Digital technologies and agricultural data for innovating rural communities

Rural and remote areas are still facing major challenges when it to comes to connectivity solutions. From the rough terrain and lower population density to the cost or difficulty of deployment, these types of locations remain largely unconnected to the internet. In a world in full ecological and digital transition, there is an urgent need...

Article developed under DEMETER selected as Editor’s Choice Article

The article “Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse”, developed under H2020 DEMETER has been selected as an “Editor’s Choice Article” in Sensors MDPI . The article was authored by Sandro Augusto Magalhães (INESC TEC and University of Porto), Luís Castro (INESC TEC and University...