Personal profile
ShortBio
Graduated in Telecommunication Engineering (2017) at Bilbao School of Engineering (UPV/EHU) obtaining the Extraordinary End of Degree Award. She got her Master's degree also in Telecommunication Engineering (2019) at the same university. She currently works as a researcher in the Computer Vision research group at Tecnalia. She works developing deep learning models oriented to computer vision for the digitalization of agricultural processes for multinational companies such as BASF. She is also currently working on her PhD oriented to methods for reducing the annotation effort for developing deep learning models. She is mainly focused on semi-supervised techniques, synthetic image generation and continual learning. She holds 5 European and International patents and 4 publications.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Crop-conditional semantic segmentation for efficient agricultural disease assessment
Picon, A., Eguskiza, I., Galan, P., Gomez-Zamanillo, L., Romero, J., Klukas, C., Bereciartua-Perez, A., Scharner, M. & Navarra-Mestre, R., Mar 2025, In: Artificial Intelligence in Agriculture. 15, 1, p. 79-87 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus)10 Downloads (Pure) -
Interpreting Data in the Absence of Production Time Consistency and Source Tracking
Zubia, A., Gomez, L., Galan, P., Bereciartua-Perez, A. & Puerto-Coy, M., 2025, 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation, ETFA 2025 - Proceedings. Almeida, L., Indria, M., de Sousa, M., Visioli, A., Ashjaei, M. & Santos, P. (eds.). Institute of Electrical and Electronics Engineers Inc., (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Reducing annotation effort in agricultural data: simple and fast unsupervised coreset selection with DINOv2 and K-means
Gómez-Zamanillo, L., Portilla, N., Picón, A., Egusquiza, I., Navarra-Mestre, R., Elola, A. & Bereciartua-Perez, A., 2025, In: Frontiers in Plant Science. 16, 1546756.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Semi-Supervised Approach for Automatic Counting of Whiteflies With Small Annotated Dataset
Gomez-Zamanillo, L., Bereciartua-Perez, A., Elola, A., Picon, A., Alvarez-Gila, A., Egusquiza, I. & Navarra-Mestre, R., 2025, In: IEEE Access. 13, p. 55586-55598 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Taxonomic hierarchical loss function for enhanced crop and weed phenotyping in multi-task semantic segmentation
Picon, A., Mugica, D., Eguskiza, I., Bereciartua-Perez, A., Romero, J., Jimenez, C. J., Klukas, C., Gomez-Zamanillo, L., Eggers, T. & Navarra-Mestre, R., Mar 2025, In: Smart Agricultural Technology. 10, 100761.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure)