Tanaka, Colaço, Mieno, and Riley have published a comprehensive open-access review in Plant Production Science (Vol. 29, No. 2) covering the full landscape of data analytics for OFE. The paper surveys statistical approaches for spatially heterogeneous field data, machine learning methods for site-specific management, cross-site synthesis frameworks, and simulation-based tools for evaluating experimental designs. It also looks ahead at emerging opportunities, including causal ML, smartphone-based yield estimation for smallholder systems, and the potential role of large language models in supporting farmer-researcher communication. Read the full paper here.