To provide accurate measures of Cross Zonal Capacity, a key parameter is Net Position (the difference between generation and load of a zone). Here we describe our supervised model to predict net position for the next 48h that achieve an MAE of 75.8 and a...
THRUST-AID is an AI-powered automatic powerline defect detection tool, trained on extensive ultra-high resolution aerial imagery data selected from the entire Lithuania’s transmission network. The developed AI analytics software is able to identify high-r...
UrbAlytics aims to bridge Artificial Intelligence with Earth Observations, producing information layers that can support city planners and decision-makers in the context of climate resilience and related challenges in urban areas. This research investigat...
AI4 E2O.GREEN is a pipeline for automated Golf and Grassland Monitoring through interactive maps and computer vision models based on Copernicus data and services.
The project integrates AI-based nowcasting of satellite data and digital twin models of telecommunication assets to produce a risk assessment map for wildfire risks based on the forecasting of environmental and ground quantities and the presence and relev...
Climate change, with its accompanying global warming and increasingly severe weather conditions, presents substantial risks to agricultural sustainability worldwide. This is driving the agri-food sector to adapt through the use of new technologies and str...
OPTIMAL for cOPernicus irrigaTION mAnagement tooLkit is a combination of state-of-the-art Machine Learning techniques that is designed to forecast environmental parameters which enable the delivery of irrigation needs intelligence.
Maritime transport plays a vital role in our global economy, but navigating the vast ocean can be challenging. The AI4Copernicus ODFuse4Ship project, led by our Ocean-tech start-up AMPHITRITE, is set to change that by harnessing the power of satellite dat...
The Lobelia Air project focuses on calibrating low-cost air quality sensors using AI techniques leveraging on EO derived AQ and meteorological data.
The aim of this project is to develop an AI-based service that assists livestock farmers decision-making by leveraging IoT and satellite imagery. The service is focused on optimizing the use of the available natural resources and reducing the negative eff...
Fertirec offers Nitrogen Recommendation services for four major crops (Wheat, Barley, Rapeseed, and Corn) at both the postcode and district levels. This service is available for customers in the European Union (EU) and the United Kingdom (UK).