The goal is to accelerate the development and adoption of trustworthy, high-impact AI solutions across Cyprus key sectors.
The goal is to increase the resilience of Limassol in the face of climate change, becoming a key actor for mitigation and adaptation.
The goal is to analyze the most important climate risks of the city of Nicosia, Cyprus, i.e. flooding, urban heat island effect and heatwaves.
The goal is to create a sustainable network in HTP research, improving the innovation capacity of widening countries via real-world pilots.
The goal is to predict solar flares by observing active regions of the Sun, i.e. areas on the Sun with very strong magnetic fields.
The goal is to support insect monitoring and conservation at European scale in order to understand and counteract insect declines.
The goal is to develop a next-generation farm intelligence platform, improving production quality, productivity and animal welfare.
The goal is to detect disinfection byproducts via sensor monitoring devices, modelling their spread through water distribution systems.
The goal is to develop effective EBRM methods integrated into invasive rodent management systems in Mediterranean countries.
The goal of this project is to create a novel SR reconstruction model to output realistic remote sensing images by exploiting DSM information.
The goal of this project is to take advantage of the shadow maps of remotely sensed images to calculate their heightmaps.
The goal of this project is to estimate the environmental risk of disasters on properties around Cyprus.
The goal of this project is to monitor the behaviour of bees via multi-modal sensing, detecting threats and dangers isn real-time.
The goal of this project is to identify where dumping occurs from satellite imagery and then check whether this dumping is illegal.
The goal is to optimize decision-making in afforestation efforts, promoting collaboration among the communities of Cyprus.
The goal of this project is to develop a mobile app that facilitates the financial and social integration of migrants in Cyprus.
The goal of this project is to create a high-resolution land cover map of Cyprus, based on the CORINE classes.
The goal of this project is to develop a framework that helps people to escape wildfires happening near them, in real-time.
The goal of this project is to employ a density-based deep learning model to perform animal census based on aerial photography.
The goal of this project is to use a mobile app for more efficient contact tracing in order to mitigate and contain the spread of COVID19 in the Cyprus community.
The goal of this project is to use insights from human and animal cognition to improve the performance of deep learning models.
The goal of this project is to find a dynamic solution for the division of labour among robots, for different types of agricultural fields..
The goal is to use aerial photos coming from drones, combined with ground truth data to teach deep learning models to correctly classify tree species in Japanese forests based on their canopy.
The goal of this project is to transfer animal manure to nearby crop farms, to be used as a fertilizer for the crops, transforming manure from a waste to a resource.
The goal of this project is to examine the impact of blockchain technology in agriculture and food supply chain.
The goal of this project is to examine the potential of IoT and Web of Things, together with robotic systems.