Digital technologies for evidence-based agrometeorology
Application of remote sensing technologies (from satellite monitoring to robotics) in agriculture and industry; AI-powered technologies (machine learning and deep learning (neural networks)); information - modeling forecasting systems (including digital twin technologies in agriculture); application of geoinformation technologies for spatial analysis and modeling, ecological monitoring.