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Emerging Technologies for Smart Industry Research Group

The Emerging Technologies for Smart Industry Research Group focuses on the development and application of innovative technological solutions for the digital transformation of industry. This initiative seeks to integrate the latest emerging technologies to improve the efficiency, productivity, and sustainability of industrial processes. The group’s mission is to research and develop solutions based on emerging technologies, such as IoT, Artificial Intelligence, and Digital Twins, among others. It also aims to promote the adoption of Industry 4.0 technologies in traditional industrial processes, develop methodologies for the effective implementation of predictive maintenance, and foster innovation in industrial automation and cyber-physical systems.

  1. Decentralized applications using fog or edge computing for data-driven industrial optimization.
  2. IIoT (Industrial Internet of Things) and Big Data systems to complement maintenance and supervision processes at medium and large scales.
  3. Instrumentation and actuation in cyber-physical systems.
  4. Real-time embedded systems to ensure high performance and reliability of robots and dedicated industrial machinery.
  • Evaluate the effect of different protocols for applying magnetic fields on crops, soil samples, and biofertilizers, on the productivity and quality of the harvested product
    Participants: UTEC
    Funding: UTEC
  • Technological system prototype for determining pasture availability in production systems
    Participants: UTEC
    Funding: UTEC
  • Advances in the digital transformation of the agroindustry: INIA case study
    Participants: UTEC, INIA
  • Prominerva Alliance – Transition from the Third to the Fourth Industrial Revolution: DCIM 900 case study
    Participants: UTEC
  • Acero, D., Quiroga, D., & Franco, J. (2023). Feasibility assessment of antennas for Sub 1 GHz IoT networks prototyped at UTEC’s ITRSO. LINKS, International Journal, Technological University, Uruguay, Volume I (1), pp. 24–39.
  • Acero, D. M. S. (2023). Performance evaluation of 4 different types of antennas in the sub-1GHz range fabricated at UTEC’s ITRSO [Presentation]. III Engineering Conference ITR SO, Fray Bentos, Uruguay.
  • Jiménez, H., Umpiérrez, M. L., Panzl, M. V., & Quiroga, D. (2024). Application of magnetic fields in agricultural production [Presentation]. 1st Technology and Biosciences Congress, Uruguay.
  • Quiroga. D. , Juan Pablo Franco , Yazmin Bentancour , Rocío Soledad Martínez , Waller A. (2025). Digital twins as a tool for data-driven decision making in pasture-based livestock production.
  • Quiroga. D. , H. Jimenez , Umpierrez, M. , M.V. Panzl , Rios P. , García D. (2025) Smart agriculture with magneto-stimulation in tomato seeds: embedded system solutions for data collection in the process. IEEE 3rd Conference on AgriFood Electronics (CAFE), Montevideo, Uruguay. 
  • Quiroga. D. , J. Martinez , M. Arbiza, C. Hernandez (2025) Model-Driven Approach to Data Collection in Greenhouse Cultivation Systems (2025) IEEE 3rd Conference on AgriFood Electronics (CAFE), Montevideo, Uruguay.
  • Rios, D. Quiroga, H. Jimenez, M. Umpierrez, M.V. Panzl. (2025). Seguimiento de la germinación acumulada de semillas de tomate mediante inteligencia artificial [presentación]. Conferencia internacional en aplicaciones de inteligencia artificial, Durazno, Uruguay.
  • Yazmín Bentancour, Diego Quiroga, Alicia Waller, Rocío  Martínez, Juan P. Franco, Ivan Elgue (2025). Desarrollo y Aplicación de un Gemelo Digital para el Monitoreo y Análisis de la Disponibilidad de Pasturas [Poster]. II Encuentro de investigadores UTEC, Rivera, Uruguay.
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