The Spanish project, BinSight, proposes an innovative solution to reduce food waste and make supply chains smarter. Its development combines an IoT (Internet of Things) prototype with multiple sensors, a cloud infrastructure, machine learning algorithms, and a web dashboard. BinSight offers various cloud-based services tailored to the needs of companies involved in the food supply chain, such as restaurants, governments, social organizations, and composting companies.
Another project,
“Farmero,” was presented by a team from the Technical University of Berlin (Germany). It is an innovative and user-friendly application designed for small farms that uses algorithms to detect crop diseases from infrared images provided by the European Space Agency (Copernicus program). The system will help farmers minimize the amount of fertilizers and pesticides they need, thanks to an accurate assessment of the threats to each area of the field.
The third finalist project is "Weego," presented by the Polytechnic School of Dakar (Senegal). Weego is a predictive bus location application that uses crowdsourced data and machine learning techniques to provide users with the exact location of buses and travel times without requiring an automated vehicle location infrastructure. Weego improves public transportation services, especially in developing countries where bus location infrastructure is scarce and traffic is difficult to predict.
The jury's decision will be announced on July 2nd at a ceremony in Paris. The winning team and the two runners-up will each receive cash prizes of €10,000, €5,000, and €3,000 respectively to help bring their application to market, as well as support from the Atos teams. In addition, all participants in the IT Challenge are invited to apply for an internship at Atos.
