This continuation project aims to develop infrastructure to accelerate the scaling of agricultural AI technologies. Specifically, we are creating an open-source Python library, called AgML, that enables access to agricultural-specific machine learning (ML) datasets, benchmarks, pre-trained models, workflows, and synthetic data generators. This work builds off numerous successes from Year 3 AIFS proposal “AgML: Open-Source Infrastructure to Accelerate Scaling of Agricultural AI Technologies”.