Abstract:
This study explored and designed an indigenous knowledge management framework for the agri
food system in the Nuer Zone of Gambella, Ethiopia. The study aimed to investigate the transition
of traditional indigenous knowledge into digital technology by establishing a framework that
guides the preservation and application of this knowledge within indigenous agricultural
practices. The research identified a significant problem degradation of indigenous knowledge due
to globalization and different cultural influences, which hindered effective preservation and
transfer among generations with in the indigenous community. Despite the existence of traditional
agricultural practices, there is a lack of structured methods to manage and utilize this knowledge
within the agri-food system. A mixed-approach employed, combining quantitative and qualitative
data collection techniques. Tools such as surveys, and interviews, were used to gather insights
from local farmers, community leaders, and agricultural experts, and data analysis software SPSS
for analyze the data. Data collected from three woreda where 46 respondents from each woreda
selected as respondents give 138 respondents. The findings highlighted the status of indigenous
knowledge management and the challenges faced by the community, with 76.1% of respondents
indicating that they encounter difficulties. Additionally, the potential for a framework that
integrates this knowledge with modern technology is promising; however, the availability of
policies supporting indigenous knowledge in food systems is alarmingly low, with 92.8% reporting
that no such policies exist. The study concluded that the proposed Indigenous Knowledge
Management Framework could effectively bridge the gap between traditional practices and
contemporary agricultural needs, fostering innovation and improving food security in the Nuer
Zone. This framework not only served as a repository for indigenous knowledge but also promoted
sustainable agricultural practices that benefit the local community.