The future vision of agriculture has two extreme positions, represented by the High-Tech scenario dominated by large multinationals investing in advanced technologies, and a very strict localism in which the single local communities seek self-sufficiency. This paper analyses a path that enhances a guidance and oversight role at national level, by employing Data-Driven Methodologies and Open Data-based Machine Learning technologies, and by supporting a cultural change through the contribution of emerging disciplines (i.e. design thinking). This new path should not forget the importance of the territorial approach in order to enforce action learning and micro-learning, with a new system that is certainly far from the traditional methods.
Keywords: Innovation, CAP, agricultural development systems.