This paper presents the design and deployment of an integrated microclimate monitoring and automated irrigation system implemented in a pilot greenhouse as part of the European REGACE project. The system was developed to enable high-resolution, real-time monitoring of key environmental parameters such as air temperature, relative humidity, soil moisture, and light intensity, while also automating irrigation based on sensor feedback. The system aims to support data-driven crop management decisions while optimizing water use efficiency in a dynamic greenhouse environment. The architecture includes a network of calibrated sensors, programmable logic for irrigation control, and centralized data logging for analysis. The system was installed and validated in a greenhouse equipped with integrated photovoltaic panels, adding further complexity to light and temperature dynamics. Preliminary observations confirm the stability and responsiveness of the system, which provides the foundation for future integration with predictive models and energy-use optimization strategies.

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Design and Implementation of an Integrated Microclimate Monitoring and Irrigation System for a Pilot Greenhouse in the REGACE Project

  • Gianluigi Bovesecchi,
  • Luca Rosati,
  • Francesco Biso,
  • Marco Berardo Di Stefano,
  • Fabio Cervone,
  • Ibrahim Yehia,
  • Cristina Cornaro

摘要

This paper presents the design and deployment of an integrated microclimate monitoring and automated irrigation system implemented in a pilot greenhouse as part of the European REGACE project. The system was developed to enable high-resolution, real-time monitoring of key environmental parameters such as air temperature, relative humidity, soil moisture, and light intensity, while also automating irrigation based on sensor feedback. The system aims to support data-driven crop management decisions while optimizing water use efficiency in a dynamic greenhouse environment. The architecture includes a network of calibrated sensors, programmable logic for irrigation control, and centralized data logging for analysis. The system was installed and validated in a greenhouse equipped with integrated photovoltaic panels, adding further complexity to light and temperature dynamics. Preliminary observations confirm the stability and responsiveness of the system, which provides the foundation for future integration with predictive models and energy-use optimization strategies.