The course aims at providing students notions regarding a set of key trends in the food supply chain, and at introducing students to technical and managerial tools to analyse the complex food ecosystem and to confront with practical challenges faced by different players of the food system. The course analyses trends and challenges connected to the sustainable development of the food industry through the lens of the framework of the SDGs.
This course is delivered in the following Degree Programme:
The objective of the SIVEQ project is to use emerging technologies for the collection (5G, NB-IoT) and processing (Big Data Analytics) of surplus food data from supermarkets and to develop a collection process that minimises waste. The ultimate goal of the project is to build a software and hardware platform for optimising the process of recovery and distribution of surplus food to charities that is low cost, replicable and adaptable to a wide range of contexts.
Scientific Coordinator: Maurizio Magarini
The aim of the project is to create a virtual model of each plant in a crop and monitor its health status through various sensors. Ultimately, the researchers wish to make it possible to carry out localised interventions in the event of disease or stress, thus reducing non-targeted interventions and the consequent waste of water and nutrients, whilst also minimising the use of pesticides. The long-term goal is to achieve sustainable agriculture through the use of Industry 4.0 technologies.
Scientific Coordinator: Matteo Matteucci
This project deals with the recovery of surplus food generated by actors in the food supply chain and its redistribution to underprivileged people through cross-sector partnerships (e.g. business donors, food banks and NPOs, local governments).
Scientific Coordinator: Paola Garrone