AI-RON MAN Wildfire Hazard Risk Assessment scheduled pipeline to continuously update Thermal Anomalies predictions read more of AI-RON MAN Wildfire Hazard Risk Assessment - Pipeline

Discover one of the breakthrough achievements of the ESFA project, a pioneer project in the field of Artificial Intelligence applied to Climate Prediction. Leveraging Geoskop’s revolutionary AI algorithms, housed in a Docker image, we provide unprecedente... read more of Geoskop - ESFA: Time Series Forecaster component

Farmers need cost-effective nitrogen (N) rate recommendations (Rx) in order to make better fertilisation decisions and comply with regulations while maintaining production. We provide district-based N rate Rx, allowing farmers and consultants to better un... read more of Postcode based fertilizer rate recommendation system

AI-RON MAN Wildfire Hazard Risk Assessment web application read more of AI-RON MAN Wildfire Hazard Risk Assessment - Webapp

Backend service of AI-RON MAN Wildfire Hazard Risk Assessment platform read more of AI-RON MAN Wildfire Hazard Risk Assessment - Backend service

The AI4CNC experiment is designed to develop a Federated Learning System Platform for CNC machines to estimate tool wear through AI models and secure data sharing. The main objective is to use data from TEKNOPAR's CNC machines and sensors to estimate tool... read more of AI REGIO AI4CNC - A Federated Learning System Platform Development for CNCs

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... read more of UrbAlytics

This dataset contains a set of georeferenced labels used in the LIVE4ENV project for training and evaluating an AI model for land-cover classification in livestock farms. It includes 3 classes: - 0: non-productive areas - 1: woodland - 2: pasture read more of Labels for land-cover classification in livestock farms

The main goal is to achieve excellence in the HELIOS public lighting remote management system, implemented in more than 40 cities in Spain. We will use AI to predict future breakdowns for both luminaire and eboxes. The necessary data is included read more of Predictive maintenance for public lighting system

Frontend of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting services read more of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting - Frontend service