To achieve the objectives of AgriProAct and deliver its expected outcomes, an integrated data-driven architecture is defined and progressively developed throughout the project. This approach provides a unified platform that brings together multiple data sources, including satellite imagery, in-situ sensors, and meteorological information, abstracting the complexity of data collection and processing through a set of harmonisation, modelling, and analytics components. The platform enables the generation of parcel-level digital twins, supports the execution of predictive models, and facilitates the delivery of actionable insights through user-oriented tools. These include interfaces for farmers and dashboards for public authorities, allowing users to access forecasts, monitor conditions, and support decision-making. The methodology also incorporates continuous validation through pilot deployments, ensuring that the models and tools are tested, refined, and adapted to real-world agricultural environments.