Overview

Nem várt hiba jelentkezett.
Research keywords:
modelling, agrometeorology, climatology, crop production, stress analysis

Publications


Projects

GINOP-2.3.4-15-2016-00005 project, “Development of agricultural technologies adapted to the climatic changes among intensive production to achieve sustainable agriculture and food production"
Climate change poses significant challenges to the domestic agricultural sector. Its medium- and long-term effects are difficult to predict but definitely threaten the safe and profitable production of food raw materials. Consequently, it was imperative to develop crop, livestock and feed technologies and technological variants that could be applied in the context of rapidly changing climatic conditions. It was imperative to examine the entire production chain, from farm to fork, to identify critical points and guarantee the quantity and quality of plant and animal products produced in a manner that ensures food and feed safety. https://palyazatok.uni-mate.hu/web/mate-p%C3%A1ly%C3%A1zatok/GINOP-2.3.4-15-2016-00005

EFOP 3.6.2-16-2017-00018, “Let’s Produce with nature − agro-forestry as a new break-through opportunity"
Agroforestry systems represent a form of farming wherein the cultivation of woody vegetation, agricultural crops, and the rearing of livestock are interlinked in time or space. For nearly three decades, the World Agroforestry Centre (ICRAF) has been engaged in research on a diverse range of agroforestry issues. The project facilitated the domestic adaptation of agroforestry systems.
https://projektek.uni-sopron.hu/efop-362-018

Weather Intelligence for Renewable Energies (WIRE), Action ES-1002 of European Cooperation in Science and Technology (COST – ES1002)
Due to climate change and shrinking fossil resources, the transition to more and more renewable energy shares is unavoidable. But, as wind and solar energy is strongly dependent on highly variable weather processes, increased penetration rates will also lead to strong fluctuations in the electricity grid which need to be balanced. this Action will have two main lines of activity: first develop dedicated post-processing algorithms coupled with weather prediction models and measurement data especially remote sensing observations; second investigate the difficult relationship between the highly intermittent weather dependent power production and the energy distribution towards end users. 
https://www.cost.eu/actions/ES1002/

Dr. Katalin Somfalvi-Tóth
Institute of Agronomy
Campus address: H-7400 Kaposvár, Guba Sándor str. 40.
Somfalvi-Toth.Katalin@uni-mate.hu
Somfalvi-Toth.Katalin@uni-mate.hu

MTMT: 10035174
Scopus: 55906610300