Borja Espejo-García

16 papers C 1Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Foundation vision models in agriculture: DINOv2, LoRA and knowledge distillation for disease and weed identification.
Comput. Electron. Agric.
Borja Espejo-García, Ronja Güldenring, Lazaros Nalpantidis, Spyros Fountas
2024 J jnl
Agriculture 5.0: Cutting-Edge Technologies, Trends, and Challenges.
IT Prof.
Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Marilena Gemtou, Hercules Panoutsopoulos, Evangelos Anastasiou
2024 J jnl
Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT.
Comput. Electron. Agric.
Hercules Panoutsopoulos, Borja Espejo-García, Stephan Raaijmakers, Xu Wang, Spyros Fountas, Christopher Brewster
2024 C conf
Optimizing Crop Yield Prediction: Inter-Dated Vegetation Indices & Automl Ensembles in Processing Tomato Crop.
IGARSS
Nicoleta Darra, Borja Espejo-García, Emmanouil Psomiadis, Spyros Fountas
2023 J jnl
Can Satellites Predict Yield? Ensemble Machine Learning and Statistical Analysis of Sentinel-2 Imagery for Processing Tomato Yield Prediction.
Sensors
Nicoleta Darra, Borja Espejo-García, Aikaterini Kasimati, Olga Kriezi, Emmanouil Psomiadis, Spyros Fountas
2023 J jnl
Top-tuning on transformers and data augmentation transferring for boosting the performance of weed identification.
Comput. Electron. Agric.
Borja Espejo-García, Hercules Panoutsopoulos, Evangelos Anastasiou, Francisco Javier Rodríguez-Rigueiro, Spyros Fountas
2022 J jnl
Assessment of Different Object Detectors for the Maturity Level Classification of Broccoli Crops Using UAV Imagery.
Remote. Sens.
Vasilis Psiroukis, Borja Espejo-García, Andreas Chitos, Athanasios Dedousis, Konstantinos Karantzalos, Spyros Fountas
2022 J jnl
Predicting Grape Sugar Content under Quality Attributes Using Normalized Difference Vegetation Index Data and Automated Machine Learning.
Sensors
Aikaterini Kasimati, Borja Espejo-García, Nicoleta Darra, Spyros Fountas
2022 J jnl
Using EfficientNet and transfer learning for image-based diagnosis of nutrient deficiencies.
Comput. Electron. Agric.
Borja Espejo-García, Ioannis Malounas, Nikos Mylonas, Aikaterini Kasimati, Spyros Fountas
2020 J jnl
Improving weeds identification with a repository of agricultural pre-trained deep neural networks.
Comput. Electron. Agric.
Borja Espejo-García, Nikolaos Mylonas, Loukas Athanasakos, Spyros Fountas
2020 J jnl
The Future of Digital Agriculture: Technologies and Opportunities.
IT Prof.
Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Nikolaos Mylonas, Nicoleta Darra
2020 J jnl
Towards weeds identification assistance through transfer learning.
Comput. Electron. Agric.
Borja Espejo-García, Nikos Mylonas, Loukas Athanasakos, Spyros Fountas, Ioannis Vasilakoglou
2019 J jnl
End-to-end sequence labeling via deep learning for automatic extraction of agricultural regulations.
Comput. Electron. Agric.
Borja Espejo-García, Francisco J. López-Pellicer, Javier Lacasta, Ramon Piedrafita Moreno, F. Javier Zarazaga-Soria
2018 J jnl
Agricultural recommendation system for crop protection.
Comput. Electron. Agric.
Javier Lacasta, Francisco J. López-Pellicer, Borja Espejo-García, Javier Nogueras-Iso, F. Javier Zarazaga-Soria
2018 J jnl
Machine learning for automatic rule classification of agricultural regulations: A case study in Spain.
Comput. Electron. Agric.
Borja Espejo-García, Jorge Martínez-Guanter, Manuel Pérez-Ruiz, Francisco J. López-Pellicer, F. Javier Zarazaga-Soria
2017 J jnl
Aggregation-based information retrieval system for geospatial data catalogs.
Int. J. Geogr. Inf. Sci.
Javier Lacasta, Francisco Javier López-Pellicer, Borja Espejo-García, Javier Nogueras-Iso, F. Javier Zarazaga-Soria