In recent years, Synthetic Aperture Radar (SAR) have gained increasing importance in agricultural applications because of its ability to operate without regard to weather, cloud cover, or daylight. The launch of the C-band Sentinel-1 mission, the X-band TerraSAR-X mission, the commercial-grade Capella’s satellites, and the upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission planned in the coming years is steering in a new era for SAR-based agricultural monitoring. In this session, we aim to highlight the advances of SAR applications in predictive agriculture using publicly available and commercial datasets. We solicit contributions from public and private sectors showcasing recent developments in SAR applications in the following two areas: (1) Recent developments that take full advantage of the densely sampled time-series information of SAR data and machine learning for crop classification, and (2) Recent progress of SAR data for agricultural flood monitoring.