Personal profile
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
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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Dive into the research topics where Jone Echazarra Huguet is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Digitalizing greenhouse trials: An automated approach for efficient and objective assessment of plant damage using deep learning
Gómez-Zamanillo, L., Bereciartúa-Pérez, A., Picón, A., Parra, L., Oldenbuerger, M., Navarra-Mestre, R., Klukas, C., Eggers, T. & Echazarra, J., Jun 2025, In: Artificial Intelligence in Agriculture. 15, 2, p. 280-295 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile25 Downloads (Pure) -
Deep learning-based instance segmentation for improved pepper phenotyping
Gómez-Zamanillo, L., Galán, P., Bereciartúa-Pérez, A., Picón, A., Moreno, J. M., Berns, M. & Echazarra, J., Dec 2024, In: Smart Agricultural Technology. 9, 100555.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus) -
Estimation of flea beetle damage in the field using a multistage deep learning-based solution
Bereciartua-Pérez, A., Monzón, M., Múgica, D., De Both, G., Baert, J., Hedges, B., Fox, N., Echazarra, J. & Navarra-Mestre, R., Sept 2024, In: Artificial Intelligence in Agriculture. 13, p. 18-31 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)1 Downloads (Pure) -
Damage assessment of soybean and redroot amaranth plants in greenhouse through biomass estimation and deep learning-based symptom classification
Gómez-Zamanillo, L., Bereciartua-Pérez, A., Picón, A., Parra, L., Oldenbuerger, M., Navarra-Mestre, R., Klukas, C., Eggers, T. & Echazarra, J., Oct 2023, In: Smart Agricultural Technology. 5, 100243.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Citations (Scopus)2 Downloads (Pure) -
Deep Learning-Based Method for Accurate Real-Time Seed Detection in Glass Bottle Manufacturing
Bereciartua-Perez, A., Duro, G., Echazarra, J., González, F. J., Serrano, A. & Irizar, L., 4 Nov 2022, In: Applied Sciences. 12, 21, p. 11192 1 p., 11192.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus)8 Downloads (Pure)