The site contains information on research projects and ongoing scientific conferences.
Research projects:
Complex of urban ecological support (CUES – BR21881908)
The aim of the project: Creation of a complex of ecological support of urban environment on the basis of UAV, which is able in semi-automatic mode to detect air, water pollution, noise, to assess the level of traffic, to identify places of increased heat energy consumption and to map the obtained data.
Rapid assessment of soil salinity using low-altitude unmanned aerial platforms (AP23488745 – RASS 2024-2026)
The aim of the project: Development of a method for rapid assessment of land salinity based on machine learning using unmanned aerial platforms.
Development of Intelligent Data Processing and Flight Planning Models for Precision Farming Tasks Using UAVs (IRN AP08856412 – IUAVT)
The aim of the project: Development of models of data processing and flight planning of technically heterogeneous UAVs for the decision of problems of precision farming on the basis of methods of artificial intelligence.
Space monitoring and GIS for quantifying soil salinity and degradation of agricultural land in southern Kazakhstan (BR 10965172 – QASS)
The aim of the project: Creation of a web-based geoinformation service for operational monitoring of a quantitative assessment of the degree of soil salinity and degradation of agricultural land in the South of Kazakhstan based on data from remote sensing of the Earth.
The system for supporting agrotechnical measures in crop production based on a set of monitoring tools and artificial intelligence methods (BR24992908 – Agroscore)
The aim of the project: To create a support system for agrotechnical measures in crop production based on a complex of monitoring systems and artificial intelligence methods, which ensures an increase in the efficiency of forage agricultural production.
Development and adaptation of computer vision and machine learning methods for solving precision agriculture problems using unmanned aerial systems (AP14869972 – IUAVT2PA)
The aim of the project: To develop and adapt computer vision and machine learning methods for solving precision agriculture problems by processing data and images obtained using unmanned aerial systems.
Developing methods and algorithms of intelligent GIS for multi-criteria analysis of healthcare data (IRN AP09259587 – IGISMA)
The aim of the project: Development of models, algorithms, and methods, an intelligent geoinformation system for multi-criteria decision support in health care based on the models of explainable machine learning, NLP, GIS using social, medical, and economic information.
Development of a Data Mining System for Monitoring Dams and 576 Other Engineering Structures under the Conditions of Man-Made and Natural Impacts (BR18574144 – IMDES)
The aim of the project: Creation of a monitoring system for dams and other engineering structures under conditions of man-made and natural influences using intelligent data analysis.