Quantifying the Effects of Drought Using the Crop Moisture Stress as an Indicator of Maize and Sunflower Yield Reduction in Serbia

The drought in Serbia the summer of 2017 heavily affected agricultural production, decreasing yields maize, sunflower, soybean, and sugar beet. Monitoring moisture levels crops can provide timely information about potential risk within a growing season, thus helping to create an early warning system for various stakeholders. purpose this study was quantify level stress during consequences that it have on yields. For that, maize sunflower yield data provided by company were used at specific parcels Backa region Vojvodina province (Serbia) 2017, 2018, 2019, 2020. crop estimated each parcel calculating normalized difference index (NDMI) from Sentinel-2 months (June–July–August). Based average NDMI value July, new (CMS) introduced. results showed CMS values could be within-season estimation assessment effects. tested current season 2022 as reduction, demonstrating included platform digital agriculture, such AgroSens, which is operational Serbia.