Center for Information Technologies


Satellites, drones, sensors, and hyperspectral cameras are producing vast amounts of data about the plants. Center for Information Technologies applies advanced machine learning techniques to model the processes happening within biosystems, optimize the decision-making and extract valuable knowledge from long streams of heterogeneous data. Our research focuses on processing of data obtained from various devices, including satellites, soil probes, handheld sensors, and a range of specialized cameras. We are applying techniques of denoising, segmentation and data fusion to prepare the datasets for further analysis through machine learning.