Artificial Intelligence (AI) plays an increasingly significant role in promoting environmental sustainability by processing large volumes of satellite images for real-time monitoring of the territory and utilizing Machine Learning (ML) to model non-linear relationships between data. This article presents four innovative projects demonstrating AI's importance in achieving environmental sustainability goals. In collaboration with the startup Latitudo 40, two tools have been developed. The first tool supports sustainable land planning by monitoring land use and built-up areas. The second tool provides accurate monitoring of carbon sequestration by green infrastructure, which is essential for balancing industrial emissions. A third project, in collaboration with Eni S.p.A, involves the development of an ML-based platform for the valorization of waste biomass in the production of biofuels. The platform suggests optimal pathways for converting biomass into biofuels, promoting more sustainable energy sources and optimizing environmental resources. The fourth project concerns building an AI system using intelligent cameras to detect fires even at great distances and recognize acts of waste spilling. This project aims to prevent and mitigate the environmental impacts of these events. These four projects showcase AI's potential to promote environmental sustainability and address global challenges. ? 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
AI and Sustainability: Territorial Monitoring and Waste Valorization
Coppola Antonio;
2023
Abstract
Artificial Intelligence (AI) plays an increasingly significant role in promoting environmental sustainability by processing large volumes of satellite images for real-time monitoring of the territory and utilizing Machine Learning (ML) to model non-linear relationships between data. This article presents four innovative projects demonstrating AI's importance in achieving environmental sustainability goals. In collaboration with the startup Latitudo 40, two tools have been developed. The first tool supports sustainable land planning by monitoring land use and built-up areas. The second tool provides accurate monitoring of carbon sequestration by green infrastructure, which is essential for balancing industrial emissions. A third project, in collaboration with Eni S.p.A, involves the development of an ML-based platform for the valorization of waste biomass in the production of biofuels. The platform suggests optimal pathways for converting biomass into biofuels, promoting more sustainable energy sources and optimizing environmental resources. The fourth project concerns building an AI system using intelligent cameras to detect fires even at great distances and recognize acts of waste spilling. This project aims to prevent and mitigate the environmental impacts of these events. These four projects showcase AI's potential to promote environmental sustainability and address global challenges. ? 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
