Assessing the Impact of Mobile Technology on Farmers' Knowledge and Practices

Thesis Abstract

Mobile technology has become an increasingly vital tool for enhancing agricultural productivity and knowledge dissemination among farmers, particularly in developing regions where traditional extension services face logistical and resource constraints. Despite the widespread adoption of mobile devices and related services, limited empirical evidence exists on how these technologies influence farmers’ knowledge levels and practical farming behaviors. This study aims to assess the impact of mobile technology utilization on farmers’ knowledge acquisition and adaptive practices, focusing on smallholder farmers in the rural districts of the Central Agricultural Zone. The specific objectives are to evaluate the extent of mobile technology use among farmers, identify the types of information accessed via mobile platforms, measure changes in farmers’ knowledge related to crop management and pest control, and analyze the relationship between mobile technology use and adoption of improved farming practices. A mixed-methods research design was adopted, integrating quantitative and qualitative approaches to provide a comprehensive understanding of the phenomena. The target population comprises 2,500 registered smallholder farmers within the zone, from which a stratified random sample of 400 farmers was selected to ensure representativeness across different farm sizes and demographic groups. Data collection instruments included structured questionnaires to quantify mobile usage patterns and knowledge levels, as well as focus group discussion guides to explore farmers’ perceptions and experiences. Validity and reliability of the questionnaires were established through expert reviews and pilot testing, achieving a Cronbach’s alpha coefficient of 0.87. Quantitative data were analyzed using multiple regression analysis to examine the influence of mobile technology usage on farmers’ knowledge and practices, controlling for demographic and socio-economic variables. Descriptive statistics provided insights into mobile device ownership, frequency of use, and types of information accessed. Thematic analysis was employed for qualitative data to identify recurring themes related to perceived benefits, challenges, and suggestions for improving mobile-based extension services. The anticipated findings suggest a significant positive correlation between mobile technology use and increased knowledge of modern agricultural practices, including pest management, soil fertility management, and climate adaptation strategies. It is expected that farmers with higher frequency and diversity of mobile technology use demonstrate greater adoption of improved practices, such as the use of certified seeds, integrated pest management, and soil conservation techniques. The study also hypothesizes that barriers such as network connectivity issues, digital literacy levels, and language limitations impede the full potential of mobile interventions among certain farmer groups. This research contributes to existing knowledge by providing robust empirical evidence on the role of mobile technology in transforming agricultural extension, particularly in the context of smallholder farmers in developing countries. It advances theoretical understanding by integrating the Technology Acceptance Model (TAM) and the Diffusion of Innovations Theory to explain adoption behaviors. Findings aim to inform policymakers, extension agencies, and technology developers on designing targeted interventions to enhance mobile-based extension strategies. The main conclusion underscores that mobile technology significantly enhances farmers’ knowledge and encourages the adoption of sustainable and innovative farming practices. Recommendations emphasize the need for expanding digital literacy training, improving network infrastructure, and developing farmers’ tailored mobile content to maximize benefits. The study advocates for integrating mobile technology into mainstream extension services, fostering collaboration between government agencies and private telecom operators, and encouraging ongoing research to explore emerging digital tools for agricultural development. Future research directions include longitudinal studies to assess long-term impacts and comparative analyses across different agro-ecological zones.