Together with colleagues from the World Bank and the Joint Research Center, employees of the Department of Mathematical Modeling and Data Analysis assessed the direct and indirect losses from the Russian war on the area of agricultural crops, as well as the expected harvest of winter crops in Ukraine. On the basis of satellite data, direct damage to agricultural fields was determined, and machine learning models were built to determine the area of crops.
The potential yield was estimated on the basis of vegetation indices and regression analysis. Taking into account the loss of territories and the decrease in the intensity of vegetation in the war zones, according to our estimates, the loss of the winter crop this year will amount to more than 20%, provided that it is fully harvested and properly transported, impressively in unoccupied territories.
Students of the Department of Mathematical Modeling and Data Analysis were involved in the preparation of the materials on the basis of which regressions were calculated and damage assessments were made, including students of the summer school, which began on July 8 on the basis of the Department of Mathematical Modeling and Data Analysis of NN FTI NTUU “KPI”, together with the State University Maryland (USA), Anhalt University of Applied Sciences (Germany), in cooperation with representatives of the National University of Kyiv-Mohyla Academy .
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