Assessing the Impact of Mobile Apps on Smallholder Farmers' Knowledge and Productivity

Thesis Abstract

The rapid proliferation of mobile technology has transformed information dissemination and service delivery in rural agricultural contexts, yet its impact on smallholder farmers’ knowledge enhancement and productivity remains inadequately documented. This study investigates the extent to which mobile applications influence smallholder farmers’ access to agricultural information, decision-making processes, and subsequent productivity outcomes within a semi-arid region characterized by subsistence and market-oriented farming. The primary aim is to assess whether mobile app usage correlates with improvements in farmers’ agricultural knowledge and productivity levels, thereby informing digital extension strategies. The specific objectives include (1) to evaluate the adoption rate of mobile apps among smallholder farmers, (2) to determine the relationship between mobile app use and farmers’ agricultural knowledge, (3) to analyze the impact of mobile app utilization on crop yields and income levels, and (4) to identify contextual factors that mediate or moderate the relationship between mobile app usage and productivity. Employing a mixed-methods research design, the study integrates quantitative surveys with qualitative interviews to capture comprehensive insights. The population comprises smallholder farmers actively engaged in cropping systems within two administrative districts, with a total population of approximately 5,000 farmers. A stratified random sampling technique was employed to select a sample size of 400 farmers for the survey, ensuring representation across age, gender, farm size, and mobile app usage status. Data collection instruments included a structured questionnaire validated through expert review and pilot testing, and semi-structured interview guides for in-depth exploration. Quantitative data were analyzed using descriptive statistics, Pearson correlation, and multiple regression analyses to establish relationships and causality, with SPSS version 26 as the analytical software. Qualitative data underwent thematic analysis utilizing NVivo 12 to identify recurring patterns and themes relevant to mobile app adoption and perceived impacts. Expected findings from this research anticipate a positive association between mobile app usage and farmers’ agricultural knowledge, with significant improvements in the adoption of sustainable farming practices. It is also projected that mobile app use correlates with increased crop yields and income levels, particularly among younger and literate farmers, with literacy and access to training serving as mediating factors. The analysis may reveal that ownership of smartphones, digital literacy, and trust in mobile-based information significantly influence adoption rates, thereby affecting productivity outcomes. The study aims to contribute new knowledge on the mechanisms through which mobile ICT solutions influence smallholder farmers, advancing theoretical understanding by integrating the Technology Acceptance Model with the Diffusion of Innovations theory to explain adoption behavior. The research's primary contribution lies in empirically establishing the linkages between mobile app usage, knowledge enhancement, and productivity gains, filling a notable gap in the digital agriculture literature specific to smallholder contexts in semi-arid regions. The findings will inform policymakers, extension agencies, and technology developers on effective deployment strategies for mobile applications tailored to smallholder needs. Main conclusions underscore the importance of addressing digital literacy barriers and ensuring contextual relevance in app design to maximize adoption and impact. Key recommendations include scaling up user-friendly mobile platforms, enhancing digital literacy programs, and fostering partnerships between government, private sector, and farmer organizations to improve infrastructure and access. Finally, the study advocates for future research focusing on longitudinal evaluations of mobile app impacts and exploring gender-specific effects to deepen understanding of digital agricultural extension’s role in sustainable development.