Author:

This new Horizon Europe project, coordinated by FUNDITEC, will involve the participation of 18 partners from 9 countries seeking to protect potato plants against pests spreading by means of resistance genes characterization, pre-harvest innovative treatments, and post-harvest sustainable solutions. The objectives are: 1) Characterize at molecular level the ecological pest spread pathway and identify potato disease resistance varieties against Candidatus Liberibacter solanacearum (CLso) and postharvest pathogens as F. sambucinum, C. coccodes, H. solani.2) Provide effective […]

Estrategias eficaces de gestión del cultivo de la patata para hacer frente a las futuras amenazas de plagas La patata es un cultivo clave en Europa (12 400 millones de euros, 2020). Sin embargo, se considera vulnerable a una variedad de plagas y enfermedades patógenas transmitidas por el suelo. Una de las plagas más importantes es la provocada por la bacteria Candidatus Liberibacter solanacearum (CLso), y cuya enfermedad se conoce como chip cebra (ZC). Información […]

Detecta has relied on artificial intelligence, the digital twin and black box environments to create a working environment that can predict both physical incidents and cyber-attacks. Industry 4.0 has accelerated the digitization of productive operations, fostering a remarkable increase in productivity to serve the decentralized economy of the post-covid era. This paradigm shift towards hyper-connected systems has put the maintenance function and the sustainability of manufacturing processes to the test with new risks, not only […]

Generation of predictive knowledge for the early detection of anomalies in industrial manufacturing processes. Abstract The DETECTA project focuses on the generation of predictive knowledge for the early detection of anomalies in industrial manufacturing processes.  The main objective is to anticipate incidents caused by component failures or malfunctions in industrial component manufacturing environments. Digitalization and connectivity introduce new risks, but cybersecurity technologies still have limitations in heterogeneous industrial environments.  The DETECTA project collaborates with knowledge […]

In the final stretch of the Detecta project we want to transfer in a direct and close way, in interview format, the contributions made during the project by the members of the consortium. This is a series of interviews in which Álvaro García, from CIDAUT; Tomás Castro, from AEI Ciberseguridad; Olga Chacel, from FACYL; José Félix Ovejero, from Industrias Maxi; and Alejandro Echeverría, from Funditec, have talked about aspects such as the advantages of the […]

One of the actions included in the Detecta project is the investigation of the Digital Twin concept in industrial manufacturing environments, using non-intrusive physical-digital characterization techniques to support a hybrid approach applied to predictive maintenance and cyber-security tasks through the detection of anomalies. In this research process, it is concluded that digitization gives the production process several analysis capabilities that enable continuous process improvement. However, changes on an industrial scale require the identification of intelligent […]