Buscar en RiuNet

Listar

Todo RiuNet

Mi cuenta

Acceder

Ayuda RiuNet

Admin. UPV

Listar por autor "Martínez-España, Raquel"

Mostrando ítems 1-9 de 9

A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers

Guillén-Navarro, Miguel A.; Martínez-España, Raquel; Bueno-Crespo, Andrés; Morales-García, Juan; Ayuso, Belén; Cecilia-Canales, José María (MDPI AG, 2020-12)

[EN] Precision agriculture is a growing sector that improves traditional agricultural processes through the use of new technologies. In southeast Spain, farmers are continuously fighting against harsh conditions caused by ...
A deep learning model to predict lower temperatures in agriculture

Guillén-Navarro, Miguel A.; Martínez-España, Raquel; Llanes, Antonio; Bueno-Crespo, Andrés; Cecilia-Canales, José María (IOS Press, 2020)

[EN] Deep learning techniques provide a novel framework for prediction and classification in decision-making procedures that are widely applied in different fields. Precision agriculture is one of these fields where the ...
A high-performance IoT solution to reduce frost damages in stone fruits

Guillén-Navarro, Miguel A.; Martínez-España, Raquel; López, Belén; Cecilia-Canales, José María (John Wiley & Sons, 2021-01-25)

[EN] Agriculture is one of the key sectors where technology is opening new opportunities to break up the market. The Internet of Things (IoT) could reduce the production costs and increase the product quality by providing ...
COVIDSensing: Social Sensing strategy for the management of the COVID-19 crisis

Sepúlveda, Alicia; Periñán-Pascual, Carlos; Muñoz, Andrés; Martínez-España, Raquel; Hernández-Orallo, Enrique; Cecilia-Canales, José María (MDPI AG, 2021-12)

[EN] The management of the COVID-19 pandemic has been shown to be critical for reducing its dramatic effects. Social sensing can analyse user-contributed data posted daily in social-media services, where participants are ...
Evaluation of low-power devices for smart greenhouse development

Morales-García, Juan; Bueno-Crespo, Andrés; Martínez-España, Raquel; Posadas-Yagüe, Juan-Luis; Manzoni, Pietro; Cecilia-Canales, José María (Springer-Verlag, 2023-02)

[EN] The combination of Artificial Intelligence and the Internet of Things (AIoT) is enabling the next economic revolution in which data and immediacy are at the key players. Agriculture is one of the sectors that can ...
Evaporation Forecasting through Interpretable Data Analysis Techniques

Garrido, M. Carmen; Cadenas, José M.; Bueno-Crespo, Andrés; Martínez-España, Raquel; Cecilia-Canales, José María; Giménez, José G. (MDPI AG, 2022-02)

[EN] Climate change is increasing temperatures and causing periods of water scarcity in arid and semi-arid climates. The agricultural sector is one of the most affected by these changes, having to optimise scarce water ...
Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data

García-Cremades, Santi; Morales-García, Juan; Hernández-Sanjaime, Rocío; Martínez-España, Raquel; Bueno-Crespo, Andrés; Hernández-Orallo, Enrique; López-Espín, José J.; Cecilia-Canales, José María (Nature Publishing Group, 2021-07-26)

[EN] We are witnessing the dramatic consequences of the COVID¿19 pandemic which, unfortunately, go beyond the impact on the health system. Until herd immunity is achieved with vaccines, the only available mechanisms for ...
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning

Guillén-Navarro, Miguel A.; Llanes, Antonio; Imbernón, Baldomero; Martínez-España, Raquel; Bueno-Crespo, Andrés; Cano, Juan-Carlos; Cecilia-Canales, José María (Springer-Verlag, 2021-01)

[EN] The Internet of Things (IoT) is driving the digital revolution. AlSome palliative measures aremost all economic sectors are becoming "Smart" thanks to the analysis of data generated by IoT. This analysis is carried ...
Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network

Navarro, Juan M.; Martínez-España, Raquel; Bueno-Crespo, Andrés; Cecilia-Canales, José María; Martínez, Ramón (MDPI AG, 2020-02)

[EN] Wireless acoustic sensor networks are nowadays an essential tool for noise pollution monitoring and managing in cities. The increased computing capacity of the nodes that create the network is allowing the addition ...