Knowledge Management for Agricultural Development

People’s technological, political and cultural and consumption habit changes have a strong impact on economic sectors, as the methodology for using data, information and knowledge changes, with emphasis to the modern agricultural sector. This delimited the objective of this research, which focused on raising antecedents that favor the nations’ knowledge management and agricultural development. Concerning the research methodology, this study uses a descriptive approach and was developed through a meta-analysis of results of studies selected from the Scopus database on “knowledge management” and “agricultural development”, from 2008 to 2018. As for the main results found, among the ten antecedents of knowledge management identified for the promotion of agricultural development, half of them related with data science. Thus, the investment in data science can be seen as substantial for the agricultural development in nations. This way, as a conclusive summary, there is the promotion and adoption of several applications for science data, as well as the generation of national environments of innovation, which are the most relevant aspects of knowledge management for the agricultural development in nations.