This session focuses on innovation in agricultural statistics, highlighting the use of advanced methods such as machine learning, automation, and optimization to improve data collection and quality. It showcases practical experiences from census pilots and new data models, as well as applications supporting food security and sustainable agriculture. Together, the contributions demonstrate how data-driven approaches are reshaping agricultural statistics in diverse contexts.