AI4 E2O.Green – from Earth Observation 2 Urban Irrigation AI Optimisation for urban green space overheating and greenhouse gas reduction
Winning project from the 4th Open Call funded by the AI4Copernicus Project
Companies: 3D EXECUTIVE MANAGEMENT SYSTEM / LIST GEOINFORMATIKA / Profida
Country: Croatia | Domain: Agriculture
An interview with the winners – Dario Vuljanko, representing the AI4 E20.Green project
Q: What was your motivation for creating this proposal?
A: Our motivation behind this project was to start bridging the gap from Earth Observation to Energy Optimisation and bring next generation AI, IoT and Remote Sensing supported Green Space Irrigation Management to every Green Space in EU and beyond, in order to foster the rise of climate-neutral cities while making Copernicus data an industry benchmark for sustainable irrigation and energy optimisation of aforementioned green surfaces.
Q: Which is the most critical impact (societal or other) that your project could make (if you could name one)?
A: AI4 E2O.Green AI stack will be the first on the market to transfer and effectively use AI based techniques and Copernicus data for sustainable Urban and Golf Green Space Management. Since low evapotranspiration (ET) rates in the urban environment are partially responsible for higher temperatures in cities, irrigation has been regarded as a potential solution for mitigating urban temperature extremes and drought. Our solution leverages AI for efficient and critical impact on use of water irrigation to mitigate ambient overheating in the built urban environments as well as for the mitigation of greenhouse gas emissions through optimised irrigation of urban green spaces.
Q: Considering the recent funding received through the AI4Copernicus Open Calls, do you have any plans for further development of your idea?
A: All the tools developed within the AI4Copernicus project will firstly be tested for the golf use case and AOIs within the project. Further development of the idea will focus on the application of a technology, in its final form, in real-life conditions. Due to the fact that golf is the most high end/difficult green space case with premium maintenance and grass biomes, it can be easily adapted for any other green space scenario. In addition, and since all the tools developed for golfing will have superior generalisation possibilities to be executed in different AOIs and use cases ranging from urban green irrigation to football, gated community, and motorway green space scenarios. Finally, we plan expansion of the project idea to the E2O.GREEN’s latest product the G Verse (G-Green-Golf) the solution to bring the Copernicus data to Metaverse near you, through provision Space Data Enriched Digital Twin 3D Golf Deep Utility NFT private Metaverse Real Estate Sales and Monitoring Models.
A few words about the project: AI4 E2O.Green will develop an Intelligent next gen deep/green tech Platform powered by AI to enable Urban Green and Golf Space Management Companies to effectively manage irrigation, assets, operations and land fields with a powerful combination of satellite and drones imagery as well as the AR and computer vision connected models. Our vision is to bridge the gap from Earth Observation 2 Energy Optimisation and bring next generation AI, IoT and Remote Sensing supported Green Space Irrigation Management to every Green Space in EU and beyond, in order to foster the rise of climate-neutral cities while making Copernicus data an industry benchmark for sustainable irrigation and energy optimisation of aforementioned green surfaces.