Assessing Farmer Education and Adoption in GreenTech Cooperative

Thesis Abstract

This study investigates how farmer education efforts within GreenTech Cooperative influence the adoption of sustainable agricultural technologies and practices, addressing a critical gap between extension outreach and on-farm behavioral change among members in a high-innovation agricultural community. The problem centers on suboptimal uptake of precision farming tools, climate-smart practices, and agroecological methods despite ongoing training programs, potentially limiting productivity gains and environmental benefits. The aim is to evaluate the effectiveness of the cooperative’s education interventions in driving adoption, elucidate moderating factors, and provide actionable recommendations to strengthen knowledge-to-action pathways. Specific objectives are (1) to assess farmers’ knowledge, attitudes, and perceived usefulness of GreenTech’s training modules; (2) to measure adoption levels of selected technologies (soil moisture sensors, variable-rate fertilizer applications, and cover cropping) and associated behavioral determinants; (3) to identify barriers and enablers to adoption at the farmer, organizational, and community levels; (4) to examine the relationship between education quality, trust in information sources, and adoption intensity; and (5) to propose a theoretically informed framework for optimizing farmer education strategies within innovation-driven cooperatives. The methodology adopts a mixed-methods design underpinned by the Diffusion of Innovations and Technology Acceptance Model theories. The contemporary study population comprises 1,250 GreenTech Cooperative members across three districts. A stratified random sample of 380 farmers will be drawn, ensuring representation by farm size and experience, with 60 key informants including extension officers, cooperative managers, and agribusiness partners. Data collection instruments include a structured survey measuring knowledge, attitudes, perceived ease of use, perceived usefulness, social influence, and adoption behavior, alongside semi-structured interviews with selected farmers and staff to capture contextual insights. Instrument validity will be established through content validity by a panel of five agricultural education and extension experts and pilot testing with 40 farmers, with reliability assessed via Cronbach’s alpha (aiming for ? ? 0.70). Quantitative data will be analyzed using descriptive statistics, Pearson correlation, and multiple regression to test the determinants of adoption, complemented by logistic regression for adoption status. Mediation analysis will explore whether knowledge and attitudes mediate the education-adoption relationship. Qualitative data from interviews will be analyzed thematically using a deductive-inductive approach to identify recurring patterns and corroborate quantitative findings. A convergent mixed-methods design will integrate results at interpretation to provide a holistic understanding of education-adoption dynamics. Expected findings anticipate a positive association between high-quality, locally contextualized training and higher adoption rates of precision and ecological practices, moderated by trust in sources, perceived relative advantage, and farm-risk perceptions. The study also expects to reveal that organizational factors such as training frequency, peer networks, and demonstration plots significantly shape diffusion velocity within the cooperative. The contribution to knowledge includes a theoretically anchored, context-specific model of farmer education-to-adoption pathways for innovation-driven cooperatives, integrating aspects of adult learning theory with diffusion processes and technology acceptance constructs. Practically, the research will offer evidence-based recommendations for optimizing curriculum design, extending peer-learning approaches, enhancing demonstration-led learning, and aligning incentive structures to accelerate sustainable technology uptake. The main conclusion is that targeted, participatory education interventions that align perceived usefulness with observable farm-level benefits, reinforced by trusted extension support and robust demonstration activities, are essential to convert knowledge into sustained practice. Recommendations include institutionalizing iterative feedback loops between farmers and program designers, expanding on-farm demonstration networks, tailoring content to varying farm typologies, and applying continuous impact monitoring to inform adaptive extension strategies. Further research is suggested to explore long-term impacts on productivity, environmental performance, and livelihoods, as well as comparative studies across cooperative contexts with differing governance and market structures.