The purpose of this learning scenario is to discover and propose a variety of hardy plants (plants that can survive adverse growing conditions) that act as a nature-based solution (NBS) to green cities, urban heat and oxygen production as well as citizens' well being. These plants can be planted to various spots of the city to make the city sustainable. Although this learning scenario uses a suburb of Athens as an example, it can be implemented using other cities and areas as a basis. Students are going to visit a green area (in this case: Nea Filadelfeia Park of Athens) to search and take photographs of various plants. The plants in the park are adapted to the city microclimate but the students have to seek for those with less maintenance needs. These photographs are going to be imported in Pl@ntNet, a citizen science project for automatic plant identification through photographs based on machine learning, so as to discover which of the plants are hardy according to Greek hardiness zone map (a map with geographic areas defined to encompass a certain range of climatic conditions relevant to plant growth and survival). A Padlet with the hardy plants that students have detected, is created and is communicated to the local municipality. Nea Filadelfeia Park covers 480 hectares and features a wide variety of flora.

https://athensattica.com/things-to-do/parks/nea-philadelpheia-park/