Climate-informed assessment of the status of agricultural crops using artificial intelligence and satellite data

This publication provides a comprehensive overview of the methodologies, architecture, and practical application scenarios developed within the ALIANCE project. It explores the integration of climate data, satellite imagery, and artificial intelligence to enhance agricultural crop condition assessment. Key topics include advanced techniques for localised weather forecasting, cloud removal in Earth Observation data, and the use of temperature products for micrometeorological analysis. The book also details the vision and implementation of AI-driven assistant systems (GeoLLM) to support farmers, advisors, and public administrators in making informed decisions. It highlights the project's achievements in creating interoperable data services and building a European platform for agricultural analytics.