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His studies started in 2016 at Politecnico di Torino with the BSc. in Computer Engineering. Then, he specialized in Automation and Cyber-Physical Systems during the MSc. After his graduation in 2021, he started his activity as a researcher at CNR IEIIT, focusing on navigation strategies for autonomous vehicles in precision agriculture scenarios. He is currently a pre-doctoral researcher at Politecnico di Torino, focusing his research in the area of Model-based Control and System Identification.
In precision agriculture, remote sensing is an essential phase in assessing crop status and variability when considering both the spatial and the temporal dimensions. To this aim, the use of unmanned aerial vehicles (UAVs) is growing in popularity, allowing for the autonomous performance of a variety of in-field tasks which are not limited to scout...
In the last years, unmanned aerial vehicles are becoming a reality in the context of precision agriculture, mainly for monitoring, patrolling and remote sensing tasks, but also for 3D map reconstruction. In this paper, we present an innovative approach where a fleet of unmanned aerial vehicles is exploited to perform remote sensing tasks over an ap...
To properly locate and operate autonomous vehicles for in-field tasks, the knowledge of their instantaneous position needs to be combined with an accurate spatial description of their environment. In agricultural fields, when operating inside the crops, GPS data are not reliable nor always available, therefore high-precision maps are difficult to b...