SDSS integrates VHR imagery-based field boundary delineation, time-series classification for crop identification, and crop simulation models for yield prediction under varying climatic conditions. The approach combines segmentation, classification, and yield estimation into a unified GIS-based plugin, utilizing data from Earth Observation satellites, meteorological fluxes, and field observations. This comprehensive model offers an efficient solution for reliable and scalable agricultural yield assessment across diverse regions
Accessibility Controls