| Towards weeds identification assistance through transfer learning B Espejo-Garcia, N Mylonas, L Athanasakos, S Fountas, I Vasilakoglou Computers and Electronics in Agriculture 171, 105306, 2020 | 267 | 2020 |
| The future of digital agriculture: technologies and opportunities S Fountas, B Espejo-García, A Kasimati, N Mylonas, N Darra IT professional 22 (1), 24-28, 2020 | 157 | 2020 |
| Combining generative adversarial networks and agricultural transfer learning for weeds identification B Espejo-Garcia, N Mylonas, L Athanasakos, E Vali, S Fountas Biosystems Engineering 204, 79-89, 2021 | 94 | 2021 |
| Agricultural recommendation system for crop protection J Lacasta, FJ Lopez-Pellicer, B Espejo-García, J Nogueras-Iso, ... Computers and Electronics in Agriculture 152, 82-89, 2018 | 83 | 2018 |
| Improving weeds identification with a repository of agricultural pre-trained deep neural networks B Espejo-Garcia, N Mylonas, L Athanasakos, S Fountas Computers and Electronics in Agriculture 175, 105593, 2020 | 70 | 2020 |
| 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 | 49 | 2022 |
| Predicting grape sugar content under quality attributes using normalized difference vegetation index data and automated machine learning A Kasimati, B Espejo-García, N Darra, S Fountas Sensors 22 (9), 3249, 2022 | 35 | 2022 |
| Machine learning for automatic rule classification of agricultural regulations: A case study in Spain B Espejo-Garcia, J Martinez-Guanter, M Pérez-Ruiz, FJ Lopez-Pellicer, ... Computers and electronics in agriculture 150, 343-352, 2018 | 34 | 2018 |
| Assessment of different object detectors for the maturity level classification of broccoli crops using UAV imagery V Psiroukis, B Espejo-Garcia, A Chitos, A Dedousis, K Karantzalos, ... Remote Sensing 14 (3), 731, 2022 | 33 | 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 | 30 | 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 | 27 | 2022 |
| End-to-end sequence labeling via deep learning for automatic extraction of agricultural regulations B Espejo-Garcia, FJ Lopez-Pellicer, J Lacasta, RP Moreno, ... Computers and Electronics in Agriculture 162, 106-111, 2019 | 27 | 2019 |
| AI-assisted vision for agricultural robots S Fountas, I Malounas, L Athanasakos, I Avgoustakis, B Espejo-Garcia AgriEngineering 4 (3), 674-694, 2022 | 26 | 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 | 21 | 2021 |
| Agriculture 5.0: Cutting-edge technologies, trends, and challenges S Fountas, B Espejo-García, A Kasimati, M Gemtou, H Panoutsopoulos, ... IT Professional 26 (1), 40-47, 2024 | 18 | 2024 |
| Can satellites predict yield? Ensemble machine learning and statistical analysis of Sentinel-2 imagery for processing tomato yield prediction N Darra, B Espejo-Garcia, A Kasimati, O Kriezi, E Psomiadis, S Fountas Sensors 23 (5), 2586, 2023 | 14 | 2023 |
| Aggregation-based information retrieval system for geospatial data catalogs J Lacasta, FJ Lopez-Pellicer, B Espejo-García, J Nogueras-Iso, ... International Journal of Geographical Information Science 31 (8), 1583-1605, 2017 | 12 | 2017 |
| Top-tuning on transformers and data augmentation transferring for boosting the performance of weed identification B Espejo-Garcia, H Panoutsopoulos, E Anastasiou, ... Computers and Electronics in Agriculture 211, 108055, 2023 | 11 | 2023 |
| Developing a model for the automated identification and extraction of agricultural terms from unstructured text H Panoutsopoulos, C Brewster, B Espejo-Garcia Chemistry Proceedings 10 (1), 94, 2022 | 11 | 2022 |
| Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT H Panoutsopoulos, B Espejo-Garcia, S Raaijmakers, X Wang, S Fountas, ... Computers and Electronics in Agriculture 225, 109268, 2024 | 4 | 2024 |
Spyros FountasAgricultural University of AthensBestätigte E-Mail-Adresse bei aua.gr
