The Master's degree programme in Agroclimatic Engineering includes the study of the latest achievements in the field of agroclimatic engineering.
Crop Selection & Timing
Agroclimatology helps determine the best crops to plant and when to plant them based on specific climate conditions of a region.
Resource Management
It provides data for efficient irrigation and other resource management, leading to better yield and resource use.
Building Resilience
By analyzing climate data and trends, agroclimatology supports the development of management practices that enhance resilience to climate variability and extremes, such as droughts and floods.
Predictive Modeling
Sophisticated models are used to predict crop yields under various climatic conditions and to project future scenarios.
Forecasting & Early Warning
It enables effective prediction of weather patterns, allowing for forecasts of extreme events like heavy rainfall or heatwaves.
Protective Measures
Early warnings allow for protective measures to be taken for both crops and livestock against climatic hazards.
The purpose of the programme is to train specialists capable of developing and implementing the state-of-the art approaches and technologies from evidence–based agroclimatology for monitoring, evaluating, modeling, forecasting, designing and expert support of solutions that promote sustainable management of natural resources.
Interdisciplinary approach:
The study of meteorological, climatic, hydrological and soil conditions in their interrelation with objects and processes of agricultural production; analysis of climate as a factor of agricultural production.
The study of interactions between ecosystem components and sustainable farming practices.
Automatic meteorological observation technologies, remote sensing techniques, unmanned aerial vehicles, land-based, water-based vehicles and their systems, tools and methods for obtaining meteorological data.
The study of systems for collecting, processing and interpreting big data to improve agricultural management through the use of smart information technologies (machine learning, deep learning), visualization methods of big data in agriculture to optimize management of decision-making processes.
Fundamentals of digital cartography, methods and technologies for modeling and forecasting weather, climate and agroclimatic cycles for sustainable management in agriculture (numerical modeling, simulation modeling, digital twins).
Precision agriculture tools like GPS, IoT sensors and AI-powered analytics to monitor soil conditions; genomics methods to study the microbiome and develop biological fertilizers; sustainable management methods to restore soil fertility and maintain biodiversity
Drones & Satellite Imagery: For crop monitoring, early pest detection, and assessing health
The study of the decision-making system in the agro-industrial sector.
Analysis and study of the body of laws, regulations, policies, and international agreements designed to protect the natural environment from human activities and manage the impact on ecosystems and natural resources/
Learning outcomes
Upon completion of the program, graduates will be able to
To design an agroclimatic monitoring system to obtain data, create agroclimatic dynamic models of a certain territory using digital twin technology to increase the efficiency of agricultural production in the face of climate change
Assess the agroclimatic conditions of the territory, identify climate change trends and visualize them using modern GIS technologies
Predict the dynamics of changes in crop production and form recommendations on the rational use of soils, machinery, fertilizers, and staff
Develop recommendations for sustainable agricultural production in a specific area using modern automation tools (robotic unmanned systems
To carry out strategic planning of adaptation of agro-industrial enterprises to climate change and provides recommendations on the implementation of the strategy
Plan and conduct promising scientific research in the field of agroclimatology.
Video about the programme
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The SFedU operates a point-ranking system for assessing students' knowledge during the ongoing control and interim assessment of students’ progress. Students can see their scores in their personal account. The ranking of students by points is taken into account when switching to a non-fee form of training.
Practical training
During their studies, students take a practical training in the form of a research project, an internship at a partner company, and a pre-diploma training, aimed at preparing their Master thesis.
State final attestation
The state final attestation is a public defense of the Master thesis before the commission. The commission includes teachers and representatives of business structures and other universities.