The dataset provides detailed information regarding the implementation of digital technologies in the agricultural domain. It encompasses variables spanning a wide spectrum, from organizational details to the potential impact on various stakeholders within the agricultural sector.
Variables include information about the organization and associated role types, as well as specifics about the utilization and adoption of digital innovations in agriculture. Aspects related to data capture, analysis, and types of data processed are explored, alongside tools employed for these purposes. Furthermore, details about specific interventions, associated business models, involved end-users, and potential economic, social, and environmental impacts are presented.
It consists of data from 50 organizations in Kenya, covering technical aspects such as agricultural data capture and analysis, to broader issues like perceived and real barriers to adopting digital technologies in the agricultural sector. This diversity provides a comprehensive view of the implementation and potential impact of digital innovation in agriculture.
