💎 Idea
RecoverLink™ is an AI and Copernicus based solution for agriculture that uses a fragmentation algorithm to analyze land moisture and vegetation. Our system optimizes buffer forest planting for better soil water retention and reduced soil carbon footprint. With our user-friendly interface and comprehensive soil analysis, RecoverLink™ is the perfect solution for governmental agencies looking to help farmers improve their crop yield and reduce their environmental impact and also try to limit the pesticides and fertilizers usage according with the Green Deal.
🛰️ EU space technologies
RecoverLink™ uses data from the Copernicus dataspace in order to be able to provide continuously updating information, very useful for monitoring, analyzing and implementing the full potential of the buffer forests. We have used data from the Sentinel 2 Satellite, such as NDVI and Moisture Index, along with the True Color filter. Also, in order to help improving the erosion and landslide situations, the DEM filter is planned to be introduced in our project.
⛑️ Space for International Development & Humanitarian Aid
RecoverLink™ aims to solve the #2 "Strengthening food security & access to clean water" task
🤼 Team
Parvan Daniel - Student at ‘’Ana Aslan’’ High School Timisoara
Project Manager & Front-End Developer
Dubei Serban - Student at ‘’Ana Aslan’’ High School Timisoara
Machine Learning Engineer
Sarateanu Veronica, PhD - Assoc. Prof. At University of Life Sciences ‘’King Michael I’’ from Timisoara, Romania
Data Scientist
Purle Andrei - Student at West University of Timisoara
Algorithm Designer
Patrut Andrei - Student at Polytechnic University of Timisoara
Data Analyst