The Use of Digital Agricultural Extension and Advisory Services by Cassava and Sweet Potato Farmers in Moyamba District Southern Sierra Leone

Abstract

This study was, designed to look into cassava and sweet potato farmer’s use of Digital Agricultural Extension Advisory Services in Moyamba District Southern Sierra Leone. Three hundred (300) respondents were chosen from the total population consisting of three Chiefdoms: Kori, Dasse, and Kamajei. Questionnaires and interview schedules were used. Data was analyzed using the Statistical Package for Social Sciences (SPSS) software. The descriptive statistics was used for tables, frequency distributions and percentages, mean, Variance and Standard deviation. In addition, Pearson’s Correlation Coefficient (r), Multiple Linear Regression (MLR) analysis and Problem Face Index table was used. Four distinct clusters such as Digital Novices, Basic Practical Users, Integrated Connectors, and Advanced Analysts, were identified. According to our findings it was revealed that farmers who possessed certain advantages—such as access to loans, secondary and primary education, married couples, large farm sizes, and substantial family labor are better positioned to leverage these technologies effectively. Lack of financial support, high initial costs, and limited connectivity are the most severe barriers. It was concluded that farmers with secondary education who operate large farms with ample family labor resources were uniquely positioned to benefit from the adoption of digital tools and advisory services in agriculture.