The OpenAG initiative aims to establish an advanced, structured knowledge base that unifies fragmented agricultural data from diverse sources such as scientific research, field observations, and the tacit knowledge of experienced farmers and scientists. These vital insights are often scattered across multiple formats and locations, impeding any holistic understanding. In addition, crucial expertise frequently resides within commercial enterprises, where proprietary data restricts access for small- and mid-scale farmers.

By employing an intelligent knowledge graph system, OpenAG seeks to democratise agricultural intelligence so that farmers of all scales can make informed decisions using the latest AI-driven best practices. This knowledge graph will underpin a suite of open-source foundation models tailored to specific agricultural categories, thereby facilitating evidence-based, sustainable farming. The end goal is to ensure that cutting-edge agricultural knowledge transcends silos and becomes universally accessible, enabling farmers to drive innovation and productivity.