We have developed open-source code for fire authorities around the world, including mobile apps for citizens and web apps for admin personnel, which can be used to model the propagation of wildfires in real-time, assisting users to safely evacuate the area using our mobile apps.
We have proposed an effective solution to the contamination of soils and water due to animal manure, by suggesting to transfer this manure from livestock farms to crop fields, to be used as fertilizer. We used Catalonia, Spain as a case study, employing a nature-inspired algorithm based on ants' foraging behaviour to solve the manure distribution problem.
We have considered various algorithms to investigate how swarms of ground robots and/or unmanned aerial vehicles (drones) could collaborate together for solving various tasks in agricultural fields efficiently.
We have predicted parking occupancy in short-term (i.e. next 60 minutes) and in real-time at the central parking station of Arnhem, the Netherlands. Our results have beaten the state-of-art predictions for parking occupancy.