Аннотация:Plant pathogens may cause significant yield losses threatening to the global food safety. A common (routine) approach to crop protection includes regular and frequent pesticide treatments independently of the weather and disease development level that often results in excessive contamination of the environment and extra costs due to unnecessary use of pesticides. Use of modern digital technologies, such as computerized decision support systems (DSS) allows farmers to reduce the number of required treatments depending on the weather data and characteristics of the cultivars and pesticides used. To demonstrate advantages of the use of the Agrodozor DSS developed by the authors of this study, in silico evaluation of the efficiency of this online resource has been carried out for the Baltic region (Estonia, Latvia, Lithuania, Poland, and the Kaliningrad region of Russia) in relation to the potato late blight and its control by fungicides. Using archived data (2005-2018) from 22 weather stations located at the studied region, its climatic zoning in relation to potential potato yield losses caused by the late blight has been performed followed by the optimization of the fungicide treatment schemes. Weather conditions favourable for the disease development (>20% of potential yield losses) were frequent in the Kaliningrad region, Latvia, and Lithuania (71.6, 50.0, and 50.8% of the analyzed seasons, respectively), whereas Estonia and Poland showed mainly unfavourable conditions (59.0 and 60.3%, respectively). Comparing to the routine approach, the Agrodozor DSS provided a 1.3–3.2× reduction of the number and costs of fungicidal treatments and 1.2–5.8× reduction of their total toxicity that indicated its high efficiency and practical potential.