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.

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.



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: .

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.