SAMM_IRO Operational Group: Smart monitoring tools for irrigation and phytosanitary management in olive groves

The SAMM_IRO platform will provide real-time information on the climate-soil-plant context of olive cultivation at the right time, enabling rapid decision-making for the efficient management of water and nutrient resources. This will allow for optimized irrigation and plant health management, resulting in increased productivity for farmers.

The GO objectives will be achieved through a series of technological innovations planned for the project. These will be implemented during the execution of the different modules into which the future platform is structured. These modules will build a network of cutting-edge IoT sensors, which, together with remote sensing data, will feed a Big Data infrastructure.

And with the analytical tools made possible by this Big Data infrastructure (primarily AI/ML-based tools), descriptive and predictive models will be developed for olive grove irrigation and phytosanitary management. These components exist in other Smart-Sustainable Agriculture solutions, but the added value proposed by the GO lies fundamentally in how these various, already fairly common, components are articulated and in disseminating their main features among olive farmers.

These key aspects of disseminating Smart Agriculture components include the quality and quantity of sensors incorporated into IoT networks, the massive use of remote sensing data from public and open sources, the efficiency of storage in Big Data repositories, and the amount of information available for predictive models and the resulting increase in their quality that this makes possible.