The main propose of AgriLogistics is the creation of a collaborative data space that facilitates access to information for all stakeholders in the agri-food supply chain, with the aim of strengthening logistics and improving its efficiency.
This project seeks to develop a machine learning model to identify risk situations before starting climbing with self-insurer, helping the staff of the center to detect dangers automatically and precisely.