- A digital platform for improving productivity in cattle breeding systems (Chile), a system for controlling livestock and geofencing (Colombia), and an App for the geolocation of contamination (European Union), were the winning solutions in the contest. Participants included 12 teams from Chile, Argentina, Bolivia, Colombia, Ecuador, and the European Union.
Recently, on May 28 and 29th, the first online Hackathon by the Galileo Information Centre (GIC) took place in Chile to promote the development of new applications using the Global Navigation Satellite System (GNSS) from Europe: Galileo. Data Observatory Foundation and founding partners – Amazon Web Services (AWS) and Universidad Adolfo Ibáñez (UAI) – partnered up for the virtual event that was centred on the application of data science to sustainable development.
During the webinars that were held before the competition, 17 lecturers from the different countries that are included in the Centre: Chile, Argentina, Bolivia, Colombia, Ecuador, and the European Union, offered lessons on using Galileo data, use cases, business funding and development, among other subjects.
Participants had to choose out of ten different challenges aimed at bridging the digital gap, improving wellbeing and health in times of COVID-19, and contributing to sustainable development in the region. The jury was composed of six members to represent each one of the countries and regions where the Centre is open.
The solution that won first place was by the Chilean team Tatajachura, integrated by Álvaro Gómez, Eduardo Hormazábal, Eduardo Gómez, Felipe Bueso, and Sebastián Azocar, and it consists of a digital platform that integrates and packages Internet of Things (IoT) technology, drones, and satellite imagery, delivering real time recommendations for cattle breeders with Artificial Intelligence (AI) and Machine Learning (ML), all aimed at transforming the interaction between the breeders and their main assets. This is made possible mainly due to an efficient use of Galileo, since it allows you to locate the animals and carry out highly precise monitoring of all processes, with the support of JASON Cloud GNSS PPK by Rokubun, a business collaborator that was present in the hackathon, and complemented by scopes of images taken from Copernicus, the European Union’s Earth Observation Programme.
Second place went to the Darmstoides team from the European Union, integrated by Jeet Biswas and Roger Sánchez. Their proposal is based on a system to integrate a collar for cattle that can control their position, along with specific health parameters. The precision of Galileo combined with RTK can determine livestock location, with an accuracy of one cm, in order to establish a correlation and measure the amount of calories that are consumed, while guaranteeing that the cattle will graze within a specific area; the so-called geofencing, With the use of Sentinel-2 images, it is possible to locate zones with better vegetation. These data are sent to the cloud and controlled by the breeders through an application that displays information for each and every one of their animals.
Third place was for the Alfa Centauri team from Colombia, integrated by Luis Alejandro Paternina, Kelly Johana Alvarino, Daniel David Herrera, Angélica Melissa Tuñon, and Raquel Jimena Rey. Their solution, Enawa, consists of a mobile application that gives citizens the opportunity to report highly polluted zones in their cities with photographs on their smartphones. Geolocation is carried out by Galileo. The people who send in the reports will be able to follow-up on them, and witness the environmental improvement processes being implemented in their locality.
All participants will have an equivalent of 5,000 euros in Amazon Web Services (AWS) promotional credits at their disposal.
145 registrations were received for the hackathon, and 12 teams participated; 46% came from Colombia, 18% from Chile, same percentage from Bolivia, 9% from Argentina, and the rest came from Ecuador and the European Union. Regarding the profile of the participants, 28% of them were students, followed by entrepreneurs (26%), researchers (23%), and companies (13%). Age groups had more than 40% of people between 25 and 35 years old, and 25% were under 25.
The hackathon involved 32 collaborators and 15 technical and business mentors.