| Agricultural robotics for field operations S Fountas, N Mylonas, I Malounas, E Rodias, C Hellmann Santos, ... Sensors 20 (9), 2672, 2020 | 254 | 2020 |
| Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review J Wieme, K Mollazade, I Malounas, M Zude-Sasse, M Zhao, A Gowen, ... biosystems engineering 222, 156-176, 2022 | 60 | 2022 |
| Using EfficientNet and transfer learning for image-based diagnosis of nutrient deficiencies B Espejo-Garcia, I Malounas, N Mylonas, A Kasimati, S Fountas Computers and Electronics in Agriculture 196, 106868, 2022 | 28 | 2022 |
| Testing the suitability of automated machine learning for weeds identification B Espejo-Garcia, I Malounas, E Vali, S Fountas Ai 2 (1), 34-47, 2021 | 22 | 2021 |
| Eden library: A long-term database for storing agricultural multi-sensor datasets from uav and proximal platforms N Mylonas, I Malounas, S Mouseti, E Vali, B Espejo-Garcia, S Fountas Smart Agricultural Technology 2, 100028, 2022 | 20 | 2022 |
| Investigating a selection of methods for the prediction of total soluble solids among wine grape quality characteristics using normalized difference vegetation index data from … A Kasimati, B Espejo-Garcia, E Vali, I Malounas, S Fountas Frontiers in Plant Science 12, 683078, 2021 | 15 | 2021 |
| AI-assisted vision for agricultural robots S Fountas, I Malounas, L Athanasakos, I Avgoustakis, B Espejo-Garcia AgriEngineering 4 (3), 674-694, 2022 | 13 | 2022 |
| Monitoring of free-range rabbits using aerial thermal imaging V Psiroukis, I Malounas, N Mylonas, KE Grivakis, S Fountas, ... Smart Agricultural Technology 1, 100002, 2021 | 12 | 2021 |
| Testing the suitability of automated machine learning, hyperspectral imaging and CIELAB color space for proximal in situ fertilization level classification I Malounas, D Lentzou, G Xanthopoulos, S Fountas Smart Agricultural Technology 8, 100437, 2024 | | 2024 |
| Εarly detection of broccoli drought acclimation/stress in agricultural environments utilising proximal hyperspectral imaging and AutoML I Malounas, G Paliouras, D Nikolopoulos, G Liakopoulos, P Bresta, ... Smart Agricultural Technology, 100463, 2024 | | 2024 |
| SpectroFood dataset: A comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation I Malounas, W Vierbergen, S Kutluk, M Zude-Sasse, K Yang, M Zhao, ... Data in Brief 52, 110040, 2024 | | 2024 |
| Testing the Suitability of Automated Machine Learning for Weeds Identification. AI 2021, 2, 34–47 B Espejo-Garcia, I Malounas, E Vali, S Fountas s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Smart Agricultural Technology N Mylonas, I Malounas, S Mouseti, E Vali, B Espejo-Garcia, S Fountas | | |
| Smart Agricultural Technology V Psiroukis, I Malounas, N Mylonas, KE Grivakis, S Fountas, ... | | |
Spyros FountasAgricultural University of AthensVerified email at aua.gr
