conference on Image Processing Applications and Systems (IPAS2025), Lyon, France, 2025, IEEE Xplore (accepted)
G. Gkogkos, E. M. Pechlivani, I. Hadjigeorgiou, D. Ioannidis, D. Tzovaras, “Aquaponic Farming with Advanced Decision Support System: Practical Implementation and Evaluation”, , 6th IEEE International Conference on Image Processing Applications and Systems (IPAS2025), Lyon, France, 2025, IEEE Xplore (accepted)
P. Christakakis, D. Kapetas, S. Faliagka, N. Katsoulas, D. Tzovaras, E. M. Pechlivani, “Artificial Intelligence Algorithms Revolutionizing Insect Monitoring and Detection Challenges”, Agricultural Engineering challenges in existing and new agroecosystems (AgEng) 2024, 1-4 July 2024, Athens, Greece
Christakakis, N. Giakoumoglou, C. Klaridopoulos, E. Kalogeropoulou, D. Tzovaras, E. M. Pechlivani, “Hyperspectral Imaging Based on AI Algorithms for Early Detection of Plant Fungal Diseases”, Agricultural Engineering challenges in existing and new agroecosystems (AgEng) 2024, 1-4 July 2024, Athens, Greece
G. Gkogkos, N. Giakoumoglou, E. M. Pechlivani, K. Votis, D. Tzovaras, “Artificial Intelligence Data Model Verification through Distributed Ledger Technology”, 28th international scientific and professional Conference Information Technology 2024, 21 -24 February 2024, Žabljak, Montenegro, IEEE Xplore
C. Eleftheriadis, Z. Batzos, K. Kyranou, G. Andronikidis, I. Hadjigeorgiou, E. M. Pechlivani, “Machine learning for cyber security frameworks in smart farming”, 28th international scientific and professional Conference Information Technology 2024, 21 -24 February 2024, Žabljak, Montenegro, IEEE Xplore,
Gallitsopoulou, E. M. Pechlivani, S. Tsachouridis, S. Faliagka, N. Giakoumoglou, A. Elvanidi, N. Katsoulas, “In-depth study across various disciplines of the agri-food retail chain on sufficient, safe and healthy food.”, 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT 2023), Ankara, Turkey, 2023, IEEE Xplore,
Katsoulas, S. Faliagka, I. Naounoulis, G. Kountrias, E. Levizou, E. M. Pechlivani, “Effect of Biostimulant Application In Aquaponic Crop Nutrient Uptake and Productivity.”, 13th Panhellenic Conference of the Society of Agricultural Engineers of Greece, E.G.M.E 2023, 19-20 October, Athens, Greece. https://egme.gr/program
Ε. Dimitriou, G. Kountrias, S. Faliagka, E. M. Pechlivani, N. Katsoulas, “Evaluation of Microalgae Biomass Assessment Methods by Spectrometry and Flow Cytometry.”, 13th Panhellenic Conference of the Society of Agricultural Engineers of Greece, E.G.M.E 2023, 19-20 October, Athens, Greece. https://egme.gr/program/
M. Pechlivani, M. Vidal, “Aquaponics: Sustainable, healthy and profitable solution to alleviate the overexplotation of the natural resources.”, AQUACULTURE EUROPE 2023 in Vienna, Austria – September 18-21, 2023. https://eposters.blob.core.windows.net/eas-eposters/AE2023AbstractBook.pdf