A low-cost and low-burden secure solution to track small-scale fisheries

It’s a pleasure for our research group to share our latest work entitled  "A low-cost and low-burden secure solution to track small-scale fisheries ". You can find the work here: https://doi.org/10.1109/MetroSea52177.2021.9611622

This work stems from the work carried out by Prof. Adriano Mancini and Alessandro Galdelli (Postdoc), in collaboration with “Istituto per le Risorse Biologiche e le Biotecnologie Marine” of the CNR (CNR-IRBIM) on the implementation of a low-cost and low-burden secure solution to track small-scale fisheries.

The paper proposes a scalable architecture that makes use of a low-cost LoRaWAN/cellular network to acquire and process positioning data from small-scale vessels; preliminary results of a first installation of the prototype are presented, as well as the data collected. The emergence of a such low-cost and open source technology coupled to artificial intelligence could open new opportunities for equipping small-scale vessels, collecting their trajectory data and estimating their fishing effort (information which has historically not been present). It enables a new monitoring strategy that could effectively include small-scale fleets and support the design of new policies oriented to inform coastal resource and fisheries management, and cross-border marine spatial planning

#vrai #cnr #irbim #small_scale_vessel #cloud_computing #fleet_management_system