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ORCIDBorja Espejo-García
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2020 – today
- 2024
[j14]Hercules Panoutsopoulos
, Borja Espejo-García, Stephan Raaijmakers, Xu Wang, Spyros Fountas, Christopher Brewster:
Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT. Comput. Electron. Agric. 225: 109268 (2024)- [j13]Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Marilena Gemtou, Hercules Panoutsopoulos, Evangelos Anastasiou:
Agriculture 5.0: Cutting-Edge Technologies, Trends, and Challenges. IT Prof. 26(1): 40-47 (2024) - [c1]Nicoleta Darra, Borja Espejo-García, Emmanouil Psomiadis, Spyros Fountas:
Optimizing Crop Yield Prediction: Inter-Dated Vegetation Indices & Automl Ensembles in Processing Tomato Crop. IGARSS 2024: 4320-4324 - 2023
- [j12]Borja Espejo-García, Hercules Panoutsopoulos, Evangelos Anastasiou, Francisco Javier Rodríguez-Rigueiro, Spyros Fountas:
Top-tuning on transformers and data augmentation transferring for boosting the performance of weed identification. Comput. Electron. Agric. 211: 108055 (2023) - [j11]Nicoleta Darra, Borja Espejo-García, Aikaterini Kasimati, Olga Kriezi, Emmanouil Psomiadis, Spyros Fountas:
Can Satellites Predict Yield? Ensemble Machine Learning and Statistical Analysis of Sentinel-2 Imagery for Processing Tomato Yield Prediction. Sensors 23(5): 2586 (2023) - 2022
- [j10]Borja Espejo-García, Ioannis Malounas, Nikos Mylonas, Aikaterini Kasimati, Spyros Fountas:
Using EfficientNet and transfer learning for image-based diagnosis of nutrient deficiencies. Comput. Electron. Agric. 196: 106868 (2022) - [j9]Vasilis Psiroukis, Borja Espejo-García, Andreas Chitos, Athanasios Dedousis, Konstantinos Karantzalos, Spyros Fountas:
Assessment of Different Object Detectors for the Maturity Level Classification of Broccoli Crops Using UAV Imagery. Remote. Sens. 14(3): 731 (2022) - [j8]Aikaterini Kasimati, Borja Espejo-García, Nicoleta Darra, Spyros Fountas:
Predicting Grape Sugar Content under Quality Attributes Using Normalized Difference Vegetation Index Data and Automated Machine Learning. Sensors 22(9): 3249 (2022) - 2020
- [j7]Borja Espejo-García, Nikos Mylonas, Loukas Athanasakos, Spyros Fountas, Ioannis Vasilakoglou:
Towards weeds identification assistance through transfer learning. Comput. Electron. Agric. 171: 105306 (2020) - [j6]Borja Espejo-García, Nikolaos Mylonas, Loukas Athanasakos, Spyros Fountas:
Improving weeds identification with a repository of agricultural pre-trained deep neural networks. Comput. Electron. Agric. 175: 105593 (2020) - [j5]Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Nikolaos Mylonas, Nicoleta Darra:
The Future of Digital Agriculture: Technologies and Opportunities. IT Prof. 22(1): 24-28 (2020)
2010 – 2019
- 2019
- [j4]Borja Espejo-García, Francisco J. López-Pellicer, Javier Lacasta, Ramon Piedrafita Moreno, F. Javier Zarazaga-Soria:
End-to-end sequence labeling via deep learning for automatic extraction of agricultural regulations. Comput. Electron. Agric. 162: 106-111 (2019) - 2018
- [j3]Borja Espejo-García, Jorge Martínez-Guanter, Manuel Pérez-Ruiz, Francisco J. López-Pellicer, F. Javier Zarazaga-Soria:
Machine learning for automatic rule classification of agricultural regulations: A case study in Spain. Comput. Electron. Agric. 150: 343-352 (2018) - [j2]Javier Lacasta, Francisco J. López-Pellicer, Borja Espejo-García, Javier Nogueras-Iso, F. Javier Zarazaga-Soria:
Agricultural recommendation system for crop protection. Comput. Electron. Agric. 152: 82-89 (2018) - 2017
- [j1]Javier Lacasta, Francisco Javier López-Pellicer, Borja Espejo-García, Javier Nogueras-Iso, F. Javier Zarazaga-Soria:
Aggregation-based information retrieval system for geospatial data catalogs. Int. J. Geogr. Inf. Sci. 31(8): 1583-1605 (2017)
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