Infopaket

Modelling in Agrometeorology

ОК 12.

Обов’язкова дисципліна для ОП

Second

2022/2023

2 Semester

6

PO01. Analyze the features of natural and anthropogenic systems and objects of the Earth's geospheres. PLO02. Apply their knowledge to identify and solving problematic issues and making and make informed decisions in the Earth sciences. PLO12. Model geospheric objects and processes, using cartographic and mathematical methods and geographic information technologies.

Full-time form

Knowledge of the main patterns of weather and climate impact on agrophytocenoses. Ability to assess and analyze the features and consequences of the impact of weather conditions on agricultural production facilities. Possession of skills in processing agrometeorological and agroclimatic information, methods of agrometeorological forecasting, methods of synthesis and analysis of information.

The discipline is devoted to the study of theoretical foundations and methods of mathematical modeling of radiation, thermal and water regimes in agrophytocenoses, as well as their impact on the processes of growth, development and yield formation of crops. The course consists of two content modules. The first content module is devoted to the theory of modeling (basic principles of mathematical modeling in agrometeorology, properties of modeling objects and approaches to modeling energy and mass transfer in soil and vegetation cover). The second content module is devoted to modeling the processes of plant growth and development and crop yield formation, namely, studying the content, structure and features of the application of physical and statistical models and dynamic simulation models of the plant production process, as well as an overview of modern approaches and prospects for modeling development. Installation and use of the R programming language.

1. Genovese, G.P. (2001). Introduction to the MARS Crop Yield Forecasting System (MCYFS). Meeting on 4 and 5 October 2001, Luxembourg. Space Applications Institute, Joint Research Centre of the European Commission, Ispra, Italy, pp. 15. 2. Diepen, C.A. van. (1998). Application of simple interpolation methods in agrometeorology. In: B. Gozzini, M. Hims (Eds). Proceedings of workshop on dealing on spatialisation, 24-25 September, 1996, Toulouse. EUR 18473 EN, Office for Official Publications of the EU 3. Keulen, H. van, Diepen, C.A. van. (1990). Crop growth models and agro-ecological characterization. In: A. Scaife (Ed.). Proceedings of the first congress of the European Society of Agronomy, 5-7 December, Paris, CEC, ESA, INRA, pp. 1-16. 4. Польовий А. М. Моделювання гідрометеорологічного режиму та продуктивності агроекосистем : [підручник] – Одеса: Екологія, 2013. – 432 с.

Lectures, practical, independent work

The semester number of points is formed by the points received by the student in the process of mastering the material from two content modules and performing individual creative works

Ukrainian