The CROSSCON is a research project that targets developing research ideas into practical techniques and supporting prototypes, and the level of ambition is to validate results in lab conditions that are representative of a complex IoT system (i.e., technology readiness levels TRL 4 and TRL5).

As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.

A proposal for a predictive analysis model for bike-sharing systems based on a mixed model of statistical and machine-learning approaches.The model assumes a Poisson distribution on bike station arrival and departures.