Simulation models, meta-analyses, and machine learning require standardized data; however, in agricultural research, much valuable information from the published literature is available only in unstructured, non-machine-readable formats. Can this data be converted into analyzable datasets? And if so, how can we successfully extract structured and consistent metadata from scientific publications? In Use Case 2, a model is being developed for this purpose. XinXin Chen (Use Case 2 / ZALF) will report on the basis of this approach and the current status of the Use Case 2 team on Monday, August 3, at 3:00 p.m.: “AI-based data extraction from literature for agroecosystem modelling”.
Please note: As of now the FAIRagro Talk series will take place at a new location